Magnetic nanostructured materials for advanced bio ...117509/FULLTEXT01.pdf · Functional Materials...
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Magnetic nanostructured materials for
advanced bio-applications
Andrea Fornara
Licentiate Thesis
Stockholm 2008
Division of Functional Materials
Department of Microelectronics and Applied Physics
School of Information and Communication Technology
Royal Institute of Technology
Postal address Division of Functional Materials
Department of Microelectronics and
Applied Physics
Royal Institute of Technology
Electrum 229
Isafjordsgatan 22
SE 164 40, Kista, Sweden
Supervisor Mamoun Muhammed
Email: [email protected]
TRITA-ICT/MAP AVH Report 2008:15 ISSN 1653-7610 ISRN KTH/ICT-MAP/AVH-2008:15-SE ISBN 978-91-7415-184-8 © Andrea Fornara, 2008
Universitetsservice US AB, Stockholm 2008
Functional Materials Division, KTH, 2008 i
Abstract In the recent years, nanostructured magnetic materials and their use in biomedical and
biotechnological applications have received a lot of attention. In this thesis, we developed
tailored magnetic nanoparticles for advanced bio-applications, such as direct detection of
antibodies in biological samples and stimuli responsive drug delivery system.
For sensitive and selective detection of biomolecules, thermally blocked iron oxide
nanoparticles with specific magnetic properties are synthesized by thermal hydrolysis to
achieve a narrow size distribution just above the superparamagnetic limit. The prepared
nanoparticles were characterized and functionalized with biomolecules for use in a
successful biosensor system. We have demonstrated the applicability of this type of
nanoparticles for the detection of Brucella antibodies as model compound in serum
samples and very low detection limits were achieved (0.05 μg/mL).
The second part is concerning an in-depth investigation of the evolution of the thermally
blocked magnetic nanoparticles. In this study, the formation of the nanoparticles at
different stages during the synthesis was investigated by high resolution electron
microscopy and correlated to their magnetic properties. At early stage of the high
temperature synthesis, small nuclei of 3.5 nm are formed and the particles size increases
successively until they reach a size of 17-20 nm. The small particles first exhibit
superparamagnetic behavior at the early stage of synthesis and then transform to
thermally blocked behavior as their size increases and passes the superparamagnetic limit.
The last section of the Thesis is related to the development of novel drug delivery
system based on magnetically controlled release rate. The system consists of hydrogel of
Pluronic FP127 incorporating superparamagnetic iron oxide nanoparticles to form a
ferrogel. The sol to gel formation of the hydrogel could be tailored to be solid at body
temperature and thus have the ability to be injected inside living biological tissues.
In order to evaluate the drug loading and release, the hydrophobic drug indomethacin
was selected as a model compound. The drug could be loaded in the ferrogel owning to
the oil in water micellar structure. We have studied the release rate from the ferrogel in
the absence and presence of magnetic field. We have demonstrated that the drug release
rate can be significantly enhanced by use of external magnetic field decreasing the half
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time of the release to more than 50% (from 3200 to 1500 min) upon the application of the
external magnetic field.
This makes the developed ferrogel a very promising drug delivery system that does not
require surgical implant procedure for medical treatment and gives the possibility of
enhancing the rate of release by external magnetic field.
Functional Materials Division, KTH, 2008 iii
LIST OF PAPERS This thesis is based on following publications: 1. Andrea Fornara; Petter Johansson; Karolina Petersson; Stefan Gustafsson; Jian Qin;
Eva Olsson; Dag Ilver; Anatol Krozer; Mamoun Muhammed and Christer Johansson "Tailored magnetic nanoparticles for direct and sensitive detection of biomolecules in biological samples” Nano Letters 2008, 8 (10), 3423-3428
2. Stefan Gustafsson; Andrea Fornara; Karolina Petersson; Christer Johansson; Mamoun Muhammed and Eva Olsson "Evolution of structural and magnetic properties of magnetite nanoparticles for biomedical applications.” Manuscript
3. Jian Qin; Isaac Asempah; Sophie Laurent; Andrea Fornara and Mamoun Muhammed "Injectable Superparamagnetic Ferrogels for Controlled Release of Hydrophobic Drugs " Accepted for publication in Advanced Materials
Other work not included: 1. Shanghua Li, Jian Qin, Andrea Fornara, Muhammet Toprak, Mamoun Muhammed,
and Do Kyung Kim “Synthesis and Magnetic Properties of Bulk Transparent PMMA/Fe-oxide Nanocomposites” Submitted to Nanotechnology
2. Andrea Fornara; Laura Cattaneo; Stefano Bonetti; Jian Qin; Johan Åkermann and Mamoun Muhammed "Multilayered magnetic nanowires: fabrication, characterization and magnetic alignment", Manuscript
3. Fei Ye; Helen Vallhov; Jian Qin; Eva Daskalaki; Muhammet S. Toprak; Andrea Fornara; Susanne Gabrielsson; Annika Scheynius and Mamoun Muhammed “Synthesis and Effects of High Aspect Ratio Gold Nanorods on Human Antigen Presenting Dendritic Cells ", Manuscript
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Conference presentations 1. Fornara, Andrea; Mikhaylova, Maria; Prieto Astalan, Andrea; Johansson, Christer; Krozer, Anatol; Muhammed, Mamoun "Development of Thermally Blocked Nanoparticles for Biodiagnostic Applications" (poster) Life is Matter - Life Matters: Conversations in Bionanotechnology, Oct 25-27, 2005, Göteborg/Sweden 2. Fornara, Andrea; Mikhaylova, Maria; Prieto Astalan, Andrea; Johansson, Christer; Krozer, Anatol; Muhammed, Mamoun "Development of Thermally Blocked Nanoparticles" BioNanoMaT, Bioinspired Nanomaterials for Medicine and Technologies, Nov 23-24, 2005, Marl/Germany 3. Fornara, Andrea; Muhammed, Mamoun "Magnetic Nanoparticles for Biodiagnostics Applications" (oral) BIODIAGNOSTICS Workshop, November 28-29, 2005, Göteborg/Sweden 4. Fornara, Andrea; Qin, Jian; Muhammed, Mamoun "PLLA-PEG Nanospheres Encapsulating Monodisperse Iron Oxide Nanoparticles for Simultaneous Drug Delivery and MRI Visualization (poster)" 6th International Conference on the Scientific and Clinical Applications of Magnetic Carriers, May 17-20, 2006, Krems/Austria 5. Fornara, Andrea; Qin, Jian; Muhammed, Mamoun "3-G Multifunctional Nanoparticles for Simultaneous Drug Delivery and MRI Visualization (poster)" 8th International Conference on Nanostructured Materials, Aug 20-25, 2006, Bangalore/India 6. Marian, Carmen M.; Fornara, Andrea; Qin, Jian; Muhammed, Mamoun "Optimized Magnetic Nanoparticle for High Resolution Contrast in MRI (poster)" 8th International Conference on Nanostructured Materials, Aug 20-25, 2006, Bangalore/India 7. Fornara, Andrea; Li, Shanghua; Muhammed, Mamoun "Synthesis and characterization of copper sulfide nanoparticles" (poster) International Symposium on Inorganic Interfacial Engineering (IEE 2006), June 20-21, 2006, Stockholm/Sweden 8. Fornara, Andrea "Synthesis and functionalization of magnetic nanoparticle" (oral), BIODIAGNOSTICS Workshop, April 16, 2007, Berlin/Germany 9. Fornara, Andrea; Cattaneo, Laura; Muhammed, Mamoun "Multilayer magnetic nanowires: fabrication, Characterization and nanodevice application" (poster) 2nd Multifunctional Nanocomposites & Nanomaterials: International Conference & Exhibition, January 11-13, 2008, Sharm El Sheikh/Egypt 10. Fornara, Andrea; Nanoparticles for biomedical applications (oral) 3rd Meeting of Italian Researchers in Sweden, January 25, 2008, Embassy of Italy in Stockholm/Sweden 11. Fornara, Andrea; Cattaneo, Laura; Bonetti, Stefano; Qin, Jian: Åkermann, Johan; Muhammed, Mamoun "Fabrication and characterization of multisegment nanowires" (poster) 9th International Conference on Nanostructured Materials, June 2-6, 2008, Rio de Janeiro/Brazil
Functional Materials Division, KTH, 2008 v
Contributions of the author Paper 1. Planning and performing the experiments, characterization of the samples,
evaluation of the results and writing the manuscript.
Paper 2. Planning and performing experiments, performing part of the characterization of
the samples, evaluation of the results and writing parts of the manuscript.
Paper 3. Participate in developing the idea, performing parts of the experiments, writing
parts of the manuscript.
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ABBREVIATIONS AND SYMBOLS AAS atomic absorption spectroscopy AOT aerosol OT, sodium dioctylsulphosuccinate APTMS 3-aminopropyltrimethoxysilane CMC critical micelle concentration [mol/L] CT computed tomography CTAB cetyltrimethylammonium bromide Dc superparamagnetic critical size [m] DDS drug delivery system DLS dynamic light scattering E anisotropy energy [eV] FT-IR Fourier transform infrared H magnetic field [T] HRTEM high-resolution transmission electron microscopy kB Boltzmann constant [m2kgs-2K-1] LPS lipopolysaccharide LCST lower critical solution temperature M magnetization [Am2kg-1] MRI magnetic resonance imaging NMDEA N-methyl diethanolamine NP nanoparticle NIPAAm N-isopropylacrylamide PEG poly(ethylene glycol) PEO poly(ethylene oxide) PF127 Pluronic F127 PLLA poly(L,L-lactide) PNIPAAm poly(N-isopropylacrylamide) PPO poly(propylene oxide) PVA poly(vinyl alcohol) SDS sodium dodecylsulphate SEM scanning electron microscopy SPION superparamagnetic iron oxide nanoparticle SQUID superconducting quantum interference device TEM transmission electron microscopy TMAOH tetramethylammonium hydroxide TSC trisodium citrate UV-Vis ultraviolet-visible VSM vibrating sample magnetometer XRD X-ray diffraction σ standard deviation τ relaxation time of magnetic particle [s] τΒ Brownian relaxation time of magnetic particle [s] τΝ Néel relaxation time of magnetic particle [s] χ magnetic susceptibility [cm3g-1]
Functional Materials Division, KTH, 2008 vii
Table of contents
ABSTRACT ................................................................................................................................................... I
LIST OF PAPERS ...................................................................................................................................... III
TABLE OF CONTENTS .......................................................................................................................... VII
1 INTRODUCTION ................................................................................................................................ 1
1.1 OBJECTIVES ....................................................................................................................................... 1 1.2 OUTLINE ............................................................................................................................................ 3 1.3 NANOSCALE MAGNETIC MATERIALS ................................................................................................. 5
1.3.1 Nanoparticles ........................................................................................................................... 5 1.3.1.1 Magnetic nanoparticles synthesis ...................................................................................................... 5 1.3.1.2 Magnetic properties of magnetic nanoparticles ................................................................................. 8
1.4 BIOMEDICAL APPLICATIONS OF NANOSCALE MAGNETIC MATERIALS ............................................... 15 1.4.1 Biosensor applications ........................................................................................................... 15 1.4.2 Drug delivery systems ............................................................................................................ 17 1.4.3 Magnetic Resonance Imaging ................................................................................................ 19 1.4.4 Hyperthermia ......................................................................................................................... 21 1.4.5 Bio-manipulation ................................................................................................................... 22 1.4.6 Multifunctional nanoparticles in biomedicine ....................................................................... 24
2 EXPERIMENTAL ............................................................................................................................. 25
2.1 MAGNETIC NANOPARTICLES ............................................................................................................ 25 2.1.1 Synthesis of magnetic nanoparticles ...................................................................................... 25 2.1.2 Evolution study of magnetic nanoparticles ............................................................................ 26 2.1.3 Surface modification of magnetic nanoparticles ................................................................... 26
2.2 FERROGEL PREPARATION ................................................................................................................. 27 2.3 CHARACTERIZATION ........................................................................................................................ 28 2.4 MAGNETIC RELAXATION MEASUREMENTS ....................................................................................... 29 2.5 DRUG RELEASE RATE MEASUREMENTS ............................................................................................ 31
3 RESULTS AND DISCUSSION ........................................................................................................ 33
3.1 MAGNETIC NANOPARTICLES ............................................................................................................ 33 3.1.1 Morphology and structure studies ......................................................................................... 33 3.1.2 Evolution study ...................................................................................................................... 35 3.1.3 Magnetic study ....................................................................................................................... 38 3.1.4 Modification of the surface of nanoparticles ......................................................................... 41 3.1.5 Detection of biomolecules ...................................................................................................... 42
3.2 FERROGEL ........................................................................................................................................ 45 3.2.1 Structure study ....................................................................................................................... 45 3.2.2 Magnetic study ....................................................................................................................... 46 3.2.3 Drug release .......................................................................................................................... 47
4 CONCLUSIONS ................................................................................................................................ 49
FUTURE WORK ......................................................................................................................................... 50
ACKNOWLEDGEMENTS ........................................................................................................................ 51
REFERENCES ............................................................................................................................................ 55
Functional Materials Division, KTH, 2008 1
1 Introduction
Nanotechnology, a broad and interdisciplinary research field involving engineering,
chemistry, physiology, biology and more, has been growing exponentially in the past few
years, showing great potential for several technical and medical applications, such as early
detection, accurate diagnosis and personalized treatment of diseases.
Nanoscale materials and devices are typically smaller than several hundred nanometers
and are comparable to the size of large biological molecules such as enzymes, receptors,
and antibodies. With a size about 100 to 10000 times smaller than human cells, these
nanoscale devices can offer unprecedented interactions with biomolecules both on the
surface of and inside cells.1
The use of nanomaterials in biotechnology and medicine merges the fields of material
science, chemistry, physics and biology. Nanostructured materials, such as nanoparticles,
nanowires, nanotubes and thin films, provide a particularly useful platform for successful
development of wide-ranging therapeutic and diagnostic applications in the biomedical
area.2 Due to the tremendous development of this field of research worldwide, the term
“nanomedicine” was recently coined 3 , long after nanomaterials started to impact
biomedical research.
Magnetic nanoparticles, in particular, have been developed and optimized for
fundamental scientific interest but they have also found many biomedical applications
ranging from contrast agents in magnetic resonance imaging to biosensing applications.4
The unique properties and utility of nanoparticles arise from their peculiarities, including
high surface to volume ratio, large percentage of surface atoms compare to bulk materials
and the size of nanoparticles is comparable to the one of biomolecules such as proteins
and polynucleic acids.5
1.1 Objectives
In this thesis, we are aiming at developing tailored magnetic materials at the nanoscale
for advanced bio-applications, such as direct detection of antibodies in biological samples
and in advanced drug delivery systems.
2
For sensitive and selective detection of biomolecules, magnetic nanoparticles with
specific magnetic properties are developed and used in a novel detection method, which is
fast, easy to use and robust sensor. In-depth studies of the formation of such nanoparticles
are carried out by combining electron microscopy studies with magnetic properties at
different stages during the synthesis.
Besides the work on diagnostic tools, a novel drug delivery system based on
magnetically controlled drug release of drug is prepared and studied. The system is based
on the integration of superparamagnetic iron oxide nanoparticles and Pluronic F127 gels.
Hydrophobic drug indomethacin is loaded in the ferrogel owing to the oil-in-water
micellar structure. The characteristic sol-gel transformation property makes the ferrogel
an injectable drug carrier, which will not require surgical implant procedure for medical
treatment.
Functional Materials Division, KTH, 2008 3
1.2 Outline
This thesis deals with development of tailored magnetic nanomaterials for different bio-
applications, such as early diagnosis of diseases and injectable drug delivery systems.
The common base of the different studies included is the engineering approach to tackle
a problem: first specific requirements about the problem are acquired, determining the
main objective that has to be reached. Then some possible strategies are proposed and the
most viable ones are chosen in order to guide the work, and after following these
guidelines scientific data are collected and the results are discussed in order to check
whether they fulfill the expected objectives and requirements. This is an iterative process
in order to develop and improve the strategies and the results step by step.
Section 1.3 gives an overview on different nanoscale magnetic materials, in particular
nanoparticles. Synthesis procedures, mainly by chemical routes, are reviewed and briefly
described. The magnetic properties of such nanoparticles are also explained, in terms of
superparamagnetic phenomena and relaxation behavior in suspensions.
Section 1.4 introduces the applications of magnetic nanomaterials in the biomedical
field, both from a front-edge research as well as from a clinical point of view.
Nanomaterials have been used to develop and improve the sensitivity and selectivity of
sensors to detect and analyze different biological molecules, such as proteins, plasmids,
antibodies, antigens, bacteria and peptides. Drug delivery systems have also been greatly
improved by nanostructuring existing materials or creating novel nanocomposites. Iron
oxide nanoparticles are currently used in clinical applications for magnetic resonance
imaging, enhancing the contrast of biological tissues and thus providing more accurate
and sensitive diagnosis for numerous diseases. Hyperthermia and bio-manipulation are
two other areas where nanoparticles have been employed to improve disease treatments,
mainly tumors, and in the field of regenerative medicine by magnetic control of stem cells
for tissue reparation. A very recent trend in the nanomedicine field is the development of
multifunctional nanoparticles that are able to achieve different tasks simultaneously, i.e.
drug delivery, magnetic targeting, imaging and sensing the biological environment.
Chapter 2 details the experimental procedures followed for the fabrication, surface
modification and characterization of nanoparticles. Section 2.1 deals with the
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experimental work performed for the synthesis of two classes of magnetic iron oxide
nanoparticles with tailored magnetic properties. Surface modification has been performed
to functionalize pristine nanoparticles for specific biomolecules detection as well as to
form stable suspensions in aqueous media. The preparation of magnetic hydrogel based
on superparamagnetic nanoparticles and Pluronic F127 polymer is reported in Section 2.2.
All the materials were characterized by different techniques to evaluate the physico-
chemical properties, which are described in Section 2.3. Specific experiments have been
performed to measure the relaxation of nanoparticles suspended in a liquid to detect
antibodies as well as to understand the drug release behavior from the ferrogel, as
explained in Section 2.4 and 2.5.
Chapter 3 discusses the results for the synthesis and characterization of nanomaterials
at different processing stages. Section 3.1 deals with the results of nanoparticle synthesis.
Nanoparticles with an average size of ca 20 nm were obtained, as confirmed by electron
microscopy. The evolution studies regarding the formation mechanism of such
nanoparticles are also reported. High resolution TEM images show the crystal structure
and oriented alignment of nanoparticles at an early stage that leads to the final crystal
structure, morphology and size distribution. Section 3.1.3 summarizes the magnetic
measurements obtained with different techniques. The nanoparticle suspension shows
thermally blocked properties with high initial susceptibility. The evolution process was
also studies and analyzed from a magnetic point of view. SPION nanoparticles for drug
delivery system show instead distinct superparamagnetic properties. Section 3.1.4 and
3.1.5 contains the results of the surface functionalization studies and the detection of
anybodies both in biological samples as well as in solutions.
Section 3.2 includes the structural and magnetic evaluation of the prepared ferrogel
system using different techniques. In Section 3.2.3 the drug release rate under different
conditions is reported, underlying the possibility of control the release rate from the
ferrogel by applying an external magnetic field.
Functional Materials Division, KTH, 2008 5
1.3 Nanoscale Magnetic Materials
1.3.1 Nanoparticles
In the past decade, the synthesis and use of magnetic nanoparticles has been intensively
studied not only for its fundamental scientific interest but also for many technological
applications. For example, magnetic nanoparticles were applied in different research
fields, such as sensor developments, magnetic resonance imaging in medicine, drug
delivery systems, hyperthermia, and magnetic separation.6
The vast interest in nanostructured particles mainly arises from the fact that these
structures possess novel physical and magnetic properties that differ from the one of bulk
materials. This is significant in the case of nanoparticles that have a large surface to
volume ration and the percentage of surface atoms is large, resulting in characteristic and
distinct physical properties.5
1.3.1.1 Magnetic nanoparticles synthesis
In the last decades, several methods for the preparation of magnetic nanoparticles in the
nanometer scale have been proposed and developed. The most common approaches used
are chemical/physical vapor deposition7, mechanical attrition8 and chemical routes from
solutions 9 . Among several advantages, chemical synthesis in solutions gives the
opportunity to precisely tailor the particle size, morphology, distribution, structure as well
as their magnetic properties. They can be prepares as stable colloidal suspensions in
aqueous or organic solutions. 10 Several types of magnetic nanoparticles have been
synthesized with a number of different compositions and phases, including iron oxides,
such as Fe3O4 (magnetite) and γ-Fe2O3 (maghemite),11 pure metals, such as Fe and Co,12
spinel-type ferromagnets, such as MgFe2O4, MnFe2O4, and CoFe2O4,13 as well as alloys,
such as CoPt3 and FePt.14
6
Several chemical approaches can be used for the preparation of magnetic nanoparticles,
precipitation, sol-gel, hydrothermal, microemulsion and thermal decomposition of organic
precursors. These techniques will be briefly described in the following section.
Iron oxide nanoparticles, Fe3O4 and Fe2O3 currently used in clinical investigations as
magnetic resonance imaging (MRI) contrast agents are predominantly synthesized by
aqueous co-precipitation process with coating layers.15,16 This hydrolytic process consists
of increasing the pH of the metal-ions solutions resulting in the precipitation of
nanoparticles with the desired composition. The size, shape, and composition of the
magnetic nanoparticles depends very much on the types of salts used (e.g. chlorides,
sulfates, nitrates), the Fe2+/Fe3+ ratio, the reaction temperature, the pH value and ionic
strength of the media.17 Other magnetic nanoparticles of ferrite structures, containing
cobalt, zinc and manganese, are also prepared by this method.18,19 Recently, significant
advances in preparing monodisperse magnetite nanoparticles, of different sizes, have been
reported by the use of organic additives as stabilization and/or reducing agents, such as
PVA, TMAOH, TSC. With this method, spherical nanoparticles with size in the
nanometer range can be obtained, but with rather large size distribution. This technique
allows preparing large quantities of nanoparticles in a single batch in a cost-effective
way.9
Another route to prepare magnetic nanoparticles, in particular oxides, is the sol-gel
method. It is a solution chemistry-based technique to synthesize pure, stoichiometric and
monodisperse oxides nanoparticles, starting from metal precursors that undergoes slow
hydrolysis and polycondensation reactions to form a colloidal system, called sol. The sol
evolves and leads to the formation of a network containing a liquid phase, called gel.20
Nanoparticles with large size, ranging from tens to hundreds of nanometers with relatively
narrow size distribution, can be obtained. This method can be performed at low
temperatures and is suitable for large scale production.21
A third route for nanomaterials preparation is the hydrothermal method operating at high
temperature. It has been used mainly for the synthesis of ferrites nanoparticles. This
strategy is based on a general phase transfer and separation mechanism occurring at the
interfaces of the liquid, solid, and solution phases present during the synthesis in aqueous
or organic systems at high temperature and pressure.22 Reduction under hydrothermal
Functional Materials Division, KTH, 2008 7
conditions has been used to prepare monodisperse nanoparticles, using metal salts,
ethylene glycol, sodium acetate, and polyethylene glycol. Typically, the reaction mixture
is stirred to form a clear solution, then sealed in a Teflon-lined stainless-steel autoclave,
heated to and maintained at temperatures as high as 200-300 °C for several hours (72 h).23
The control of nanoparticle formation, size and distribution can be achieved by choosing
the appropriate mixture of solvents and varying parameters such as temperature, pressure
and reaction time. This process requires high pressures and elevated temperature for a
prolong period of time, and the scale-up is not easy.9
Another way to prepare nanoparticles is to carry out the reaction in a microemulsion
system. A microemulsion is a thermodynamically stable isotropic dispersion of two
immiscible liquids, where the microdomain of either or both liquids is stabilized by an
interfacial film of surfactant molecules.24 Depending on relative concentrations, surfactant
molecules self-assemble into a variety of structures in the solvent mixture, such as
micelles, bilayers or vesicles. Most commonly used structures in nanoparticle synthesis
are micelles, either as reverse (water-in-oil) or normal (oil-in-water) form. In both cases,
the dispersed phase consists of monodisperse droplets in the size range of 2–100 nm.25
This dispersed phase provides a confined environment for the synthesis and formation of
nanoparticles.10
Using the microemulsion technique, metallic cobalt, cobalt/platinum alloys, gold-coated
cobalt/platinum nanoparticles and spinel ferrites have been synthesized.26,27 Several kinds
of surfactants have been applied for the formation of such “nano-reactors” in which the
nanoparticle synthesis takes place, e.g. AOT, 28 CTAB, 29 SDS, 30 and polyethoxylates
(Tween).31 The main advantage of emulsion methods is the fact that particle size can be
easily controlled by changing the size of micelles and that the “nano-reactors” are isolated
from each other, limiting the particle growth.
Magnetic nanoparticles have been prepared also by thermal decomposition methods,
initially used for the synthesis of high-quality semiconductor nanocrystals and oxides.32,33
This process takes place in non-aqueous media at elevated temperatures. Several types of
magnetic nanoparticles with control over size and shape can be prepared.13 Monodisperse
magnetic nanocrystals with small size can essentially be synthesized through the thermal
decomposition of organometallic compounds in high-boiling organic solvents containing
8
stabilizing surfactants.34 The organometallic precursors include metal acetylacetonates,
[M(acac)n], (M=Fe, Mn, Co, Ni, Cr; n=2 or 3, acac=acetylacetonate), metal cupferronates
[MxCupx] (M=metal ion; Cup=N-nitrosophenylhydroxylamine, C6H5N(NO)O-), or
carbonyls.35 Fatty acids, oleic acid, oleylamine and hexadecylamine are often used as
surfactants.36 The ratios of the starting reagents including organometallic compounds,
surfactant, and solvent are decisive parameters for the control of the size and morphology
of magnetic nanoparticles prepared by this method. The reaction temperature, reaction
time, as well as aging period may also be crucial for the precise control of size and
morphology.37
Different types of magnetic nanoparticles, such as Co, Pt, and their alloys, have been
prepared by this method using different surfactants and capping agents.38 Iron oxide
nanoparticles can also be prepared via decomposition of iron pentacarbonyl or through
one-step decomposition of iron pentacarbonyl in the presence of a mild oxidant.39 In order
to avoid the use of highly toxic compounds in this synthetic route, a novel strategy has
been proposed based on the fact that the key intermediate during this process is the iron
oleate complex. This revolutionary idea leads to advanced synthesis procedure that
involves first the decomposition of the iron oleate complex to form the seeds that
subsequently grow into the nanoparticles. Further advanced methods were proposed for
synthesis of iron oxide starting from iron oleate, stereate, and laureate as precursors.40 A
large scale synthesis route for iron oxide nanoparticles based on decomposition of iron
oleate complex has been reported.13 Iron oxide particles with very a narrow size
distribution, controlled morphology and high crystallinity can be obtained via thermal
decomposition routes that have great potential for large scale production of high quality
magnetic nanoparticles.
1.3.1.2 Magnetic properties of magnetic nanoparticles
The classification of bulk materials with respect to magnetic properties is usually based
on their magnetic susceptibility (χ), defined as the ratio between the induced
magnetization (Μ) and the applied magnetic field (Η). In diamagnetic materials, magnetic
dipoles are oriented antiparallel to H resulting in small negative susceptibility (-10-6 to -
Functional Materials Division, KTH, 2008 9
10-3) and the magnetization is not retained when the external field is removed.
Paramagnetic materials possess permanent magnetic dipoles that align parallel to H and
the susceptibility is positive and temperature dependent according to Curie law (at high
temperatures).
For ferro-, ferri- and antiferromagnetic materials collective magnetism is crucial due to
the fact that permanent magnetic dipoles show exchange interactions. This leads to a
definition of a critical temperature (Curie temperature for ferromagnetic materials and
Néel temperature for antiferromagnets) below which a spontaneous magnetization is
exhibited.
The susceptibilities of these materials depend on their atomic structures, temperature,
and the external field H. 41 In bulk materials and large magnetic particles there is a
multidomain structure, where regions of uniform magnetization are separated by domain
walls. If the particle size is decreased, there is a critical volume below which it costs more
energy to create a domain wall than to support the external magnetostatic energy (applied
field) of the single-domain state. Below this critical size, typically in the order of tens of
nanometers, materials that exhibit collective magnetism become a single magnetic domain.
This is observed for magnetic nanoparticles, and in particular for iron oxide systems
developed for bio-medical applications. For spherical magnetite particle the critical
diameter has been determined to be ca 120 nm.42 A single-domain particle is uniformly
magnetized with all the spins aligned in the same direction. The magnetization can be
reversed by spin rotation since there are no domain walls to move. This is the reason for
the very high coercivity observed in small nanoparticles.9
Magnetic single-domain nanoparticles possess another important property, the
anisotropy energy, which refers to the preference of the magnetization to lie along
particular directions (with respect to the crystallographic directions) within the
nanoparticles. These directions minimize the magnetic energy and are called anisotropy
directions or easy axes. The magnetic energy of a nanoparticle increases with the tilt angle
between the magnetization vector and the easy directions, as shown in Figure 1.1.
10
Figure 1.1 Evolution of the magnetic energy with the tilt angle between the easy axis and the magnetization direction.43
The anisotropy energy, represented as the variation of the amplitude of this curve, is the
product of the crystal volume times the anisotropy constant. The anisotropy energy is a
function of the tilt angle and the following expression is commonly used:
E = KV sin2θ (1.1)
where K is the effective uniaxial magnetocrystalline anisotropy constant per unit volume,
θ is the angle between the magnetization direction and the easy axis of the particle, and V
is the volume of the particle. The anisotropy energy is dependent on several contributions,
such as bulk magnetocrystalline anisotropy, shape of the crystal, anisotropy constant, and
dipolar interaction between neighboring nanoparticles.43
In the case of nanoparticles with an average diameter in the range of few tens of
nanometers, the anisotropy energy becomes comparable with the thermal energy kBT
where kB is the Boltzmann constant and T the absolute temperature.
According to Boltzmann distribution:
∫=
20
)sin())(-(exp
)sin())(-(exp )( π
θθθ
θθθ
θθd
TkE
dTk
E
df
B
B (1.2)
it is possible to calculate the probability f between angle θ and θθ d+ . Two different
situations can occur:
In the first case: kBT << KV: )(f θ is large around 0=θ . The magnetic moment is fixed
along the easy direction of magnetization. This means that the thermal energy is not high
enough to overcome the energy barrier KV that separates the two energetically equivalent
Functional Materials Division, KTH, 2008 11
easy directions of magnetization. Nanoparticles that exhibit this condition are called
thermally blocked particles, and their magnetic moment is blocked along a specific
crystallographic direction (easy axis).
In the second case: kBT > KV: where the thermal energy, is high enough to move the
magnetic moments away from the easy axis and the magnetization is easily flipped. In this
situation the system behaves like a paramagnet, instead of atomic magnetic moments,
there is now a giant (super) moment inside each nanoparticle. This phenomenon is called
superparamagnetism, a term coined by Bean and Livingston.44
For superparamagnetic nanoparticles, the magnetization evolution with the external
magnetic field is proportional to the Langevin function that takes into account the
Boltzman distribution of the energy level corresponding to the possible orientations of the
particle magnetization moment. This function is commonly used to fit experimental
magnetization curves of nanoparticles and to determine the size of the crystals and its
specific magnetization. The characteristic features of superparamagnetic nanoparticles are
their response to a magnetic field, where there are no coercivity field, no remanent
magnetization and very high field saturation of the magnetization.43
A typical feature of superparamagnetic nanoparticles is the Néel relaxation time, τN, that
is the time constant of the return to equilibrium of the magnetization after perturbation. It
can be expressed as:
)(exp0 TkKV
BN ττ = (1.3)
where τ0 is the pre-exponential factor called characteristic relaxation time (dependent on
anisotropy energy), kB is the Boltzmann constant and T is the absolute temperature. This
time is characteristic of the internal relaxation of the magnetization of nanoparticles.
According to equation (1.3), the volume of nanoparticle and the temperature are two
critical parameters affecting the Néel relaxation time and therefore the superparamagnetic
or thermally blocked behavior of the system.
There is a size limit that divides the internal relaxation occurring in single domains in
two different time regimes, slow and fast relaxation compared to a characteristic
measurement time of the methods used to investigate the magnetic behavior of the system.
The superparamagnetic nanoparticles relax rapidly and do not show any magnetic
12
remanence or coercivity, while the thermally blocked single domains have longer
relaxation time and show both remanent magnetization and coercivity.45
A blocking volume VB and a blocking temperature TB can be defined44 in order to
distinguish the superparamagnetic single domains from the thermally blocked ones:
⎟⎟⎠
⎞⎜⎜⎝
⎛=
0
explnτt
KTkV B
B (1.4)
⎟⎟⎠
⎞⎜⎜⎝
⎛=
0
explnτt
k
KVT
B
B (1.5)
where texp is the characteristic experiment time of the measuring technique being used. It
is important to notice that the blocking limit is dependent of the experiment time, and it is
possible to obtain different values of VB and TB for different techniques. For instance,
vibrating sample magnetometer (VSM) has a characteristic measurement time of 10 s,
while superconducting quantum interference device (SQUID) has a measuring time of ca
10-2 s and Mössbauer spectroscopy 10-8 s.46
When nanoparticles are suspended in a liquid, the Brownian motion of such
nanoparticles plays an important role. This physical phenomenon occurs due to
continuous collision between particles and the thermally activated liquid molecules, and
the effects are more pronounced for small particles in the sub-micron range. The
Brownian motion mechanism can be arbitrarily divided into a translational (linear) motion
and a rotational motion. The linear movement can be measured by dynamic light
scattering or photon correlation spectroscopy and can be described by the Stokes-Einstein
equation45:
23
TqkD
B
HL
πητ = (1.6)
where η is the viscosity of the liquid, DH the hydrodynamic diameter of the particle and q
is the light scattering wave number. The rotational motion can be described by a
characteristic rotational diffusion time, according to:
TkD
B
HB 2
3πητ = (1.7)
Functional Materials Division, KTH, 2008 13
It is possible to determine the rotational Brownian relaxation of magnetic nanoparticles
through magnetic measurements of the frequency dependent complex susceptibility.47
For magnetic nanoparticles suspended in a liquid, an effective relaxation time τeff related
to magnetic measurements can be defined as follow:
BNeff τττ111
+= (1.8)
Both the Néel and the Brownian relaxation processes are contributing to this effective
time, while the translational motion time is neglected because it does not affect magnetic
measurements. Figure 1.2 represent the different time constants related to the different
relaxation mechanism for nanoparticle in suspension as a function of their radius.
Figure 1.2 Time constants vs. particle size for magnetite particles.48
The plot illustrated in Figure 1.2 is given for magnetite nanoparticles at room
temperature. The blocking radius is estimated as ~ 7 nm.48 There are in principle two
ways to measure the relaxation phenomena: either in the time domain or in the frequency
domain.
Dynamic measurements of the magnetic susceptibility can be used to measure the
relaxation time of nanoparticle suspension and estimate if they undergo Brownian of Néel
relaxation.45 The AC-susceptibility measurement determines the resonance frequency of
the nanoparticles suspended in the liquid.
14
The magnetization of a particle system in an alternating external magnetic field is given
by:
H)j(HM ''' χχχ −== (1.9)
where
( )( ) ∞+
∞ −+
−= χ
τπχχ
χ β10
21 fjf (1.10)
and M is the magnetization, H alternating (time dependent) external magnetic field,
χ frequency dependent complex magnetic susceptibility, τ is the characteristic relaxation
time for magnetic relaxation that particles undergo.
By measuring the complex susceptibility it is therefore possible to determine the
Brownian relaxation time and the mean hydrodynamic volume of the nanoparticles.
Functional Materials Division, KTH, 2008 15
1.4 Biomedical applications of nanoscale magnetic materials
Over time, the focus of nanotechnology research has gradually shifted from
nanomaterials and investigation of their physicochemical properties to the use of these
properties in several applications. One of the fields that can enormously benefit from the
advancement in nanotechnology is biomedical research. In particular, highly specific
medical interventions at the nanoscale for curing disease and repairing damaged tissues
such as bones, muscles or nerves are emerging as nanomedicine area.3
Nanomaterials have a great impact on biomedical research especially in the last few
years: superparamagnetic iron oxide nanoparticles as MRI contrast agent were studied and
today these are commercial products49. Quantum Dots were also developed recently and
are currently use in biology and medicine50. The great advantages of nanomaterials in the
biomedical research field lies in its ability to operate on the same small scale as all the
intimate biochemical functions involved in the growth, development and ageing of the
human body.51 Only in a few cases a particular nanostructured material was developed
completely for a specific biomedical application. More frequently, nanomaterials
discovered in the past are now further developed and applied in different biomedical
fields.3
Still there are a lot of challenges for the use of nanoparticles in medical applications.52
One of the main issues is certainly related to long-term safety of nanomaterials, both
developed for in vitro and in vivo applications. Not only toxicology tests have to be
developed specifically for nanomaterials, but also risk assessment and management have
to be defined.53,54
1.4.1 Biosensor applications
In the last few years huge efforts were directed towards the development of diagnostic
tools in order to improve the sensitivity of existing diagnostic techniques and to
considerably reduce the time and labor required for analysis. Many biosensors take hours
or even days and several successive steps and procedures are required to produce results,
16
so there is a clear need for devices that operate on a short timescale.55 Such devices could
have a major impact on the diagnosis of several diseases by allowing at-risk patients to
check tell-tale signs of proteins or other biomolecules by simply testing a small droplet of
blood or serum.56
A combination of magnetic nanoparticles and ultrasensitive magnetic field sensors is
nowadays showing a great potential as a perfect team to achieve these goals. In these
biosensors, the nanoparticles are coated or functionalized with chemical groups or entities
that will bind to the biomolecule that need to be detected. 57 In the case of sensors on a
substrate, these nanoparticle-biomolecule complexes then react with “probes” molecules
that are fixed onto the surface of the magnetic sensor. The presence of the magnetic
nanoparticles on the surface produces an output signal. In the case of label-free biosensors,
the nanoparticle-biomolecule complexes are directly detected by probing changes in
magnetic properties of the nanoparticles after the binding events. These kind of label-free
biosensors are extremely promising, especially for point of care applications, where the
assay should be simple, requiring no or minimum preparation. The possibility of analytes
detection directly in biological samples will lead to more economic, simple to use,
versatile and flexible sensors.58
A variety of diagnostic tests have been developed for the detection and quantification of
biological molecules, e.g. antibodies, in different biological fluids. Traditional
immunoassays depend on the use of radioactive, fluorescent or enzyme labeled-antibodies
as analytical tools to monitor biomolecular events.59 The enzyme-linked immunosorbent
assay (ELISA) is the most widely used for the detection of antibody-antigen
interactions60, both in routine diagnostics and research. These kinds of assays have a main
limitation due to the need of time consuming pre-treatment required for biological
samples preparation prior to analyses.61,62,63
Superparamagnetic iron oxide nanoparticles are used in several biomedical
applications64, including the quantification of biomolecular targets in cell lysates and
tissue extracts 65. They have also been used to detect larger biological entities, such as
bacteria, in solutions.66,67 In most cases, commercial beads containing magnetic multi-
cores with different surface layers have been used68, but these detection systems have
Functional Materials Division, KTH, 2008 17
poor sensitivity and limited detection range due to a wide bead and magnetic domain size
distribution.
To overcome these limitations, we applied a different strategy for sensitive detection of
biomolecules in biological fluids. The sensing principle is based on susceptibility
measurements in an alternating (AC) magnetic field of the Brownian relaxation of
functionalized magnetic nanoparticles. 69 AC susceptibility is an excellent detection
technique, since it is simple, direct, and can be carried out in a compact device equipped
with a simplified readout system. Recently, the detection of specific DNA strands after
rolling circle amplification with commercial magnetic beads has been carried out
measuring large changes in Brownian relaxation.70
1.4.2 Drug delivery systems
Recent research on biocompatible materials has lead to a great development of a specific
field of medical devices engineering: the controlled drug delivery systems (DDS). DDS
can be specifically designed to control the release rate and/or amount of therapeutic
agents that will allow desired effects on target sites. Controlled drug release can be
achieved by combination of carrier materials and active agents.21 There are a few classes
of biocompatible materials used as carrier matrix for DDS, and these include solid lipid
nanoparticles,71,72,73 inorganic materials74,75 spheres76 and hydrogel systems77 fabricated
from biodegradable polymers.
Figure 1.3 Controlled drug delivery versus immediate release with repeated administration78
Repeated administration
18
In engineering drug release systems, the most important function of drug carriers is
regulating the drug release rate. Reducing the frequency of drug intake enables patients to
comply with dosing instructions. Most of the drug contents tend to be released rapidly
after the administration, which may cause rapid increase of the drug concentration in the
body. Repeated drug administration might lead to periods of ineffectiveness and toxicity
during medical treatment (Figure 1.3).
Drug delivery systems can improve several crucial properties of “free” drugs, such as
solubility, in vivo stability, pharmacokinetics, and biodistribution, enhancing their
efficacy and reducing side effects of the therapeutic compounds.79 Thus, engineered DDS
can prevent and considerably reduce risks related to underdosing and overdosing of
therapeutic drugs in patients as well as decrease the risks of side effects.80
There are several mechanisms used in the recent years to control the release rate of a
drug. Most commonly, controlled DDS is generally the diffusion- and dissolution-based
release system applicable to the release of drugs intended for the circulation or the
localization on the site.81 Recently, other mechanisms were also studied and developed in
order to have a detailed and tuned release of active compound within specific tissues and
cells, leading to so-called stimuli responsive DDS.5 Cationic lipids are used to cover the
surface of nanoparticles and promote cellular uptake and thus drug delivery inside specific
cells.82
Mesoporous silica pores can also act as stimuli responsive DDS when the caps of the
pore are removed by thiols compounds. 83 pH-responsive nanomaterials provide an
alternate mechanism for release, relying on the acidic conditions inside tumor and
inflamed tissues, cellular compartments including endosomes and lysosomes.84 Towards
this scope, magnetic nanoparticles were encapsulated in thermosensitive polymers for
controlled triggering of drug release. 85 Other thermosensitive DDS were recently
developed as thermosensitive nanoparticles based on PNIPAAm, a polymer which
undergoes structural changes at a certain temperature corresponding to the LCST.86,87
Nanoparticles can also provide effective carriers for large biomolecules such as DNA,
RNA, or proteins, protecting these biological entities from degradation and transporting
them across the cell-membrane barrier. The success of “safe” delivery of these
Functional Materials Division, KTH, 2008 19
biomolecules provides access to gene therapy as well as protein-based therapeutic
approaches.5
Another strategy recently developed in the field of DDS is to engineer nanostructured
materials so that the release of drug would be triggered by the chemical environment.88
For example, microgel responsive to the concentration of glucose has been developed for
glucose-sensitive DDS.89 Hydrogel based on poly(aspartic acid) and poly(acrylic acid) are
demonstrated to be able to swell and shrink due to the change of salt concentration.90
Magnetic stimulation has also been used as activating mechanism for the release of
dopamine from nucleus accumbens shell of morphine-sensitized rats during abstinence.91
DC magnetic field has also been used to control the release of drug from an hydrogel
matrix in a “on-off” manner.92 More recently, hydrogel constructed with thermosensitive
polymer and magnetic NPs has been prepared and such system is of great promise in drug
delivery applications due to the dual stimuli-sensitivity.93 Hydrogel materials were also
reduced to nanoscale, developing “nanohydrogels” for drug delivery that can easily evade
the macrophage clearance with no opsonization or toxic effects.94
Still there is a need to improve the hydrogel systems to be able to have injectable
materials carrying a drug directly in the body without the need of surgical implantations.
It is advantageous to have a drug delivery system responsive to external signals, such as
magnetic field, so that the release rate could be carefully controlled to avoid underdosing
and overdosing of the therapeutic compounds. Part of this thesis deals with the
development of such novel ferrogel systems combing external stimuli response with the
possibility of injecting ferrogel in a liquid state. There are no reports in to-date literature
on such a system before.
1.4.3 Magnetic Resonance Imaging
Among a number of imaging techniques, such as optical imaging, ultrasound imaging,
positron emission tomography and X-ray tomography, Magnetic Resonance Imaging
(MRI) is one of the most powerful non-invasive imaging modalities utilized both in
biomedical research and clinical medicine today. 95 , 96 The current development of
magnetic nanomaterials, in particular nanoparticles, advances bio-imaging technologies in
20
terms of sensitivity, special resolution and other critical parameters.5 MRI imaging is
based on the property that hydrogen protons will align and process around an applied
magnetic field, B0. Upon application of a transverse radiofrequency (rf) pulse, these
protons are perturbed from B0. Then a relaxation phenomenon takes place whre these
protons return to their original state from the perturbed state. Two independent processes,
called longitudinal relaxation (T1-recovery) and transverse relaxation (T2-decay), can be
monitored to generate an MRI image. Local variation in relaxation, corresponding to
image contrast, arises from proton density as well as the chemical and physical nature of
the tissue under investigation.15
To obtain better images with well-defined mapping, contrast agents are utilized during
the imaging recording procedure. The main effect is to decrease relaxation times, either
T1 and/or T2, depending on the nature of the contrast agent used.97 Normally, gadolinium
and manganese chelates are clinically used to modify T1 relaxation98, producing brighter
images, while superparamagnetic iron oxide nanoparticles are used as T2 contrast agent,
giving a darker contrast in the tissue where they are accumulated.99
The effectiveness of a contrast agent can be described by its relaxivity, which is the
proportionality constant of the measured rate of relaxation, or R1 (1/T1) and R2 (1/T2),
over a range of contrast agent concentrations. 15,100
In the recent years, a lot of effort has been directed towards the development of
magnetic nanoparticles as MRI contrast agents. The most common strategy consist of
having iron oxide nanoparticles as magnetic core with tailored magnetic properties and
size distribution, and different surface functionalization to increase the stability of the
suspension in biological fluids and to target specific tissues of the body.97 Biocompatible
polymers, inorganic materials such as silica and gold, small pharmacophores such as
peptides, small organic ligands and proteins are the main classes of compounds used to
coat and functionalize the magnetic core of MRI contrast agent nanoparticles.43
To illustrate the wide interest of iron oxide nanoparticles in MRI imaging, a few
examples are reported here. Cancer research has received great benefits from MRI
techniques and magnetic nanoparticles have been extensively developed to improve the
detection, diagnosis and therapeutic management of solid tumors. Superparamagnetic iron
oxide nanoparticles (SPION) are currently used for clinical imaging of liver tumors and
Functional Materials Division, KTH, 2008 21
prostate, breast and colon cancers as well as for the delineation of brain tumor volumes
and boundaries. 101 Next generation of active targeting based on nanoparticles has a
potential to offer significantly improved tumor detection and localization by exploiting
the unique molecular signatures of these diseases.102,103 Other applications of magnetic
nanoparticles enhanced MRI are in the field of cardiovascular medicine, including
myocardial injury, atherosclerosis and other vascular diseases.15
Molecular imaging, defines as the non-invasive in vivo visual representation,
characterization, and quantification of biological processes at the cellular and molecular
levels, has also been greatly affected by nanoparticles development. For instance,
molecular imaging allows sensitive and specific monitoring of key molecular targets and
host responses associated with early events in carcinogenesis and other diseases.104
Targeting of the inflammatory endothelial tissues was successfully performed with
superparamagnetic contrast agent both in vitro and in vivo models of inflammation105
Another successful application is specific tracking of cells in vivo after loading them with
magnetic nanoparticles functionalized with peptides and transfection agents.43,106 Novel
applications of nanoparticles and MRI in molecular imaging are related to studies of cell
migration and trafficking, apoptosis detection and imaging of enzyme activities.107
1.4.4 Hyperthermia
In the numerous applications of nanomaterials in medicine, cancer treatments with
nanoparticles have received great attention instead of traditional chemical therapy108. In
the last few years, a lot of studies have been conducted on magnetic nanoparticles that
generate heat when an alternating magnetic field is applied. This phenomenon is called
hyperthermia and it is extremely dependent on the size distribution of nanoparticles as
well as their magnetic properties. 109 In most studies, superparamagnetic nanocrystals
suspensions are tested in order to check the ability of energy absorption from an
oscillating magnetic field and its conversion into heat. This property can be used in vivo to
increase the temperature of tumor tissue and to destroy the pathological cells by
hyperthermia, since tumor cells are more sensitive to temperature increase than healthy
22
ones.43 The main parameter determining the heating of the tissue is the specific absorption
rate (SAR), defined as the rate at which electromagnetic energy is absorbed by a unit mass
of a biological material. For magnetic nanoparticles with superparamagnetic properties,
the SAR is precisely determined by the volume ratio of nanoparticles in the tissue and was
theoretically explained.110
Recent strategies for hyperthermia treatment are focusing in delivering and
accumulating magnetic nanoparticles in specific tissue.43 This has been proved in vitro by
selective remote inactivation of cancer cells by an AC magnetic field and evaluation of
the feasibility and survival benefit of this new hyperthermia approach is in progress on
animals, and first clinical trials have been started recently. 111 Superparamagnetic
nanoparticles are seen as a very promising agent for hyperthermia treatments, especially
in the form of multifunctional drug delivery system, but this new field of application
requires great reproducibility, control of size and magnetic properties during the synthesis
of nanomaterials.43
1.4.5 Bio-manipulation
In the recent years, a lot of effort has been put in the field of manipulation and remote
control of specific cellular components in vitro, and more importantly, in vivo, giving
clinicians and scientists a powerful tool for investigating cell function and molecular
signaling pathways.112 Furthermore, microparticles and nanoparticles have been used in
the field of biotechnology for different applications, including protein separation and
purification, protein detection and analysis, DNA extraction and biocatalytic
transformations.113,114,115
Magnetic separation techniques have several advantages in comparison to traditional
separation procedures: the process is very simple and all steps of the purification can take
place in one test tube without expensive liquid chromatography systems.116 Magnetic
materials in nanoscale dimensions have been widely used for affinity isolation of
proteins117, for capture and detection of bacteria at low concentration118 and for separation
of proteins from biological samples119.
Functional Materials Division, KTH, 2008 23
Magnetic nanomaterials are useful tools for investigation of cell functions and molecular
signaling pathways, giving the possibility of probing ion channel activity, apoptosis
mechanisms, protein production and stress response. The actuation of magnetic particles
provides several advantages over other techniques for remote cell manipulation, such as
optical tweezers, nanoindentation and nanopatterned arrays. The main advantage is that
the process allows remote control of the nanoparticles at a distance, giving the possibility
of using this technique for future in-vivo applications.112 Magnetic nanomaterials, in
particular nanoparticles attached to membrane receptors, have been used since more than
a decade to investigate properties of the cytoplasm under an applied stress.120 Recently, by
using magnetic actuation to apply controlled forces on the cell membrane, in combination
with nanoparticles with different binding capabilities, biochemical pathways and ion-
channel kinetics have been studied.121
Tissue engineering and regenerative medicine are two main fields of research where the
magnetic manipulation of cells with nanomaterials is exploring new horizons. In addition
to biochemical signaling, mechanical cues provide important stimuli that promote the
production of functional tissue matrix from stem cells.122
Magnetic support-based separation and responsive hydrogel-based separation have also
been exploited in the bio-separation field, including applications as cell separation,123
enzyme immobilization,124 and protein purification125. The magnetic separation approach
has several advantages compared with conventional separation methods; it can be
performed directly in crude samples containing suspended solid materials without
pretreatment, and can easily isolate some biomolecules from aqueous systems in the
presence of magnetic gradient fields. The latter separation approach utilizes the unique
swelling properties of stimuli-responsive hydrogels to concentrate or separate dilute
biomolecule solutions.126
Recently, gene delivery and transfection were achieved both in vitro and in vivo with the
use of magnetic nanoparticles, opening the field of magnetofection: development of non-
viral transfection agents for gene delivery.127
24
1.4.6 Multifunctional nanoparticles in biomedicine
A common trend in the nanomedicine research field is to combine different
functionalities within a single nanoscale device, capable to achieve different tasks
simultaneously, such as targeting specific cells or compartments, drug delivery and
imaging.
The attachment of targeting agents to magnetic nanoparticles is used to increase the
specific accumulation of multifunctional nanoparticles within pathogenic tissues. These
structures not only deliver a drug, but also have a large surface area-to-volume ratios
allowing for a large number of therapeutic molecules to be incorporated or attached to
individual nanoparticles.15
In addition, the magnetic properties of the nanoparticles may be used for specific
targeting of these systems by external magnetic fields, to provide imaging modality for
monitoring therapeutic effects through MRI and/or to have alternative source of treatment
through magnetic fluid hyperthermia therapy.109
Multifunctional nanoparticles consisting of polymeric micelles encapsulating iron oxide
nanoparticles and fluorescent quantum dots are recently reported as MRI-fluorescent
ultrasensitive markers. 128 Mesoporous silica coated magnetic particles are also being
prepared and studied for drug delivery and simultaneous MRI imaging.129 Several other
types of multifunctional nanoparticles with the potential to integrate therapeutics and
diagnostics functions into a single nano-system have been recently developed130, both for
in-vitro studies and for in-vivo use. 131,132
Multifunctional nanoparticles are being developed more frequently for different
purposes, with the final goal of greatly improving diagnostics capabilities of several
diseases and developing specifically controlled in-situ therapy, personalized for particular
sickness and patient. The design of such multifunctional nanoparticles is the key issue in
order to achieve these goals, allowing nano-systems to be targeted to specific tissues, cells
and even intracellular compartment.133
Functional Materials Division, KTH, 2008 25
2 Experimental
2.1 Magnetic nanoparticles
2.1.1 Synthesis of magnetic nanoparticles
In this work, two different types of iron oxide nanoparticles were studied. In the first
case, thermally blocked nanoparticles were synthesized by controlled hydrolysis of
chelate iron alkoxide complexes in alcohol solutions at elevated temperature. With this
method thermally blocked iron oxide nanoparticles, just above the superparamagnetic
limit of ca 14 nm, were prepared. A typical synthetic procedure to produce nanoparticles
with a mean diameter of 19 nm is given as an example.
Ferrous and ferric chloride were dissolved in N-methyl diethanolamine (NMDEA) and
this solution was added to a solution of sodium hydroxide dissolved in NMDEA. The
reaction mixture was mechanically stirred at room temperature for 4 h, after which the
temperature was raised slowly to 210°C and maintained for 5 h. The suspension was then
cooled to room temperature and the solid product formed was isolated by centrifugation,
washed four times with a mixture of ethanol and ethyl acetate and finally re-dispersed in
water. The synthesis was carried out in a Schlenk flask under nitrogen atmosphere.
The second type of nanoparticles prepared consists of superparamagnetic magnetite
nanoparticles (SPION) to be used in the ferrogel material. This was prepared through the
high temperature decomposition method in an organic phase and subsequently transferred
to an aqueous solution with the use of PF127.100 A typical synthetic procedure to produce
12 nm iron oxide nanocrystals via decomposition of iron oleate complex is given: solution
of ferric chloride and sodium oleate in a mixed solvent (ethanol, deionized water and
hexane) was refluxed for 4 hours. The obtained waxy Fe oleate complex was separated
and dissolved in dioctyl ether. Then the mixture, in the presence of oleic acid, was heated
to reflux for 1.5 hours, and SPION were precipitated by ethanol. Finally, the SPION were
26
dispersed in hexane in the presence of 100 μL oleic acid and stored at 4 °C for further use
and characterizations.
2.1.2 Evolution study of magnetic nanoparticles
In order to study the formation and evolution of thermally blocked nanoparticles, a
similar synthesis procedures reported above were used. Typically, 397,6 mg of
FeCl2·4H2O and 1081,2 mg of FeCl3·6H2O were dissolved in 40 g of N-methyl
diethanolamine (NMDEA). This solution was added to 40 ml 0,4 M solution of NaOH in
NMDEA in a three-neck flask under N2 atmosphere and with mechanical stirring. After 3
h, the temperature of the reaction solution was increased up to 210 °C and it was kept
constant for 5 h and 40 min, allowing the reaction to proceed. In order to study the
kinetics of the particle growth, aliquots of 1 ml of reaction mixture were taken from the
reaction vessel at different time intervals during the synthesis. These samples were taken
using a glass pipette and the reaction was quenched by cooling the reaction mixture
rapidly to room temperature.
2.1.3 Surface modification of magnetic nanoparticles
Both types of magnetic nanoparticles included in this work were surface functionalized
for the different applications. In the first case, thermally blocked nanoparticles surface
was modified with specific molecules for the analyte to be detected. As a model system
for the biomolecule detection we selected an antigen / antibodies pair. To study the
specific detection of Brucella antibodies by functionalizing the nanoparticles with
lipopolysaccarides (LPS) as corresponding antigen. Lyophilized Brucella abortus LPS
(obtained from Department for Environment, Food and Rural Affairs (DERFA), United
Kingdom) was directly immobilized on pristine nanoparticle surface. The antigen was
attached to the particles by adsorption through Van der Waals interactions, as the surface
Functional Materials Division, KTH, 2008 27
of the particles is hydrophobic and thus there was no need for chemical coupling of
Brucella antigen.
The prepared thermally blocked nanoparticles have been exposed to high antigen
concentration (7 mg/mL), far above the critical micelle concentration (CMC) for the
antigen. A typical procedure is reported here: a small sample of suspension containing
nanoparticles (500 μL, [Fe]=4.1 mg/mL) is mixed with 100 μL of LPS solution (7 mg/mL
LPS in water) and sonicated by pulsed ultrasound cycles for 2×20 minutes.
The second type of nanoparticles, the superparamagnetic ones, has also been surface
modified to be able to transfer them in water and incorporate them in the hydrogel system.
We prepared PF127-coated water-soluble iron oxide nanoparticles by mixing a
concentrated suspension of as-synthesized SPIONs in hexane with an aqueous solution
containing an appropriate amount of PF127 followed by vigorous agitation for 30 min.
The obtained solution was dried under argon gas flow overnight, resulting in a fine
powder of POA@SPION, which is readily dispersible in water. The aqueous solution of
nanoparticles was then dialyzed against 1 L of deionized water for 48 h to remove
unbound PF127 polymers.
2.2 Ferrogel preparation
For the preparation of indomethacin (IMC) loaded ferrogel, an aqueous solution of
POA@SPION was well mixed with a PF127 solution containing an exact amount of IMC
at 4 °C to obtain a solution of PF127 (17.5%, w/v), SPION (0.5 mg Fe/mL) and IMC (1
mg/mL). The mixture was shaken to form a homogeneous suspension and the temperature
was increased to 35 °C during 10 minutes. Gelation occurred within a few minutes while
the system temperature increased. The ferrogel was cooled down again and the previous
two steps were cycled for three times. Upon gelation, the PF127 micelles and
POA@SPION organized into an ordered structure and the resulting ferrogel is formed.
28
2.3 Characterization
In order to investigate the nanoparticle morphology, size and size distribution
transmission electron microscopes were used. The analyses were performed with a JEOL
JEM-2000EX and a Philips CM200 microscope using an acceleration voltage of 200 kV.
The specimen for TEM imaging was prepared by dropping the suspension of
nanoparticles on a carbon-coated 200 mesh copper grid, followed by drying the sample
under ambient conditions. The particle size distribution of each sample was determined by
measuring the maximum dimension of at least 300 particles on TEM micrographs, and
fitting the results to probability distribution curves.
High resolution TEM analysis was also performed to study the crystal structure and
lattice orientation of the nanocrystals. In connection with TEM analysis, Link ISIS energy
dispersive x-ray (EDX) and GATAN® imaging filter (GIF) for electron energy loss
spectroscopy (EELS) and energy filtered TEM (EFTEM) were used to better understand
the chemical composition and crystal structure of the samples. Scanning electron
microscopy (SEM) was used to confirm the particle size distribution and morphology.
The specimen was prepared by centrifuging the nanoparticle suspension followed by
drying them into a vacuum oven at 70 °C overnight. SEM images were recorded at 10 kV
with a LEO 55 Ultra equipped with a field emission gun The particle size distribution was
also confirmed by photon correlation spectroscopy (PCS) measurements carried out with
a Malvern Zetasizer Nano on nanoparticle suspension.
The amount of magnetic nanoparticle in suspension was measured by taking a certain
volume of suspension and dissolving the particulate by adding hydrochloric acid to the
system. After that, the solution was diluted with water to a certain volume and the iron
concentration was then measured by atomic absorption spectroscopy (AAS - SpectrAA-
200 from Varian). The static magnetic measurements were carried out at room
temperature using a vibrating sample magnetometer (VSM-NUVO from MOLSPIN,
Newcastle Upon Tyne, UK) with a maximum applied field of 1 T.
The prepared ferrogel was also characterized by HRTEM analysis to study its structure.
The change in viscosity of the ferrogel at increasing temperature was observed using the
AR2000 rheometer (TA Instrument). For this measurement, 1.30 mL of the sample was
Functional Materials Division, KTH, 2008 29
pipetted on the sample holder and a conical titanium plate with 40 mm in diameter was
loaded on the sample. The gap between the sample holder and the titanium plate was
maintained at 800 µm for all the measurement performed. Maintaining a constant shear
force, the sample was heated at 1 °C min-1.
2.4 Magnetic relaxation measurements
In order to estimate the relaxation of thermally blocked magnetic nanoparticles, dynamic
susceptometry was used. The measurements were performed on different nanoparticle
suspensions (as-synthesized, after functionalization with antigen and after the antigen-
antibody reaction) at room temperature. The resonance frequency for thermally blocked
particles is usually between a few Hz to few kHz while the superparamagnetic particles
relax typically via Néel process in a MHz region. For our studies, a specific AC-
susceptometer was developed by researchers at Imego AB, Göteborg. This instrument
allows measuring the susceptibility at frequencies ranging from 10 Hz to 100 kHz. The
set-up is simple since it is based on an exciting coil (in which the sample is inserted) and a
measuring one, it operates at room temperature and it requires only a few seconds to
acquire the data.
Thermally blocked nanoparticles were measured suspended in water after the synthesis
and washing procedure. Furthermore, relaxation measurements were performed on LPS
functionalized nanoparticles before and after the addition of the corresponding antibody in
solution and in serum samples. The mean hydrodynamic volume of the nanoparticles was
also calculated from the AC-susceptibility. The experimental susceptibility data were
fitted to a Debye model including the particle size distribution134 according to:
0 ( )1 ( ) H H
eff H
f D dDj D
χχωτ
=+∫
(2.1) where χ is the complex magnetic susceptibility, f(DH) the hydrodynamic size distribution
of the particles, ω the angular frequency (2πf, where f is the excitation frequency), τeff the
30
effective relaxation time of the magnetic particles (that includes both the Néel and
Brownian relaxation process) and χ0 is the DC-susceptibility.
We proposed a method to detect biomolecules directly in biological solutions based on
magnetic susceptibility measurements. The sensing principle is based on the frequency
dependence of the real and imaginary parts of the magnetic susceptibility, which is
sensitive to the increase in the hydrodynamic volume of the magnetic nanoparticles before
and after binding biomolecules. The detection scheme of the assay, depicted in Figure 2.1,
is based on a few steps: binding of specific molecules for the analyte to be detected to the
surface of the pristine thermally blocked nanoparticles, mixing the functionalized
nanoparticles to a biological sample to analyze and measuring the magnetic relaxation of
the mixture. As a result of the binding of the analyte molecules to the functionalized
nanoparticles, the hydrodynamic size is increased, which can be determined by AC
susceptometer.
AC susceptometer
Magnetic nanoparticles + LPS + serum sample
Magnetic nanoparticles added to LPS
Serum sample
Figure 2.1 Schematic illustration of the biomolecule detection scheme. First thermally blocked nanoparticles with tailored properties are synthesized, then specific molecules for the analyte to be detected are bound to the surface of the pristine nanoparticles. After this, the functionalized nanoparticles are mixed to a biological sample to analyze and finally the magnetic relaxation of the mixture is measured. A frequency shift is observed for LPS functionalized nanoparticles compared to pristine ones due to an increase in hydrodynamic volume. A further increase in volume occurs when the analyte to detect binds to the functionalized nanoparticles.
To illustrate the versatility of the method, a model system for the biomolecule detection,
Brucella abortus antigens and antibodies, was used. Aliquots of nanoparticle suspension
were mixed either with 5μl of i) positive serum (containing anti-Brucella antibodies) from
infected cows, ii) negative serum (containing no anti-Brucella antibodies) from non-
infected animal, or a mixture containing iii) 5%, iv) 10% and v) 50% positive serum. As
Functional Materials Division, KTH, 2008 31
control sample MilliQ purified water containing NaCl, with a salt concentration
corresponding to the one in serum samples, was added to a sample with magnetic
nanoparticles. All the serum samples from animals were obtained from Department for
Environment, Food and Rural Affairs (DERFA), United Kingdom. AC-susceptibility
measurements were performed for each mixture directly after mixing.
In order to confirm the specificity of LPS-functionalized nanoparticles, further
experiments were performed with monoclonal antibodies specific to Brucella (mAb,
obtained from HyTest LtD, Finland) in buffer solution as well as with a control of non-
specific antibodies (PSA66, prostate specific antigen IgG antibodies, obtained from
CanAg Diagnostics, now Fujirebio Diagnostics, Sweden). As explained above, aliquots of
nanoparticle suspension were mixed with solution of mAb or solution of PSA66 and AC-
susceptibility was directly measured after mixing. To investigate the sensitivity of the
nanoparticle-based sensor, detection experiments were performed by diluting the original
positive serum solution 400 and 4000 times with MilliQ purified water.
2.5 Drug release rate measurements
To investigate the in vitro release of IMC drug from the ferrogel, a Franz diffusion cell
was used. The donor chamber was separated from the receptor chamber by a cellulose
membrane (MWCO: 1.2-1.4 kDa, Spectrum Inc., Breda, the Netherlands). The IMC
loaded ferrogel was pipetted into the donor chamber at 4 °C, and the temperature of the
solution was slowly increased to 37 °C. The receptor chamber was filled with 10 mL of
phosphate buffer saline (PBS, Medicago AB, Uppsala, Sweden). The release experiments
were carried out thermostatically at 37 °C throughout. A permanent magnet with field of
300 mT was used in order to examine the effect of MF on drug release rate. Two
comparative sets of experiments were undertaken; one without MF as a control and one
with the applied field. The IMC concentration was recorded by UV-Visible
spectrophotometer (Varian Cary 100 Bio, λ = 319 nm) equipped with an auto-sampler.
The data points were obtained every 5 minutes.
32
Functional Materials Division, KTH, 2008 33
3 Results and discussion
3.1 Magnetic nanoparticles
3.1.1 Morphology and structure studies
Two types of magnetic nanoparticles were prepared. In the first case, thermally blocked
magnetite nanoparticles for bio-sensing application were studied. In order to investigate
the particle size, morphology and crystalline structure, TEM and SEM were used. As-
prepared iron oxide nanoparticles, i.e. pristine nanoparticles, were suspended in water and
placed on a holey carbon coated copper grid for electron microscopy analysis.
Figure 3.1 (a) shows an SEM image taken from the dried suspension of the iron oxide
nanoparticles. High resolution transmission electron microscopy (HRTEM) shows that
most of the particles are single crystals (Figure 3.1 (b)). Figure 3.2 (a) present a TEM
bright field image of a representative formulation of the pristine iron oxide nanoparticles.
5 nm
(a) (b)
Figure 3.1 (a) SEM secondary electron image of pristine iron oxide nanoparticles. Specimens were prepared by applying a few drops of the nanoparticle suspension on a standard aluminum stub. (b) High
Resolution TEM image showing a single crystal nanoparticles imaged along the zone axis [ 110 ]. Inset shows the electron diffraction pattern confirming the magnetite structure.
The average diameter of the nanoparticles was estimated in 19.5 nm (standard deviation
4 nm, as represented in Figure 3.2) as calculated measuring 300 particles and this size is
34
just above the critical superparamagnetic limit of 12-15 nm.9 The particles have a
spherical morphology, and no preferential growth direction is noticed.
5 10 15 20 25 3002468
10121416
fract
ion
of p
artic
les
[%]
median diameter [nm]
(a) (b)
Figure 3.2 (a) TEM image showing as prepared nanoparticles, (b) Size distribution analysis of the pristine nanoparticles. The mean diameter and standard deviation of the size distribution were calculated measuring 300 nanoparticles from TEM images.
The magnetite structure (Fe3O4) was confirmed by selected area electron diffraction and
energy dispersive x-ray (EDX) analysis. In addition, x-ray powder diffraction analysis
also confirmed that the nanoparticles have the inverse spinel crystal structure, typical for
magnetite and maghemite. In order to estimate the hydrodynamic size of the iron oxide
nanoparticles, Photon Correlation Spectroscopy (PCS) studies were performed and results
are shown in Figure 3.3.
0
10
20
30
0.1 1 10 100 1000 10000
Volu
me
(%)
Size (d.nm)
Size Distribution by Volume
Figure 3.3 shows PCS measurements of a representative formulation of the pristine iron oxide nanoparticles.
Functional Materials Division, KTH, 2008 35
The results are well in agreement with the average particle size estimated from electron
microscopy analysis, confirming an average particle size of ca 20 nm with a very narrow
size distribution. The similarity between crystalline particle size (TEM analysis) and the
hydrodynamic size is consistent with the fact that no coating (i.e polymers) is present on
the nanoparticles that bear a slightly hydrophobic surface.
The second type of nanoparticles prepared is related to the drug delivery applications.
These nanoparticles, prepared by thermal decomposition of iron-oleate, have also been
characterized by TEM in order to confirm the particle size and morphology. A
representative TEM image shows that SPION in tetrahydrofuran are highly monodisperse
with as average particle diameter of 10.6 ± 0.5 nm (Figure 3.4).
Figure 3.4 TEM image of SPION prepared by thermal decomposition of iron-leate complex. A drop of particle suspension was placed and dried on a carbon-Formvar-coated 200 mesh copper grid.
SPION present a very narrow size distribution and their size is below the
superparamagnetic limit for magnetite. Most of the particles have a spherical morphology
and XRD data confirm the inverse spinel structure typical of magnetite and maghemite.
3.1.2 Evolution study
In order to better understand the formation and evolution of thermally blocked
nanoparticles, high resolution transmission electron microscopy (HRTEM) and
crystallographic analysis were performed on samples taken from the reaction mixture
36
during synthesis. Figure 3.5 shows an overview of the particles together with the
corresponding size distributions at different reaction times whereas the mean particle size
data are summarized in Table 1.
(a)
(b)
(c) Figure 3.5 TEM micrographs and the corresponding particle size distributions (particle number distribution) of magnetite nanoparticles after (a) 90 min, (b) 190 min and (c) 340 min (final sample) reaction time. The mean particle diameter is 3.6 nm in (a), 10.8 nm in (b) and 16.7 nm in (c). The particle size distribution of each sample was determined by measuring the maximum dimension of at least 300 particles from randomly chosen areas, and fitting the results to probability distribution curves
Functional Materials Division, KTH, 2008 37
Table 1. Synthesis details and particle properties.
Reaction time Temperature (˚C) Crystalline size (nm) Best particle size distribution fit
30 min 145 3.5±0.9 lognormal
90 min 185 3.6±1 lognormal
190 min 215.6 10.8±4.2 lognormal
250 min 214.8 12.3±5.6 lognormal
310 min 215.1 12.9±3.7 normal
340 min 215.2 16.7±3.5 normal
From the data reported, it is possible to follow the formation of such nanoparticles.
Small nuclei with a mean diameter of 3.5 nm and a narrow size distribution had formed
already after 30 min and at this stage the particle size distribution could be modelled by a
lognormal distribution. No main changes occur to the nanoparticle during the next 60
minutes of reaction (Figure 3.5 a)
After 190 min reaction time, however, the maximum reaction temperature is reached
and a significant increase in particle size is recorded. The mean size is now 11 nm, and
the lognormal distribution (Figure 3.5 b) show a tail extending towards larger particle
diameters. Particles are increasing in size maintaining a spherical morphology until the
end of the reaction process and a final mean size of ca 16.7 nm with a standard deviation
of 3.5 nm (21%) is measured. A normal size distribution now gives the best fitting (Figure
3.5 c). To understand the crystalline structure of the prepared particles, lattice parameters
obtained from diffraction patterns by TEM were measured. Energy Dispersive X-ray
analysis showed a composition close to that expected for stoichiometric magnetite. The
fine structure in the electron energy loss spectra showed the characteristic peak shape of
magnetite. Further investigation based on HRTEM images of the nanoparticle formation
and crystallographic structure evolution can be found in the appended paper 2.
38
3.1.3 Magnetic study
The magnetic properties of both types of iron oxide nanoparticles prepared were studied
with different techniques. For the first type, nanoparticles for biosensor application were
magnetically characterized by static and dynamic magnetic measurements.
These analyses carried out on solutions of nanoparticles suspended in MilliQ purified
water. Static measurements performed using VSM at room temperature, are presented in
Figure 3.6.
-300
-200
-100
0
100
200
300
-0.8 -0.4 0 0.4 0.8
Mag
netiz
atio
n [A
/m]
Field B [T]
-300-200-100
0100200300
-0.10 -0.05 0.00 0.05 0.10
Figure 3.6 Magnetization versus applied field curves of pristine magnetic particle suspension in water at room temperature in two field ranges, ± 0.7 T and ± 0.1 T (the inset figure) measured using VSM.
The magnetization versus applied field curves show a sharp decrease of the
magnetization at low fields and magnetization saturates at moderate fields (about 0.4 T).
The low field magnetic susceptibility (the initial susceptibility) of nanoparticles
suspension is high compared to commercial multi core particles. This, together with the
fact that the magnetization of the nanoparticle system saturates at moderate fields, is
characteristic of the single core nature of the particles and the size of the magnetic core
(high particle magnetic moment).
Functional Materials Division, KTH, 2008 39
To study the formation and evolution of magnetite nanoparticles, static magnetic
measurements were carried out on particles immobilized within a polymeric matrix where
the particles’ translation and rotation are inhibited. Under such conditions, the internal
single-domain relaxation, i.e. Néel relaxation, can be distinguished from Brownian
relaxation. In Figure 3.7 the magnetic measurements of particle ensembles after different
reaction times (190 min and 340 min (final sample)) are shown.
-120
-60
0
60
120
-0.15 -0.1 -0.05 0 0.05 0.1 0.15
Reaction time 190 minReaction time 340 min (final sample)
M (A
/m)
B (T)
×2
-80
-40
0
40
80
-0.01 -0.005 0 0.005 0.01
Reaction time 190 minReaction time 340 min (final sample)
M (A
/m)
B (T)
×2
Figure 3.7 Hysteresis loops in two field ranges for the particle system at two different reaction times, 190 min and 340 min, corresponding to mean particle diameters of 10.8 nm and 16.7 nm respectively. The particles are immobilized. i.e particle rotation and translation are inhibited. Only the final sample show hysteresis effects with remanence and coercivity. The magnetization values of the sample collected at 190 min reaction time are multiplied by a factor 2 for clarity.
As can be seen from Figure 3.7, the hysteresis curve for the particles formed after 190
min shows a clear superparamagnetic behaviour with no magnetic remanence and
coercivity present. As the reaction time increases (340 min) the particle size increases and
particles reach sizes larger than the superparamagnetic limit. These particles are thermally
blocked and show both magnetic remanence and coercivity in static magnetic
measurements when the particles are immobilized.
Dynamic magnetic measurements were performed using especially developed by
ImegoAC susceptometer that allows measurements of magnetic properties at much higher
frequencies than commercially available systems. It was necessary to develop a system
working over a wide frequency range because the small size of the nanoparticles used in
this study give Brownian relaxation frequencies around several tens of kHz. From the
40
measurements and the fitting procedure it is possible to calculate the hydrodynamic size
distribution of the nanoparticle system. The experimental data and the results of the fitting
are shown in Figure 3.8
0.000.010.020.030.040.050.060.070.08
10 100 1000 10000 100000
Com
plex
sus
cept
ibilit
y
Frequency [Hz]
a)
b)
Figure 3.8 AC susceptibility measurements in the range 1-250 kHz for pristine iron oxide nanoparticles. Curves a) and b) give the real and imaginary parts of the magnetic susceptibility for pristine iron oxide nanoparticles, respectively. The solid lines are obtained by fitting the data points.
Figure 3.8 shows the real (curve a) and imaginary (curve b) parts of the frequency-
dependent complex magnetization for the pristine iron oxide nanoparticles. The imaginary
part of the complex susceptibility, has a maximum at about 50 kHz for the native
nanoparticles suspended in MilliQ purified water, is due to the Brownian relaxation. From
the result of the data fitting we can determine a median diameter of the particles of about
20 nm with a size distribution width of 8 nm, which is in a good agreement with the
results from TEM data. Photon correlation spectroscopy (PCS) data also confirm the size
of the pristine nanoparticles. The magnetic, hydrodynamic and crystalline sizes are quite
similar due to the fact that the prepared nanoparticles are highly crystalline and have a
hydrophobic surface that reduces the absorption of water molecules. ‘
Functional Materials Division, KTH, 2008 41
3.1.4 Modification of the surface of nanoparticles
For the detection of biomolecules, the thermally blocked nanoparticles were
functionalized with molecules specific for binding to the analyte to be detected. Brucella
abortus antigens and antibodies were chosen as a model compound to demonstrate the use
of thermally blocked nanoparticles for biosensor applications. The surface
functionalization of nanoparticles with Brucella abortus Lipopolysaccharide was studied
by AC-susceptibility measurements as well as by PCS.
0.000.010.020.030.040.050.060.070.08
10 100 1000 10000 100000
Com
plex
sus
cept
ibilit
y
Frequency [Hz]
a) b)c) d)
Figure 3.9 AC susceptibility measurements in the range 1-250 kHz for pristine iron oxide nanoparticles and Lipopolysaccharide (LPS) functionalized nanoparticles. Curves a) and b) give the real and imaginary parts of the magnetic susceptibility for pristine iron oxide nanoparticles, respectively. Curves c) and d) give the real and imaginary parts of the magnetic susceptibility data obtained for LPS bound-particles, respectively. A very large frequency shift is observed for LPS particles indicating a large increase in hydrodynamic volume due to LPS particles binding.
The change of AC susceptibility of the nanoparticles after LPS functionalization (Figure
3.9) shows that LPS-functionalized nanoparticles exhibit a frequency maximum at about
20 Hz, which is considerably lower than the maximum observed for pristine nanoparticles
without the LPS (about 50 kHz). This dramatic shift in frequency for the maximum in the
imaginary part of the susceptibility indicates that the hydrodynamic diameters of the LPS-
42
functionalized nanoparticles increases more than ten times as compared with that of the
pristine nanoparticles (from 20 nm to ∼260 nm).
0
10
20
0.1 1 10 100 1000 10000
Volu
me
(%)
Size (d.nm)
Size Distribution by Volume
Figure 3.10 PCS measurements of iron oxide nanoparticles suspension after functionalization with LPS. The measurements also indicate that the particle size distribution is monomodal and there is no significant amount of pristine nanoparticles in the suspension.
The hydrodynamic size of the nanoparticles determined by AC susceptometry is in
agreement with the measurements done using photon correlation spectroscopy.
For the functionalization of SPION for drug delivery applications, it was already
demonstrated that these nanoparticles are covered by a hierarchical layer composed of
PF127 and oleic acid. The PEO segments of PF127 endow SPION with hydrophilicity.100
The resulting water-soluble SPION were characterized by VSM (as shown previously in
Chapter 3.1.3)
3.1.5 Detection of biomolecules
As explained in chapter 2.4, a method for the detection of biomolecules was developed
based on the increase in hydrodynamic size of thermally blocked nanoparticles after
biding reaction of biomolecules. Brucella abortus antigens and antibodies were chosen as
model compounds. The detection method is based on the change in magnetic response of
the LPS-functionalized nanoparticles as a result of the increase of their size which is
significantly different for particles not bound to anti-Brucella antibodies (ABA). The
Functional Materials Division, KTH, 2008 43
detailed procedure for the biomolecule sensing experiment is already reported in chapter
2.4. The magnetic susceptibility results are summarized in Figure 3.11.
0 20 40 60 80 100
260
280
300
320
340
360
380
Serum Control
Med
ian
diam
eter
[nm
]
Amount of positive serum % Figure 3.11 Hydrodynamic median diameter of LPS functionalized nanoparticles derived from magnetic susceptibility measurements versus amount of positive serum. Iron oxide nanoparticles, after LPS treatment, bind anti-Brucella antibodies contained in positive serum, resulting in an increase of their hydrodynamic volume. Repeated measurements on each samples showed virtually no spread. Error bars represent the standard deviation. The dash-line only represents the trend.
From the AC susceptibility data, there is no noticeable increase in median particle
diameter upon mixing LPS-functionalized nanoparticles suspension with negative serum.
When LPS-functionalized nanoparticles are added to positive serum, a large increase in
hydrodynamic diameter is obtained. When LPS-functionalized nanoparticles are exposed
to solutions with increasing positive serum concentrations (5%, 10% and 50%), the
hydrodynamic sizes increase accordingly.
This indicates that only antibodies specific to the LPS Brucella antigen bind to the
nanoparticles giving us the possibility to distinguish between infected and non-infected
animals. “Negative serum” refers to solutions that does not contain any Brucella
antibodies and indeed does not result in any change of nanoparticle size. However, there
might be a slight difference in total protein and antibody concentration because the serum
samples are obtained from different animals.
44
Specificity of LPS-functionalized nanoparticles was confirmed by further experiments
with monoclonal antibodies specific to Brucella as well as with a control of non-specific
antibodies (PSA66). The summary of median particle size changes obtained by AC-
susceptibility measurements are reported in Figure 3.12.
0.00 0.05 0.10 0.15 0.20
280
300
320
340
360
380
400
mAb PSA66M
edia
n di
amet
er [n
m]
mAb [mg/mL] Figure 3.12 Hydrodynamic median diameter of LPS-functionalized nanoparticles derived from magnetic susceptibility measurements. Iron oxide nanoparticles, after LPS treatment, bind anti-Brucella monoclonal antibodies mAb but do not bind non-specific PSA66 antibodies. Repeated measurements on each samples showed virtually no spread. Error bars represent the standard deviation. The dash-line only represents the trend.
The exposure of LPS-functionalized nanoparticles to the anti-Brucella antibody mAb
produces a significant shift in the maximum of the imaginary magnetic susceptibility. In
comparison, the non-specific PSA66 antibodies used as a negative control, did not give
any significant shift (see Figure 3.12). This is reflected in a large increase in
hydrodynamic size of the LPS-functionalized nanoparticles exposed to mAb antibodies as
compared with the exposure of LPS-functionalized nanoparticles to PSA66 antibodies.
The data confirm the high specificity of the LPS-functionalized nanoparticles that are
capable of sensing specifically anti-Brucella specific monoclonal antibody and not other
kind of antibodies, i.e. PSA66.
To investigate the sensitivity of the nanoparticle-based sensor, detection experiments
were performed by diluting the original positive serum solution 400 and 4000 times with
MilliQ purified water. The data didn’t show any trend in the case of 4000 times dilution.
Functional Materials Division, KTH, 2008 45
This indicates that this nanoparticle based biosensor system is capable of detecting anti-
Brucella specific antibodies in serum with concentrations close to 0.05 μg/ml of Brucella
antibodies. The upper limit of detection (dynamic range) depends on the total number of
particles in the suspension. If we consider the lowest particle concentration that we can
detect (1 mg Fe/ml), we estimate the upper limit of detection in 0.2 mg/mL. This detection
system is therefore capable to distinguish between infected and non-infected animals
using small serum samples even at very low antibodies concentration.
3.2 Ferrogel
3.2.1 Structure study
The ferrogel system was characterized by TEM analysis and rheological measurements.
Upon gelation, the PF127 micelles organized into an ordered structure shown by TEM
(Figure 3.13). Because the specimen was not stained, only the micelles with SPION
encapsulated are visible.
The size of an individual SPION contained in the micelles is around 13 nm which is
very similar to the diameter of empty micelles formed with concentrated PF127 solutions
(> 20%). 135 The encapsulation of SPION inside the micelle seems not significantly
perturb micellar morphology or size.
Figure 3.13 TEM image of ferrogel dropped on the same type of grid at 4 °C and allowed to dry at 37 °C.
46
The TEM observation (Figure 3.13) shows that SPION loaded ferrogel constitutes of
micelles arranged in cubic liquid crystalline structures. Each micelle comprises a
hydrophobic core (PPO) in which the drug molecules are solubilized, and a hydrophilic
corona (PEO) acting as the scaffold of the ferrogel. SPION are encapsulated inside of
some micelles during the phase transfer of nanoparticles.
The rheological response as a function of temperature was examined on samples
containing 17.5% (w/v) PF127, and is reported in the text of the appended paper 3. It is
shown that, at low temperature the “sol” behaves as viscous liquid, while at high
temperature the behavior becomes elastic
The critical temperature at which the PF127 solution forms a gel depends on the
concentration of the polymer, e.g. 32.5 °C for the f containing 17.5% (w/v) PF127. The
solution remains fluidic at room temperature, while when the solution is warmed up to
human body temperature, gelation occurs and the solution becomes a solid gel. The
fluidity is thereafter restored when the gel is cooled down. In addition, the ferrogel
remains stable for few months when stored above the gelation temperature.
3.2.2 Magnetic study
The magnetic properties of both SPION and ferrogel were examined at room
temperature by using a vibrating sample magnetometer. Data are reported in Figure 3.14.
-1000 -500 0 500 1000-60
-40
-20
0
20
40
60
-100 -50 0 50 100
-30
-15
0
15
30
Mag
netiz
atio
n (A
m2 kg
-1)
Applied field (mT)
(c)
Figure 3.14 Room temperature magnetization curves of SPION (-■-) and ferrogel (-○-).
Functional Materials Division, KTH, 2008 47
Magnetization measurements have shown that iron oxide nanoparticles retain
superparamagnetism after incorporation into the ferrogel, indicating that the magnetic
moments of particles can easily reorient upon removing the magnetic field. Saturated
magnetizations (Ms) of SPION and ferrogel are 54.1 and 39.4 Am2kg-1 respectively,
calculated considering the iron oxide content.
The lower value of Ms of the ferrogel may be attributed to the formation of the magnetic
dead layer on the surface of SPION after transfer to aqueous phase. Initial magnetic
susceptibility χ0 (measured by the slope at the M-H curve origin) for ferrogel is lower
than that of SPION, indicating less effective coupling between particles incorporated in
ferrogel caused by increased first-neighbor distance.
3.2.3 Drug release
For in vitro release test, indomethacin (IMC) has been selected as a model drug.
Practically, IMC has a very low solubility in water136, whereas in the ferrogel containing
17.5% (w/v) PF127 the concentration of IMC can be significantly increased to 1 mg/mL.
The release profiles of IMC from ferrogel are shown in Figure 3.15 both in the absence
and presence of a magnetic field.
0 2000 4000 60000
20
40
60
80
100
Cum
ulat
ive
rele
ase
(%)
Time (minute)
t1/2= 3195 min
t1/2= 1500 min
(b)
(a)
Figure 3.15 Release profiles of IMC from ferrogel in PBS (pH 7.4) at 37 °C: (a) without magnetic field; (b) with applied magnetic field.
48
For the release test without exposure to magnetic field, the drug is continuously released
up to 95% in 7000 minutes. The drug release solely depends on the diffusion of IMC
molecules from hydrophobic poly(propylene oxide) cores through water channels in the
ferrogel. The release profile is a quasi-linear curve and no significant initial burst has been
observed. As the particles are superparamagnetic, the magnetic moments of SPION are
randomly oriented within the ferrogel in the absence of magnetic field, giving a zero
magnetization throughout the gel. The release of IMC can take place through the diffusion
in the aqueous channels and the dissolution of PF127 gel.
Drug release test has also been conducted when placing a permanent magnet adjacent to
the ferrogel (5 mm away from the gel, magnetic field is ca. 300 mT). The concentration of
released IMC increases much faster in the presence of external magnetic field. The release
half-time (t1/2) is reduced to 1500 minutes from 3195 minutes when measured without
applied field.
Functional Materials Division, KTH, 2008 49
4 Conclusions
In this work, we developed tailored nanoscale magnetic nanoparticles for advanced bio-
applications, such as the detection of biomolecules directly in biological samples and a
novel injectable drug delivery system.
For a sensitive and selective detection of biomolecules, magnetite nanoparticles with
specific magnetic properties were developed and used in a novel detection scheme that is
fast, easy to use and sensitive. Thermally blocked magnetic nanoparticles are the key
component in this detection method. The prepared nanoparticles showed excellent
magnetic properties for this application, as well as a narrow size distribution and good
crystallinity. The sensing system was able to detect the changes of the magnetic properties
of the nanoparticles as indication of the presence of functional molecules on its surface.
Such functionalized system was capable of sensing biomolecules, such as Brucella
antibodies, directly in biological samples, which can be used for distinguishing between
infected and non-infected animals. In-depth studies of the formation of such nanoparticles
were performed by correlating electron microscopy analysis with magnetic data at
different stages during the synthesis procedure. The developed thermally blocked
magnetic nanoparticles are the key point of the detection system, providing very good
sensitivity and a versatile platform for bio-conjugation and detection of different
biomolecules.
Beside the work on diagnostic tools, a novel drug delivery system based on magnetically
enhanced release of drug was prepared and studied. The system is based on the integration
of superparamagnetic iron oxide nanoparticles and Pluronic F127 gels. Indomethacin, a
hydrophobic drug, was loaded in the ferrogel and the characteristic sol to gel
transformation property was studied. Drug release tests showed that it is possible to
enhance the release rate by applying an external magnetic field. This, together with the
fact that the sol to gel transformation temperature can be tailored to be at body
temperature (36 °C), makes it a very interesting material as injectable drug delivery
system, compared to traditional gels that have to be surgically implanted.
50
Future work
In the future, more experiments related to other biomolecules detection will be
undertaken, as well as other magnetic detection systems will be tested with the developed
thermally blocked nanoparticles. Further work will be focused on loading the ferrogel
with other drugs and with other types of magnetic and fluorescent nanoparticles. In vitro
and possibly in vivo studies of the cytotoxicity and body response will be performed with
the developed ferrogel.
Besides this, a lot of effort will be focus on developing other magnetic nanostructures,
such as different nanoparticles and single-element or multi-segment nanowires, for
various applications.
The synthesis of multifunctional nanoparticles will also be undertaken, aiming at the
preparation of polymeric nanostructures that will carry therapeutic compounds, magnetic
nanoparticles for MRI visualization, fluorescent probes for microscopy studies and
targeting molecules to achieve specific uptake.
Functional Materials Division, KTH, 2008 51
Acknowledgements
First and foremost, I would like to thank my supervisor, Prof. Mamoun Muhammed,
for introducing me to the world of scientific research, and in particular to the field of
nanotechnology and materials science. I have also to thank him for the opportunity he
gave me to join the Functional Materials Division. His ideas and kindness are always a
strong support during my studies.
I want to thank Dr. Muhammet Toprak for his great help from research to everyday life,
especially for his kind help in revising this thesis. I wish him a great success in the
scientific career. Thousands of thanks to Jian Qin, Sylvan, for his tremendous help in
planning experiments, lab work and fruitful discussions. I wish him all the best for his
PhD and his future as bright scientist and as great dad! Thousands of thanks also to Dr.
Shanghua Li, Peter, for his help, discussion and support during this time. I wish him as
well all the best for his future career, together with his family. Many thanks to Carmen,
Sverker, Fei, Abhi, Stefano, Salam and all other members in Functional Materials
Division for their priceless friendship. I wish all the best to all of them, both for their
research and for their life. I would like to acknowledge the fruitful collaboration and
discussions with Karolina Petersson, Dr. Anatol Krozer and Dr. Christer Johansson from
Imego research institute in Göteborg, and Stefan Gustafsson and Prof. Eva Olsson from
the Department of Applied Physics, Chalmers University of Technology.
Special thanks to all the friends, Italians and non-Italians, which I met here in
Stockholm for the unforgettable time we had and still have together. It will be too long to
mention all of them.
I would like to deeply thank my parents, my brother and my grandma for their endless
support. Grazie e mille per tutto quello che avete fatto e continuate a fare per me.
Finally, I have to thank the most important person in my life, my wonderful fiancée
Olesja, for her endless love, support and strength, even in difficult times. Without her all
this would not be possible and my life would not be the same. Thanks for brightening up
my days and being always next to me.
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References 1 Cai, W.; Chen, X. Small 2007, 11, 1840 2 X. Gao, Y. Cui, R. M. Levenson, L. W. K. Ching, S. Nie, Nat. Biotechnol. 2004, 22, 969 3 Y. Xia, Nat. Mater. 2008, 7, 758 4 Sun, S.; Murray, C. B.; Weller, D.; Folks, L.; Moser, A. Science 2000, 287, 1989 5 De, M.; Chosh, P. S.; Rotello, V. M., Adv. Mater. 2008, 20, 1 6 McCarthy, J. R.; Weissleder , R. Adv. Drug Del. Rev. 2008, 60 (11), 1241 7 Wirth, S.; von Monlnar, S., Handbook of Advanced Magnetic Materials: Fabrication
and magnetic properties of nanometer-scale particle arrays - Springer: New York, 2006;
Vol.1, 294 8 Mishra, S. R.; Dubenko, I.; Losby, J.; Ghosh, K.; Khan, M.; Ali, N., J. of Nanosci.
Nanotech. 2005, 5, 2076 9 Lu, A.-H.; Salabas, E. L.; Schüth, F. Angew. Chem. Int. Ed. 2007, 46 (8), 1222 10 Lin, X. M.; Samia, A. C. S. J. Magn. Magn. Mater. 2006, 305, 100 11 S. Sun, H. Zeng, J. Am. Chem. Soc. 2002, 124, 8204 12 V. F. Puntes, K. M. Krishan, A. P. Alivisatos, Science 2001, 291, 2115 13 J. Park, K. An, Y. Hwang, J.-G. Park, H.-J. Noh, J.-Y. Kim, J.-H. Park, N.-M. Hwang,
T. Hyeon, Nat. Mater. 2004, 3, 891 14 E. V. Shevchenko, D. V. Talapin, A. L. Rogach, A. Kornowski, M. Haase, H. Weller, J.
Am. Chem. Soc. 2002, 124, 11480 15 Sun, C. Lee, J. S. H.; Zhang, M. Adv. Drug Del. Rev. 2008, 60, 1252 16 Duguet, E.; Vasseur, S.; Mornet, S.; Devoisselle, J.-M., Nanomedicine 2006, 1, 157 17 Reiss, G.; Huetten, A., Nat. Mater. 2005, 4, 725 18 Wan, S.; Huang, J.; Yan, H.; Liu, K., J. Mater. Chem. 2006, 16, 298 19 Baldi, G.; Bonacchi, D.; Franchini, M. C.; Gentili, D.; Lorenzi, G.; Ricci, A.; Ravagli,
C. Langmuir, 2007, 23 (7), 4026 20 Zhang, K.; Zhang, X.; Chen, H.; Chen, X.; Zheng, L.; Zhang, J.; Yang, B., Langmuir
2004, 20, 11312
54
21 Qin, J. Nanoparticles for Multifunctional Drug Delivery Systems– Licentiate thesis, The
Royal Institute of Technology, Stockholm, 2007 22 X. Wang, J. Zhuang, Q. Peng, Y Li, Nature 2005, 437, 121 23 H. Deng, X. Li,Q. Peng, X.Wang, J. Chen, Y. Li, Angew. Chem. Int. Ed. 2005, 44, 2782 24 D. Langevin, Annu. Rev. Phys. Chem. 1992, 43, 341. 25 Capek, I., Adv. Colloid Interface Sci. 2004, 110, 49 26 Cushing, B. L.; Kolesnichenko, V. L.; O'Connor, C. J., Chem. Rev. 2004, 104, 3893 27 Landfester, K., Ann. Rev. Mater. Res. 2006, 36, 23 28 Li, M.; Schnablegger, H.; Mann, S., Nature 1999, 402, 393 29 Husein, M. M.; Rodil, E.; Vera, J. H., Langmuir 2006, 22, 2264 30 Ghosh, H. N.; Adhikari, S., Langmuir 2001, 17, 4129 31 Uota, M.; Arakawa, H.; Kitamura, N.; Yoshimura, T.; Tanaka, J.; Kijima, T., Langmuir
2005, 21, 4724 32 C. B. Murray, D. J. Norris, M. G. Bawendi, J. Am. Chem. Soc. 1993, 115, 8706. 33 X. Peng, J. Wickham, A. P. Alivisatos, J. Am. Chem. Soc. 1998,120, 5343 34 Huber, D. L., Small 2005, 1, 482 35 F. X. Redl, C. T. Black, G. C. Papaefthymiou, R. L. Sandstrom, M. Yin, H. Zeng, C. B.
Murray, S. P. O‘Brien, J. Am. Chem. Soc. 2004, 126, 14583 36 Y. Li, M. Afzaal, P. O’Brien, J. Mater. Chem. 2006, 16, 2175 37 Dumestre, F.; Chaudret, B.; Amiens, C.; Renaud, P.; Fejes, P., Science 2004, 303, 821 38 Dumestre, F.; Chaudret, B.; Amiens, C.; Fromen, M.-C.; Casanove, M.-J.; Renaud, P.;
Zurcher, P., Angew. Chem. Int. Ed. 2002, 41, 4286 39 Hyeon, T.; Lee, C. S.; Park, J.; Chung, Y.; Na, H. B., J. Am. Chem. Soc. 2001, 123,
12798 40 Jana, N. R.; Chen, Y.; Peng, X., Chem. Mater. 2004, 16, 3931 41 Getzlaff, M., Fundamentals of Magnetism - Springer: New York, 2008; 3 42 X. Batlle, A. Labarta, J. Phys. D 2002, 35, R15 43 Laurent, S.; Forge, D.; Port, M.; Roch, A.; Robic, C.; Elst, L. V.; Muller, R. N. Chem.
Rev. 2008, 108, 2064 44 Bean, C. P.; Livingston, J. D. J. Appl. Phys. 1959, 30, 120S
Functional Materials Division, KTH, 2008 55
45 Prieto-Astalan, A. Brownian Relaxation Measurements of Magnetic Nanoparticles:
Towards the Development of a Novel Biosensor System – Licentiate thesis, Chalmers
University of Technology, Göteborg, 2007 46 Johansson, C., Magnetic studies of magnetic liquids – Doctoral thesis, Chalmers
University of Technology and University of Göteborg, 1993 47 Fannin, P. C.; Scaife, B. K. P.; Charles, S. W. J. Magn. Magn. Mater. 1987, 65, 279 48 Rosensweig, R. E. J. Magn. Magn. Mater. 2002, 252, 370 49 Lee J. H-; Huh, Y. M.; Jun,J.; Seo, J,; Jang, J.; Song, H. T.; Kim, S.; Cho, E.J.; Yoon, H.
G.; Suh, J. S.; Cheon J. Nat. Med. 2007, 13, 95 50 Anker, J. N.; Hall, W. P.; Lyandres, O.; Shah, N. C.; Zhao, J,; Van Duyne R. P. Nat.
Mater. 2008, 7, 442 51 Minchin, R Nat. Nanotech. 2008, 3, 12 52 Sanhai, W. R.; Sakamoto, J. H.; Canady, R.; Ferrari, M. Nat. Nanotech. 2008, 3, 242 53 Jiang, W.; Kim, B. Y. S.; Rutka, J. T.; Chan, W. C. W. Nat. Nanotech. 2008, 3, 145 54 Service, F. R. Science 2008, 321, 1036 55 A. Sandhu, Nat. Nanotech. 2007, 2, 758 56 Yager, P.; Edwards, T.; Fu, E.; Helton, K.; Nelson, K.; Tam, R. M.; Weigl, H. B.;
Nature 2006, 442, 412 57 Nam, J. M., Stoeva, S. I. & Mirkin, C. A. J. Am. Chem. Soc. 2004, 126, 5932 58 Klostranec, J. M.; Xiang, Q.; Farcas, G. A.; Lee, J. A.; Rhee, A.; Lafferty, E. I.; Perrault,
S. D.; Kain, K. C.; Chan, W. C.; Nano Lett. 2007, 9 (7), 2812 59 Perez, J. M.; O'Loughlin, L. J. T.; Högemann, D.; Weissleder, R. Nat Biotech 2002, 20,
816 60Roque, A. C. A.; Lowe, C. R.; Taipa, M. A. Biotechnol. Prog 2004, 20, 639 61 Nielsen, K.; Smith, P.; Yu, W.L.; Elmgren, C.; Nicoletti, P.; Perez, B.; Bermudez, R.;
Renteria, T. Veterinary Microbiology 2007, 124, 173 62 Rosi, N. L.; Mirkin C. A. Chem. Rev. 2005, 105 (4), 1547 63 Ferrari, M. Nat. Rev. Cancer 2005, 5 (3), 161 64 Perez, J. M. Nat. Nanotech. 2007, 2, 535-536.
56
65 Perez, J. M.; Simeone, F. J.; Saeki, Y.; Josephson, L.; Weissleder, R. J. Am. Chem. Soc.
2003, 125 (34), 10192
66 Kaittanis, C.; Naser, S. A.; Perez, J. M. Nano Letters 2007, 7 (2), 380 67 Gu, H.; Xu, K.; Xu, C.; Xu, B. Chem. Commun. 2006, 9, 941 68 Astalan, A. P.; Ahrentorp, F.; Johansson, C.; Larsson, K.; Krozer, A. Biosensors &
Bioelectronics 2004, 19, 945 69 Minchole, A.; Astalan, A. P.; Johansson, C.; Larsson, K.; Krozer, A. Method and
arrangement for analyzing substances, 2003, PCT WO 03/019188 A1. 70Strömberg, M.; Göransson, J.; Gunnarsson, K.; Nilsson, M.; Svedlindh, P.; Strømme, M.
Nano Lett. 2008, 8 (3), 816 71 Pojarova, M.; Ananchenko, G. S.; Udachin, K. A.; Daroszewska, M.; Perret, F.;
Coleman, A. W.; Ripmeester, J. A., Chem. Mater. 2006, 18, 5817 72 Zhang, N.; Ping, Q.; Huang, G.; Xu, W.; Cheng, Y.; Han, X., Int. J. Pharm. 2006, 327,
153 73 Luo, Y.; Chen, D.; Ren, L.; Zhao, X.; Qin, J., J. Control. Release 2006, 114, 53 74 Chen, J.-F.; Ding, H.-M.; Wang, J.-X.; Shao, L., Biomaterials 2004, 25, 723 75 Bhakta, G.; Mitra, S.; Maitra, A., Biomaterials 2005, 26, 2157 76 Cavallaro, G.; Maniscalco, L.; Licciardi, M.; Giammona, G., Macromol. Biosci. 2004, 4,
1028 77 Uhrich, K. E.; Cannizzaro, S. M.; Langer, R. S.; Shakesheff, K. M., Chem. Rev. 1999,
99, 3181 78 Jo, Y. S. Study on Multifunctional Smart Drug Delivery Systems. The Royal Institute
of Technology, Stockholm, 2004 79 Allen, T. M.; Cullis, P. R. Science 2004, 303, 1818 80 Fahmy, T. M.; Fong, P. M.; Goyal, A.; Saltzman, W. M., Nanotoday 2005, 8, 18 81 Jo, Y. S.; Kim, M.-C.; Kim, D. K.; Kim, C.-J.; Jeong, Y.-K.; Kim, K.-J.; Muhammed,
M., Nanotechnology 2005, 15, 1186 82 Hong, R.; Han, G.; Fernandez, J. M.; Kim, B. J.; Forbes, N. S.; Rotello, V. M., J. Am.
Chem. Soc. 2006, 128, 1078
Functional Materials Division, KTH, 2008 57
83 Giri, S.; Trewyn, B. G; Stellmaker, M. P.; Lin, V. S. Y., Angew. Chem. Int. Ed. 2005,
44, 5038 84 Sawant, R. M.; Hurley, J. P.; Salmaso, S.; Kale, A.; Tolcheva, E.; Levchenko, T. S.;
Torchilin, V. P., Bioconjugate Chem. 2006, 17, 943 85 Polizzi, M. A.; Stasko, N. A.; Schoenfisch, M. H., Langmuir 2007, 23, 4938 86 Vihola, H.; Laukkanen, A.; Valtola, L.; Tenhu, H.; Hirvonen, J., Biomaterials 2005, 26,
3055 87 Qin, J.; Jo, Ihm, J. E. Kim, D. K.; Muhammed, M. Langmuir 2005, 21, 9346 88 Schmidt, M. A. Colloid. Polym. Sci. 2007, 285, 953 89 Zhang, Y.; Guan, Y.; Zhou, S., Biomacromolecules 2006, 7, 3196 90 Zhao, Y.; Kang, J.; Tan, T., Polymer 2006, 47, 7702 91 Erhardt, A.; Sillaber, I.; Welt, T.; Müller, M. B.; Singewald, N.; Keck, M. E.,
Neuropsychopharmacology 2004, 29, 2074 92 Liu, T.-Y.; Hu, S.-H.; Liu, T.-Y.; Liu, D.-M.; Chen, S.-Y., Langmuir 2006, 22, 5974 93 Frimpong, R. A.; Fraser, S.; Hilt, J. Z., J. Biomed. Mater. Res. 2007, 80A, 1 94 Gao, D.; Xu, H.; Philbert, M. A.; Kopelman, R. Nano Lett. 2008; ASAP Article; DOI:
10.1021/nl8017274 95R. Weissleder, Nat. Rev. Cancer 2002, 2, 11 96 D. J. A. Margolis, J. M. Hoffman, R. J. Herfkens, R. B. Jeffrey, A. Quon, S. S. Gambhir,
Radiology 2007, 245, 333 97 Jun, Y.; Lee, J. H.; Cheon J. Angew. Chem., Int. Ed.2008, 47, 5122 98 Z. P. Xu, N. D. Kurniawan, P. F. Bartlett, G. Q. Lu, Chem. Eur. J. 2007, 13, 2824 99 Kim, D. K.; Mikhaylova, M.; Wang, F. H.; Kehr, J.; Bjelke, B.; Zhang, Y.; Tsakalakos,
T.; Muhammed, M., Chem. Mater. 2003, 15, 4343 100 Qin, J.; Laurent, S.; Jo, Y. S.; Roch, A.; Mikhaylova, M.; Muller, R. N.; Muhammed,
M. Adv. Mater., 2007, 19, 1874 101 Corot, C.; Robert, P.; Idee, J. M.; Port, M. Adv. Drug Del. Rev. 2006, 58, 1471 102 Koo, Y. E.; Reddy, G. R.; Bhojani, M.; Schneider, R.; Philbert, M. A.; Rehemtulla, A.
Ross, B. D.; Kopelman, R. Adv. Drug Del. Rev. 2006, 58, 1556
58
103 Sun, C.; Veiseh, O.; Gunn, J.; Fang, C.; Hansen, S.; Lee, D.; Sze, R.; Ellenborge, R. G.;
Olson, J.; Zhang, M. Small 2008, 4, 372 104 Weissleder, R.; Science 2006, 312, 1168 105 Boutry, S.; Laurent, S.; Vander Elst, L.; Muller, R. N. Contrast Med.Mol. Imaging
2006, 1 (1), 15 106 Arbab, A. S.; Yocum, G. T.; Kalish, H.; Jordan, E. K.; Anderson, S. A.; Khakoo, A. Y.;
Read, E. J.; Frank, J. A. Blood 2004, 104 (4), 1217 107 Sosnovik, D. E.; Weissleder, R.; Current Opinion in Biotechnology 2007, 18, 4 108 Byrappa, K.; Ohara, S.; Adschiri, T. Adv. Drug Del. Rev. 2008, 60, 299 109 Mornet, S.; Vasseur, S.; Grasset, F.; Duguet, E. J. Mater. Chem. 2004, 14, 2161 110 Rosensweig, R. E. J. Magn. Magn. Mater. 2002, 252, 370 111 Wust, P.; Gneveckow, U.; Johannsen, M.; Bohmer, D.; Henkel, T.; Kahmann, F.;
Sehouli, J.; Felix, R.; Ricke, J.; Jordan, A. Int.J. Hyperthermia 2006, 22, 673. 112 Dobson, J. Nat. Nanotech. 2008, 3, 139 113 Herdt, A. R.; Kim, B.; Taton, T. A. Bioconjugate Chem., 2007, 18 (1), 183 114 Bornscheuer, U. T. Angew. Chem., Int. Ed.2003, 42, 3336 115 You, C.-C., Verma, A., and Rotello, V. M. Soft Matter 2006, 2, 190 116 Safarik, I.; Safarikova, M. Biomagn. Res. Techol. 2004, 2 (1), 7 117 Xu, C.; Xu, K.; Gu, H.; Zheng, R.; Liu, H.; Zhang, X.; Guo, Z.; Xu, B. J. Am. Chem.
Soc. 2004, 126, 9938 118 Gu, H.; Ho, P. L.; Tsang, K. W. T.; Wang, L.; Xu, B. J. Am. Chem.Soc. 2003, 125,
15702 119 Bucak, S.; Jones, D. A.; Laibinis, P. E.; Hatton, T. A. Biotechnol.Prog. 2003, 19, 477 120 Pankhurst, Q. A.; Connoly, J.; Jones, S. K. ; Dobson, J. J. Phys. D 2003, 36, R167 121 Hughes, S.; McBain, S.; Dobson, J.; El Haj, A. J. J. R. Soc. Interface 2008, 5, 855 122 Sura, H. S., Magnay J., Dobson J. & El Haj A. J. Tissue Eng. 2007, 13, 1699 123 Y. Y. Liang, L. M. Zhang, W. Li, R. F. Chen, Colloid Polym. Sci. 2007, 285, 1193 124 Y. Y. Liang, L. M. Zhang, Biomacromolecules 2007, 8, 1480 125 N. W. Turner, C. W. Jeans, K. R. Brain, C. J. Allender, V. Hlady, D. W. Britt,
Biotechnol. Prog. 2006, 22, 1474
Functional Materials Division, KTH, 2008 59
126 Liang, Y. Y.; Zhang, L. M.; Jian, W.; Li, W. Chem. Phys. Chem. 2007, 8, 2367 127 Dobson, J. Gene Therapy 2006, 13, 283 128 Park, J. H.; von Maltzahn, G.; Ruoslahti, E.; Bhatia, S. N.; Sailor, M. J. Angew. Chem.
Int. Ed. 2008, 47, 7284 129 Lin, Y.-S.; Wu, S.-H.; Hung, Y.; Chou, Y.-H.; Chang, C.; Lin, M.-L.; Tsai, C.-P.; Mou,
C.-Y., Chem. Mater. 2006, 18, 5170 130 Xu, C.; Xie, J.; Ho, D.; Wang, C.; Kohler, N.; Walsh, J. E. G; Morgan, R.; Chin, Y. E.;
Sun, S. Angew. Chem. Int. Ed. 2008, 47, 173 131 Choi, J. H.; Nguyen, F.T.; Barone, P.W.; Heller, D. A.; Moll, A. E.; Patel, D.; Boppart,
S. A.; Strano, M. S. Nano Lett. 2007, 7, 861 132 Kim, B.-S.; Taton, T. A. Langmuir 2007, 23, 2198 133 Gratton, S. E. A.; Ropp, A. P.; Pohlhaus, P. D.; Luft, J. C.; Madden, V. J.; Napier, M.
E.; DeSimone, J. M. PNAS 2008, 105 (33), 11613 134 Astalan, A.P.; Jonasson, C.; Petersson, K.; Blomgren J.; Ilver, D.; Krozer, A.;
Johansson, C. J. Magn. Magn. Mat. 2007, 311, 166 135 D. Attwood, J. H. Collett, C. J. Tait, Int. J. Pharm. 1985, 26, 25 136 J. Djordjevic, B. Michniak, K. E. Uhrich, AAPS PharmSci. 2003, 5, Article 26