ORTHOGONAL PARTICLE CHARACTERIZATION TECHNIQUES …...Archimedes –High Resolution SVP...
Transcript of ORTHOGONAL PARTICLE CHARACTERIZATION TECHNIQUES …...Archimedes –High Resolution SVP...
© Malvern Panalytical 2017
ORTHOGONAL PARTICLE CHARACTERIZATION TECHNIQUES FOR BIO-APPLICATIONS:
AN INTRODUCTION TO DLS (DYNAMIC LIGHT SCATTERING), NTA (NANOPARTICLE
TRACKING ANALYSIS) AND RMM (RESONANT MASS MEASUREMENT) -
Dr. Markus Epe
Field Application Scientist, Europe
+49 171 330 6151
© Malvern Panalytical 2017 15 May 20182 Title of the presentation
AGENDA
Application Examples
Technology Overview
What is Resonant Mass
Measurement (RMM) and where
can I use it?
Orthogonal technologies
Protein Aggregation Pathways
and Subvisible Particles
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PROTEIN
AGGREGATION
PATHWAYS
AND
SUBVISIBLE
PARTICLES
15 May 20183Title of the presentation
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Protein Aggregation
SubVis / Vis
Particles
Particle CountsProtein Structure
Hydrodynamic Size
Adapted from: Chi et al., 2003. Pharm. Res. 20:1325
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Protein Aggregation
SubVis / Vis
Particles
Particle CountsProtein Structure
Hydrodynamic Size
Adapted from: Chi et al., 2003. Pharm. Res. 20:1325
© Malvern Panalytical 2017
PROTEIN AGGREGATES – WHY SHOULD ANYONE CARE?
• Immunogenicity• Aggregates may result in an unwanted immune response in the patient’s body
• Loss of efficacy
• Other adverse effects
• Loss of efficacy• Unfolded proteins do not have the same therapeutic effect
• Enumeration of particulates is REQUIRED by the US FDA and other regulatory
agencies• USP<787>, USP<788>, USP<790>
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SUBVISIBLE PARTICLES
• Subvisible particle counts provide the most sensitive detection of protein
aggregation.
• Formation of particles (nano & micro) is an early step on aggregation
pathway.
• Even trace levels of particles can impact subsequent stability of protein
solutions; Particles beget particles.
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THE PARTICLE PROFILE
• Extrinsic Particle: not part of the formulation, packaging or
assembly process. True contamination unexpected in drug
product (hair, clothing fragments, insects, etc.)
• Intrinsic Particle: non protein particle that is associated with
the container/closure (including delivery systems such as
silicone oil), formulation components, manufacturing or
packaging process.
• Inherent Particle: particles that originate from the drug
product (protein therapeutic itself or formulation components).
Narhi et al. 2015 JPS. 1899-1908
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MANY FACTORS IMPACT PARTICLE PROFILES
• Manufacturing process• Pumps
• Tubing
• Disposable technology
• Configuration• Concentration
• Fill Volumes
• Container/closure/devices
• Formulation/excipients
• Shipping and handling
• Particle detection methods
• .....
“The presence of visible particulate matter is one of the top 10 reasons for the recall of parenteral products”Analysis of Aggregates and Particles in Protein
Pharmaceuticals. Jiskoot and Mahler, 2012
So far in 2016, FDA has recalled 9 products for particular content
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Particle Characterization Activities
Nanoparticles (1 nm – 1 µm)• SEC-MALS
• Taylor-Dispersion Analysis (Viscosizer TD)
• Nanosight (NTA)
• RMM (Archimedes)
• Validation of product specific methods
• Product/Process Characterization
• Biosimilarity/Comparability
• Stability testing
• Forced degradation testing
• Formulation testing
• Batch release testing
• Orthogonal USP <788>, USP <787> testing
• Raw Material ID
• Customized Image analysis
• Classification of particles (silicone oil droplets
vs. protein, etc.)
• Raman chemical ID of particles (subvisible and
visible)
Subvisible Particles (1 µm – 100 µm)• Archimedes (≤ 6 µm)
• Light Obscuration (HIAC)
• Micro-Flow Imaging (MFI 5200)
• Raman Microscopy (Morphologi G4-ID)
Visible Particles (≥ 100 µm)• Visual Inspection
• Raman Microscopy
Orthogonal Technologies
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Particle Characterization Activities
Nanoparticles (1 nm – 1 µm)• SEC-MALS
• Taylor-Dispersion Analysis (Viscosizer TD)
• Nanosight (NTA)
• RMM (Archimedes)
• Validation of product specific methods
• Product/Process Characterization
• Biosimilarity/Comparability
• Stability testing
• Forced degradation testing
• Formulation testing
• Batch release testing
• Orthogonal USP <788>, USP <787> testing
• Raw Material ID
• Customized Image analysis
• Classification of particles (silicone oil droplets
vs. protein, etc.)
• Raman chemical ID of particles (subvisible and
visible)
Subvisible Particles (1 µm – 100 µm)• Archimedes (≤ 6 µm)
• Light Obscuration (HIAC)
• Micro-Flow Imaging (MFI 5200)
• Raman Microscopy (Morphologi G4-ID)
Visible Particles (≥ 100 µm)• Visual Inspection
• Raman Microscopy
Orthogonal Technologies
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RESONANT
MASS
MEASUREMENT
(ARCHIMEDES)
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• „Weights“ particles in a fluid and differenciates the „heavier“ from the „lighter“ ones e.g. Protein,
Nanomaterials from Oil or lipids
• Gives you size, weight and number of particles in solution
RMM – why using this…..
› DLS can give you size range but only qualitative information
› RMM offers Quantitative information about stability of proteins which is
appreciated by authorities
› RMM helps to characterize proteins and define stability parametres
› To have a look into coating procedures of Nanomaterials
› Look into ultrafine bubbles (<1µm): recently published as having
influence on stability for proteins in solution
RMM – what it does..
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OVERVIEW SIZE RANGES FOR ANALYTICS
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Archimedes – High Resolution SVP Characterisation
› Resonant Mass Measurement
› High resolution particle counts /
concentration
› Protein aggregates: 200 nm – 5 µm
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Archimedes : Distinguishing Protein and Silicone
›Syringes and other containers
commonly introduce oil droplets into
therapeutic protein formulations
›Presence of oil droplets can
compromise measurements of the
quantity of protein aggregates
By measuring buoyant mass, Archimedes can distinguishbetween particles are negatively buoyant, and those that arepositively buoyant.
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APPLICATIONEXAMPLES
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Archimedes: Characterising Protein Aggregates
›Assess impact of stress of
SubVis particles
› Impact of shear stress on
protein aggregates
›Obtain particle size
distribution profile
›Compare different stress
conditions – Force Deg.
Control
Shear-stress
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1994: Betaseron, IFN-β 1b (Bayer HealthCare)
1996: Lyophilized Avonex, IFN-β 1a (Biogen Idec)
2002: Rebif, IFN-β 1a (Merck Serono) - Liquid version of Avonex
2009: Extavia (Novartis), IFN-β 1b
Case Study – Comparison of IFN-β Products for Multiple Sclerosis
From: Barnard et al, J. Pharm. Sci. (2013): Vol.102, 915-928
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From: Barnard et al, J. Pharm. Sci. (2013): Vol.102, 915-928
Total Particles
ARCHIMEDES : DISTINGUISHING PROTEIN AND SILICONE
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Archimedes : Distinguishing Protein and Silicone
From: Barnard et al, J. Pharm. Sci. (2013): Vol.102, 915-928
Total Particles Protein
Oil
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ARCHIMEDES APPLICATIONS: COATING
M. R. Nejadnik, W. Jiskoot. 2014. “Measurement of the Average Mass of Proteins Adsorbed to Nanoparticle by
Using a Suspended Microchannel Resonator” Pharmaceutics, Drug Delivery and Pharmaceutical Technology
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RESONANT MASS MEASUREMENT: APPLICATION SUMMARY
Determining total
counts of protein-
aggregates / particles
and in a specific size
range (200 nm-5µm)
Determining surface
coating on particles by
“weighting” them: weight
difference is due to
coating applied
Determining count
depending on positive
and negative buoyoncy:
look into stabilization of
solutions
Counting particles– analyzing mixtures of aggregates
(50 nm – 5 µm range)
Looking into Nanobubble/ ultra
fine bubble-Applications:
determine bubbles from other
Materials in solution
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SUMMARY ARCHIMEDES
• Gives quantitative data about protein aggregation in subvisible range (200 nm-5 µm for
Proteins) and provides ortholog information to other technologies like Morphological Imaging
and ID, MicroFlow Imaging, Light Obscuration, NTA in addition to qualitative information from
DLS
• Small sample consumption ~100 µl
• Various applications: protein-aggregation, nanomaterials, coatings, milk skimming,
stabilisation of emulsions / nanoparticle formulations etc.
Quantifying protein aggregates and silicon oil by physical properties