Particle Size Analysis in the Pharmaceutical Industry IA: Method Validation *Bell, Dennis,...

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© 2007 HORIBA, Ltd. All rights reserved. Particle Size Analysis in the Pharmaceutical Industry Mark Bumiller

Transcript of Particle Size Analysis in the Pharmaceutical Industry IA: Method Validation *Bell, Dennis,...

© 2007 HORIBA, Ltd. All rights reserved.

Particle Size Analysisin the Pharmaceutical Industry

Mark Bumiller

© 2007 HORIBA, Ltd. All rights reserved.

Outline

Why is particle size important?Relationship between particle size and dissolution, absorption and content uniformity

Do I need to set a specification?Recent recommendations from PQRIParticle sizing techniques

Microscopy/image analysis, dynamic light scattering, laser diffraction, acoustic attenuation

– ISO standards & USP <429>

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Monitor Particle Processes

Milling/size reductionMixing/blendingSeparationFiltrationGranulationHomogenizationCrystallization

Narrow particle size distributions minimize segregation problems during mixing – more homogeneous distribution of components in final product

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Particle Size and Dissolution

David R. Friend, PhD; Gregory E. Parry, PhD; T. Francis, PhD; Gary Kupperblatt, PhD; Suggy S. Chrai, PhD; and Gerald Slack,Mathematical Modeling of a Novel Controlled-Release Dosage FormDrug Delivery Technology,

XS is the mass of solid drug (mg),t is time (minutes), D is the drug diffusivity (cm2/min), X0 is the initial drug mass (mg), r is the drug density (mg/mL), h is the diffusion layer thickness (cm), r0 is the initial particle radius (cm),CS is the drug solubility (mg/mL), Xd is the mass of dissolved drug (mg), V is the volume of dissolution media (mL).

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Content Uniformity

good good good bad

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Tablets SuspensionsSize of active ingredient effects content uniformitySize influences tablet hardnessSize and shape effects packingSize and shape effect powder flow

Dissolution and absorptionContent uniformityAbility to stay in suspensionFeel in mouth

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Excipients

Particle size and physical characteristics critical in selection and performance

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Not Just Theoretical

Included in the January FDA-483 report were observations alleging that the product quality review methods for unnamed drug delivery and particle size "were inadequate in that the methods exhibit various unidentified extraneous peaks."

PRODUCTUnnamed Drug Inhalation Aerosol with mouthpiece, Net Contents 14g (10 ml), Metered Dose Inhaler, 200 metered doses. Recall # D-840-2007CODELot Numbers: 050912W, expiration date Dec 07 and lot # 060359W, expiration date Jun 08.RECALLING FIRM/MANUFACTURERRecalling Firm: Unnamed Company, letter dated May 14, 2007. Manufacturer: Unnamed Company. Firm initiated recall is ongoing. REASON Product failed particle size distribution analysis during stability.VOLUME OF PRODUCT IN COMMERCE137,491 canisters

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Need a Specification? Decision Tree 3

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Preclinical and Phase I*

Scheme for outlining particle evaluation for preclinical studies.

Decision tree outlining particle evaluation for Phase I clinical studies*PQRI Recommendations on Particle-Size Analysis of Drug Substances Used in Oral Dosage FormsJOURNAL OF PHARMACEUTICAL SCIENCES, VOL. 96, NO. 6, JUNE 2007

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Phase II

Scheme for outlining particle evaluation for Phase III clinical studies

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PQRI Recommendations: Techniques

PQRI Recommendations on Particle-Size Analysis of Drug Substances Used in Oral Dosage FormsJOURNAL OF PHARMACEUTICAL SCIENCES, VOL. 96, NO. 6, JUNE 2007

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Microscopy in the Pharm Industry

Microscopy used for many years– USP <776> “Optical Microscopy”

USP <788> for parenterals– Light obscuration or microscope

Home made, components since 1985Automated image analysis since ~1995New generations vastly superior

– Computer speed, cameras, software

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USP <776> TermsAcicular— Slender, needle-like particle of similar width and thickness. Columnar— Long, thin particle with a width and thickness that are greater than those of an acicular particle. Flake— Thin, flat particle of similar length and width. Plate— Flat particles of similar length and width but with greater thickness than flakes. Lath— Long, thin, and blade-like particle. Equant— Particles of similar length, width, and thickness; both cubical and spherical particles are included.

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Don’t use words to describe particle shape Quantify morphology through image analysis

Dynamic:particles flow past camera

Static:particles fixed on slide,stage moves slide

Two Approaches

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Multi-particulates, Dynamic IA

Inert CoreDrug + BinderPolymer CoatingDrug release

Sugar Sphere Plus Drug Layer Plus Polymer Layer

Ghost After Dissolution,

Expansion Noticeable

Sugar Sphere Plus Drug Layer

Sugar Sphere

Heinicke et al., Pharm Dev Tech, 10, 85, 2005 G. Heinicke©

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Drug Layering*13%Weight gain

15%Weight gain

Sphericity = 0.96

G. Heinicke©

*Heinicke et al., Pharm Dev Tech, 10, 85, 2005

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Drug Layering*

Heinicke et al., Pharm Dev Tech, 10, 85, 2005G. Heinicke©

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Pharmaceutical ApplicationsSugar Spheres Globules

Coating thickness

20% < 0.98 Roundness1% < 0.98 Roundness

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Static Image Analysis: PSA300

•Release vacuum•No point of impact•Software controlled•Break up agglomerates•Don’t break fragile particles•Even distribution on slide

undispersed dispersed

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Image Processing

Erosion: remove

Dilation: add

Closing: bothsmaller valleysfilled

Delineation:increasecontrast at edges

Tool box to improve imagesbefore assigning size &shape values

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Image Processing

Multi-layer grab

Contrast Thresholding

Convex hull

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Fiber Separation

Acilcular SeparationEach fiber has its own bitplaneActually measure longestdiameter

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Screen Excipients: Magnesium Stearate

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Active Ingredients

150.050.020.010.05.02.01.00.3CircDiam (µm)

0.0

5.0

10.0

15.0

20.0

25.0

Sph

Vol (

%)

0

20

40

60

80

100

Cum

ulat

ive (%

)

StatisticsMinimum: 0.3 µmMaximum: 117.7 µmD[4,3] 52.3 µmStd Dev.: 34.6 µmSum: 553229657.7 µmCount: 11208Under: 0Over: 0Accepted: 100.0 %Field Count: 400Field Area: 183702.5 µm²Total Area: 73480997.2 µm²D10: 15.9 µmD50: 40.1 µmD90: 100.0 µm

1.00.50.20.10.1 0.0Roundness

0

5

10

15

20

25

Cou

nt (%

)

0

20

40

60

80

100

Cum

ulat

ive (%

)

Mean 0.6Std Dev 0.2Count 11208Field Count 400

20.010.05.02.01.0AspRatio

0

5

10

15

20

25C

ount

(%)

0

20

40

60

80

100

Cum

ulat

ive (%

)

Mean 1.9Std Dev 1.0Min 1.0Max 17.6Count 11208Field Count 400

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Static IA: Method Validation

*Bell, Dennis, Hendriksen, North, Sherwood, Position Paper on Particle Sizing: Sample Preparation, Method Validation and Data Presentation, Pharmaceutical Technology Europe, November 1999

RecommendationsOf the possible validation headings discussed above, the following items are considered significant and should be included in a particle sizing validation report:• the procedure (or reference to it)• precision• range (suitability assessment including microscopic comparison)• robustness.

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Contamination: Image Analysis

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Submicron by PCS: Brownian motion: 1 nm – 1 µm

Particles in suspension undergo Brownianmotion due to bombardment by solventmolecules in random thermal motion.

Nanoparticles attachedto red blood cells

© 2007 HORIBA, Ltd. All rights reserved.Explore the Future Seminar Series 2009 Horiba Particle Characterization

Dynamic Light Scattering: 1 nm – 1 µm

Particles in suspension undergo Brownian motion due to solventmolecule bombardment in random thermal motion.

• Brownian Motion– Random– Related to Size– Related to viscosity– Related to temperature

© 2007 HORIBA, Ltd. All rights reserved.Explore the Future Seminar Series 2009 Horiba Particle Characterization

Diffusion

Particle is randomly diffusingLarger particles will diffuse more slowlyLarger particles have more Inertia

Scatter light off this diffusing particleMeasure the Frequency Shift of the signal

Laser

Dete

ctor

Frequency Shifted Signal

© 2007 HORIBA, Ltd. All rights reserved.Explore the Future Seminar Series 2009 Horiba Particle Characterization

Stokes-Einstein

Dynamic Light Scattering

Measured frequency-intensity distribution (power spectrum)

Power spectrum takes form of Lorentz distribution, whose half-value width can be expressed as 2Dq²

All parameters in the half-width are known or measured

The Diffusion Coefficient D is related to the Particle Size

Frequency Shifted Signal

Frequency-IntensityDistribution

Iterative Calculation

© 2007 HORIBA, Ltd. All rights reserved.Explore the Future Seminar Series 2009 Horiba Particle Characterization

Liposomes

Liposomes to target tumor growthSize is critical to how the liposome

Encapsulates proteinFunctions within bodyRemains stable over timeDelivers the protein

© 2007 HORIBA, Ltd. All rights reserved.Explore the Future Seminar Series 2009 Horiba Particle Characterization

2mg/mL filtered BSA

BSA- well characterized protein DLS – Can be used to determine the aggregation state of the protein

© 2007 HORIBA, Ltd. All rights reserved.Explore the Future Seminar Series 2009 Horiba Particle Characterization

Protein Aggregation Time Study*

Unstabilized 10mg/ml lysozyme at pH 2

*Lisa Cole and Ben Burnett at the Florida Institute of Technology

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Time EvolutionStability is influenced by:

TemperatureProtein concentrationpHIonic strength

Aggregation is influenced by:Freezing Exposure to airInteractions with metal surfaces

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ADVANTAGES:Can accommodate high sample concentrationsNo need to consider complex optical properties

Acoustic Spectroscopy

ApplicationsEmulsions & suspensionsDispersion stability with zeta potential

DetectorSignalsource

Signal output

Pulsed electric field applied to sampleParticles vibrateSound waves converted to

size

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Dispersion Stability

10 -2 10 -1 10 0 10 1

Diameter [um]

85nm suspension

aggregates at IEP

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Laser DiffractionParticle size 0.01 – 3000 µm

•Converts scattered light to particle size distribution

•Quick, repeatable•Most common technique•Suspensions or powders

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Low End Sensitivity

30, 40, 50, 70 nm latex standards

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Low End SensitivitySensitivity: small particle detection30 nm silica 40 nm latex

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Low End Sensitivity: CosmeticsSome (unfounded?) concernswith particles <100nmLA-950 good at determining sub 100nm particlesSoftware set to display % underany given sizeData shown left is for skin creamand TiO2 suspensionOther systems capable of thesemeasurements:

-DT-1201 acoustic spectrometer-LB-550 DLS system

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Small Sample Volume (MiniFlow)

Colloidal Silica (weak scatterer)Median (D50): 35 nmSample Amount: 132 mg

Magnesium StearateMedian (D50): 9.33 μmSample Amount: 0.165 mg

Bio-degradable PolymerMedian (D50): 114 μmSample Amount: 1.29 mg

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Reproducibility: Dry Powder Feeder

Direct flow ofpowder down tocell rather thanturn 90o, thenaround plastic tube

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Reproducibility: Dry Powder Feeder

Automatic control of sample feed rateLA-950 monitors amount of sample supplied by the vibratory feeder. Automatic feed back control keeps constant mass flow rate of powder during measurementThis is CRITICAL

– More reproducible, robust– No ghost peaks– No cutting off results

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USP<429> Software

ISO13320-1-1999 “Particle size analysis — Laser diffraction methods — Part 1: General principlesEP 2.9.31 “Laser Diffraction Measurement of Particle Size”; Lead for this monographAppearance in Pharmacopeial Forum 28, Number 3 2002Now in USP 28, NF25

– in Stage 4 of the harmonization process with the EP and the JP

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USP<429> Software

USP <429>: ReplicatesMay call this reproducibility

At least three different representative samples from the same batch

CV < 10% at median d 50CV < 15% at d10 & d 90

Can double when below 10 µm

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COV Calculations

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Qualification: Accuracy and Repeatability

Three independent measurements, calculate meanX50 <3% “certified range of values”X10 & X90 < 5% “certified range of values”Also check repeatabilityCOV X50 < 3%COV X10 & X90 < 5%

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Accuracy Calculations

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ISO 13320

ISO 13320 has samerequirements

Just different specs

EVERY user shouldUse these features

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Conclusions

Particle size and shape are critical physical characteristics for pharmaceutical powders & suspensionsLaser diffraction most popular technique

USP<429> may drive method developmentImage analysis becoming more popular

PQRI recommendations suggest useAcoustic spectroscopy w/zeta potential useful in formulation