Solving Powder Challenges Using Particle Size and Shape Analysis

67
© 2014 HORIBA, Ltd. All rights reserved. Solving Powder Challenges Using Particle Size and Shape Analysis Ian Treviranus [email protected] www.horiba.com/us/particle

description

Measuring the particle size and shape of powders is a common requirement for the development and quality control of countless products. Join us on Wednesday, October 22nd at 1:30 PM Eastern (10:30 AM Pacific) to explore challenges associated with powder measurement including sampling, data interpretation, data quality, and verification. Laser diffraction is a well-known sizing technology suitable for most R&D, QC, and production environments. Dynamic image analysis is a disruptive technology capable of providing very high resolution size and shape data. This webinar will be suitable for anyone wishing to make higher quality powder size and/or shape measurements.

Transcript of Solving Powder Challenges Using Particle Size and Shape Analysis

Page 1: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Solving Powder Challenges Using Particle Size and Shape Analysis

Ian [email protected]/us/particle

Page 2: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Liam approaches light speed

Page 3: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

What we’ll talk about

Importance of size and shape

State of the art technologies for size and shape measurement

Tips and best practices

Page 4: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Data interpretation (larger topic, TR008)

Laser diffraction theory (TE017, TR002)

Image analysis theory (TR009)

Dynamic light scattering (TE012, TR012, TR014)

Shape data from lightscattering

Additional resources

Page 5: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Influence of size and shape

Particle size and size distribution directly affect compaction, flow, dissolution, texture, and much moreParticle shape less so with some exceptions Together they influence Particle processes, making products Product performance Making measurements

So in other words, almost everything

Page 6: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Particle processes affected by shape

Powder flow; spheres flow easily, needles do notPowder mixing; blend time may change

with shapeAlso VERY associated with size, hard

sometimes to separate size and shape

Page 7: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Powder flow

Understand that spheres flow more easily than needlesHow to quantify? Need to first know

something about powder flow testingWon’t go into great detail in today’s talkJust show results including particle

shape

Page 8: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Powder flow*

c =hopper angle

BC = outlet diameter

*

Page 9: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Powder flow

Unconfined Yield Strength

Major principle stress that causes an unconfined bulk material to fail in shear

Directly proportional to arching & formation of rat holes

Influences by # contact points From: Johansen, Effect of Particle Shape on

Unconfined Yield Strength, Material Flow Solutions,Inc.

Page 10: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Influence of size and shape

Weili, Yu, et al. 2011. Prediction of Bulk Powder Flow Performance Using Comprehensive Particle Size and Particle Shape Distributions. Journal of Pharmaceutical Sciences, 100(1)http://onlinelibrary.wiley.com/doi/10.1002/jps.22254/abstract

Study of pharmapowders using DIA to determine which size and shape descriptors best predict FFC

Minimum Feret, equivalent circle, aspect ratio shown to be most predictive

Page 11: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Mixing

Size and shape both affect mobility and therefore cause segregation

Shape has smaller effect than size Shape differences must be substantial

*Koller et. al.,Continuous quantitative monitoring of powder mixing dynamics by near-infrared spectroscopyPowder Technology, Volume 205, Issues 1–3, 10 January 2011, Pages 87–96

*

Page 12: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

What we’ll talk about

Importance of size and shape

State of the art technologies for size and shape measurement

Tips and best practices

Page 13: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

OPTICAL MICROSCOPY / IMAGE ANALYSIS

ELECTROFORMED MESH SIEVES

CENTRIFUGAL SEDIMENTATION

ELECTRICAL CONDUCTIVITY

DYNAMIC LIGHT SCATTERING

ACOUSTIC SPECTROSCOPY

LIGHT OBSCURATION / ELECTRICAL SENSING ZONE

LASER DIFFRACTION

10 nm 100 nm 1 µm 10 µm 100 µm 1 mm

Size range by technique

Page 14: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Size descriptors

Laser diffractionEquivalent spherical

diameter Image analysisEquivalent circular diameterMinimum chord length

(width)Maximum feret (length-ish)Minimum Martin’s diameter

(width)Many more for special cases

(curved particles, true length)

Page 15: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Shape descriptors (IA only)

Sphericity

Symmetry

Aspect ratio

Convexity

Page 16: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Featured technologies

LA-960Laser Diffraction

SZ-100Dynamic Light Scattering & Zeta Potential

CAMSIZER & CAMSIZER XTDynamic Image Analysis

PSA300Static Image Analysis

SA-9600Flowing Gas BET Surface Area

Page 17: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

LA-960: Laser Diffraction

Particle size performance leaderTenth generationUltra durableLowest total cost of ownershipSuspension, emulsion,

powder, paste, gel10 nanometer – 5 mm

Page 18: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Diffraction measurement principle

LARGE PARTICLE: Peaks at low angles Strong signal

SMALL PARTICLE: Peaks at larger angles Weak Signal

Wide Pattern - Low intensity

Narrow Pattern - High intensity

Page 19: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Example optical design

Page 20: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Diffraction measurement principle

Coarser Finer

0 deg 180 deg

Page 21: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

LA-960 PowderJet

Sits on top of LA-960 No impaction surfaces

prevents breakage Feedback control for

maximum precision Fully automated Wet to dry switch in 30

seconds

Page 22: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

CAMSIZER XT: Dynamic Image Analysis

High resolution size & shape Intelligent sieve correlationPatented dual captureCAMSIZER XT 1 µm – 8 mmCohesive or free flowing

powdersSuspensions with

accessory

Page 23: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

High resolution measurementWhitehouse Glass Bead Standard XX030

Page 24: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

CAMSIZER XT measurementAdvanced, patented optics design

Sample flow

Light source 2

Light source 1

Basic Camera

Zoom Camera

Page 25: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

CAMSIZER XT measurement

Page 26: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Shape analysis with the XT

area of the particle

perimeter of the particle

circle with same area as particle

diameter of circle of

same area

2

4P

ASPHT

max

min

Fe

c

xx

lw

lb

b/l0.4 0.5 0.6 0.7 0.80

10

20

30

40

50

60

70

80

90

Q3 [%]

Pharma-Product-1-30kPa-bonne-forme-_xc_min_009.rdfPharma-Product-1-30kPa_Vitesse-Adaption_xc_min_008.rdflactose-30kPa_xFemax_003.rdfPharma-Product-2-460_xc_min_008.rdf

SPHT0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.90

10

20

30

40

50

60

70

80

90

Q3 [%]

Pharma-Product-1-30kPa-bonne-forme-_xc_min_009.rdfPharma-Product-1-30kPa_Vitesse-Adaption_xc_min_008.rdflactose-30kPa_xFemax_003.rdfPharma-Product-2-460_xc_min_008.rdf

Page 27: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Size and shape critical to reflective properties

More round = more reflectivity back to source

CAMSIZER uses b/l ratio to quantify roundness

Traditional techniques: sieves and “round-o-meter”

Dry In paint

Glass beads for road markings

Page 28: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Traditional method CAMSIZER Technology

Proppants

Page 29: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Laser diffraction advantages

Fastest measurement: less than 1 min.Excellent intermediate precisionMost common modern sizing techniqueFlexible design also supports

measurement of suspensions, emulsions, gels, pastes, creams

Page 30: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Image analysis advantages

Faster measurement: less than 5 mins.Superior resolution Improved intermediate precisionQuantify clusters, satellites, broken

particles, mixturesCapture images for backup

Page 31: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Must-have features for dry analysis

Feedback control of powder flow to maximize precisionWide dynamic rangeEasy operation via method filesMaintenance-free operation

Page 32: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

What we’ll talk about

Importance of size and shape

State of the art technologies for size and shape measurement

Tips and best practices

Page 33: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Sampling

Webinar TR011White Paper WP004

Page 34: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Sampling workflowExcellent strategynot sure how often followed

Must do this

From: NIST Recommended Practice GuideSpecial Publication 960-1Particle Size CharacterizationAjit Jillavenkatesa,Stanley J. Dapkunas,Lin-Sien H. LumMaterials Science and Engineering LaboratoryJanuary 2001

Page 35: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Small particles Smaller extraction errors (A) Larger sample prep errors (C)

Large particles Larger extraction errors (B) Smaller sample prep errors (D)

Instrument error relatively small May increase w/decreasing particle size (less so w/LA-960)

Particle size

Sample preparation Sample extraction

Instrument error

%

E

R

R

O

R A

B

C

D

Measurement error sources

Page 36: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Sampling and Sample Splitting

Why sampling matters

Separation happens with any materials having a polydisperse particle size distribution

Page 37: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Place spatula into powder, extract small amount for analysis Easy, most used method Maybe worse method

May be acceptable for narrowdistributionsProblem: segregation of larger particles

w/wide distribution Large particles percolate upward Small particles gravitate downward

One solution: use a powder thief

Technique: grab sampling

Page 38: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Pile of powder is divided into 4 sections. Two diagonal sections are discarded, and two are retained and mixed together.Mixture is again divided into 4 sections, and two diagonal sections are mixed.Process is repeated until remaining sample is correct amount for analysis.Can be carried out with very small sample amount or very large samples.

Technique: coning & quartering

Page 39: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Chute splitting allows sample to vibrate down a chute to vanes which separate the mass into two portions. Each portion moves further where they each are divided into two parts, now giving four parts. This may be continued until usually 8 or 16 portions are obtained.

Technique: chute riffling

Page 40: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

The best method of representative splitting of powders is the ROTARY RIFFLER. The complete sample to be split is directed down a chute into open containers. Each container will receive a sample which is representative of the original bulk material because the distribution of material is averaged over time. The complete amount of the original bulk sample must be consumed.

These splitters are commercially available from companies that market various types of sample splitters.

See: www.retsch.com

www.quantachrome.com

www.microscal.com

Technique: rotary riffling

Page 41: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Standard Deviation () in % Sugar-Sand Mixture

SCOOP SAMPLING 6.31 TABLE SAMPLING 2.11 CHUTE RIFFLER 1.10 SPINNING RIFFLER 0.27

Density of sand and sugar respectively 2.65 and 1.64 g/ml Reference: Allen, T. and Khan, A.A. (1934), Chem Eng, 238, CE 108-112

Importance of sampling technique

Page 42: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Influence of spinning riffler

Sample riffledAll of sub sampledispersed andmeasured as asuspension

40+% improvement in COV

Page 43: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Data Interpretation

Webinars TR008, TR001, TR018, TR015, TR010

Page 44: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

1 bar

2 bar

3 bar

Dispersing agglomerates

Watch for no change in coarsest particles with changing energy

Page 45: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

High = 3 barMid = 2 barLow = 1 bar

Effect of air pressure: Mg Stearate

Page 46: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Reproducibility at 3 bar pressure

Page 47: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Reproducibility at 2 bar pressure

Page 48: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Reproducibility at 1 bar pressure

Page 49: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Wet and dry comparison

Overlay of TiO2 powderdispersed wet (red) and dry (blue) by the LA-960

Page 50: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

High = 3 barMid = 2 barLow = 1 bar

Breaking particlesWatch for finer particles being created with increasing

energy

Page 51: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Matching expectations“Nanopowders” do not existKnow how the expectation was developedClassic example is TiO2 PowderJet result with

D50 of 320 nm doesnot compare to 20 nm!

Page 52: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Building Trust in Your Data

Webinar TR015, TR006, TR018

Page 53: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Reproducible method that tracks product performance Use structured approach for any decision/choice that may

influence result Have data to support selections made Document process so colleagues understand

your choices Compare to accepted industry standards

First, trust your method

Page 54: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

First get sampling right & determine RI for diffraction Measure at 3 different pressures (low, medium, high) Determine optimum pressure based on good

dispersion while not breaking particles Can also compare dry vs. wet measurements Adjust other settings to optimize mass flow & duration Ideally measure all of powder placed into the sampler

Segregation can occur on vibrating tray Constant mass flow rate important for stable concentration

during measurement

Once settings chosen, test reproducibility, refine for maximum precision

A structured approach to method dev

Page 55: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Confirming dry particles < 1 micron

Laser diffraction

Ultramicroscopy

Electron microscopy

Page 56: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Laser diffraction < 1 µm Option: Electron Microscopy

Sampling is a concern Can confuse primary particles

and aggregates Very high resolution

Page 57: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Laser diffraction < 1 µm Option: Change RI

Possible secondary scattering

Not as definitive as other options

Use Method Expert software to speed up

1.85 – 0.01i

1.57 – 0.01i

Large particles scatter intensely at low angles

Small particles scatter weakly at high angles

Page 58: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Confirming dry particles > 1 micron

Laser diffraction

Image analysis

Sieves

Page 59: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Laser diffraction > 1 µm Option: Image Analysis

Static or dynamic Quickly verify large particles Provide shape info Automated or manual? Reliable measurement?

Page 60: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Laser diffraction > 1 µm Option: Sampling & dispersion

Large particles are more difficult to sample accurately

Try different sampling techniques like spin riffling (powders)

Large particles may actually be agglomerates

Try different air pressures Try flow aids See webinar TR005 on horiba.com

Page 61: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Image analysis > 1 µm

Option: Save an image Straightforward, convincing Manual microscopy subjective Automated IA software will save

only those particles which meet certain size and shape criteria

Page 62: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Image analysis > 1 µm

Option: Sampling & dispersion Large particles are more difficult to

sample accurately Try different sampling techniques

like spin riffling (powders) Large particles may actually be

agglomerates Try different dispersing pressures See webinar TR005 on horiba.com

Page 63: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

System Verification

Webinar TR004Verification web page

Page 64: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

System verification

Look to standards for guidanceLaser diffraction – ISO 13320, USP <429>Dynamic image analysis – ISO 13322-2

Ask vendor for recommendationsAre the materials reference standards

or certified standards?Useful to develop internal reference

material(s)

Page 65: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Polydisperse standards

Now good range of sizes available

Remember the typical error sources vs. size

Can buy in proper quantities for given samplers No sub-sampling concerns

Ideal for dry powder systems No point in measuring more

than one size rangewww.whitehousescientific.com

Page 66: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

Danke

Gracias

Большое спасибо

Grazieاُشْكر Σας ευχαριστούμε

감사합니다 Obrigado

Tacka

谢谢ขอบคุณครบั

ありがとうございました

धन्यवादநன்ற

Cảm ơnDziękuję

Page 67: Solving Powder Challenges Using Particle Size and Shape Analysis

© 2014 HORIBA, Ltd. All rights reserved.

www.horiba.com/particle

Receive news of updates

View application & technical notes (170+), webinars (70+), white papers.

Talk to us, ask [email protected]

Ian TreviranusProduct Line Manager

[email protected]