tableting & scale up

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Changing Tableting Machines in Scale-Up and Production: Ramifications for SUPAC FDA CDER DPQR Seminar April 3, 2000 Michael Levin, Ph.D. Metropolitan Computing Corporation (MCC), East Hanover, NJ 07936

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Changing tableting machines and scale up

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Page 1: Tableting & Scale up

Changing Tableting Machines in Scale-Up and Production:

Ramifications for SUPACFDA CDER DPQR Seminar

April 3, 2000

Michael Levin, Ph.D.Metropolitan Computing Corporation (MCC), East Hanover, NJ 07936

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Page 2

MAKING A TABLET

�Die�Upper punch� Lower punch�Upper compression roll� lower compression roll� Turret

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MAKING A TABLET

UPPERPUNCH

LOWERPUNCH

UPPERPUNCH

LOWERPUNCH

LOWERPUNCH

UPPERPUNCH

LOWERPUNCH

UPPERPUNCH

LOWERPUNCH

Apparent density Tapped density Deformation

Fracture, Plastic Flow Fusion

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TABLETING PROCESS

HARDNESS(bonding)

DISSOLUTION(porosity)

Adapted from K. Marshall (1999a)

COMPACTIONincrease in mechanical strength

(consolidation of particles)

COMPRESSIONreduction in bulk volume

(displacement of gaseous phase)

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COMPRESSION MECHANISMS

YESPARTLYVISCO-ELASTIC(starch)

NONOBRITTLE(emcompress)

YESPARTLYBRITTLE-PLASTIC(lactose)

YESNOPLASTIC(avicel)

NOYESELASTIC(rubber)

TIME DEPENDENTREVERSIBLE

Adapted from K. Marshall (1999a)

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COMPACTIBILITY PROFILE

0

2

4

6

8

0 5 10 15 20Compaction Force (kN)

Har

dnes

s (k

P)

starch

avicellactose

emcompress

Adapted from K. Marshall (1999a)

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0

20

40

60

80

100

0 5 10 15 20

Compaction Force (kN)

Poro

sity

(%)

COMPRESSIBILITY PROFILE

starch

avicel

lactose

emcompress

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Page 8

COMPACTIBILITY PROFILE

0

2

4

6

8

0 1 2 3 4Compaction Force (kN)

Har

dnes

s (k

P) AvicelHigh speed

AvicelLow speed

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Page 9

0

20

40

60

80

100

0 1 2 3

Compaction Force (kN)

Poro

sity

(%)

AvicelHigh speed

AvicelLow speed

COMPRESSIBILITY PROFILE

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Page 10

0

5

10

15

20

25

30

35

40

0 2 4 6 8 10 12 14 16 18 20 22 24 26

specification

specification

POROSITY, HARDNESS AND DISSOLUTION

Hardness (kP)

t75% Dissolution (min)

Porosity (%)

Adapted from K. Marshall (1999a)

SpeedForce

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Page 11

FACTORS IN TABLETING

Press Force Press Speed

Hardness Porosity

Surface Area

Dissolution

Disintegration

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Page 12

Report and Recommendation of the USP Advisory Panel on Physical Test Methods: Compactibility Test

K. Marshall (1999b)

USP RECOMMENDATION

�Consolidation (Compactibility)area under hardness – log applied pressure plot

�Compressibilityarea under porosity – log applied pressure plot

�Compaction Rate Sensitivityarea between two compactibility curves plots for two speeds that differ by a factor of 10

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Page 13

Tableting Equipment

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Tableting Cycle

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Page 15

DIFFERENCES IN TABLET PRESSES

� Mode of die fill (SUPAC IR/MR)� gravity� force feed� centrifugal� compression coating

� Mode of Compression� To constant thickness

› Variations in porosity� To constant force

› Variations in thickness� Effect of Precompression

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Page 16

DIFFERENCES IN TABLET PRESSES

� Effect of Speed� Hardness � Porosity � Temperature � Power of compaction � Lamination and capping � Disintegration time � Dissolution time

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Page 17

Contact Time and Dwell Time

Forc

e

Dwell Time

Contact Time

Compression Event

Contact Time: when punch head is in contact with the wheelDwell Time: when flat portion of punch head is in contact with the wheel

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Page 18

Dwell Time Comparison for Rotary Pressesy

Dwell Time, ms

0 10 20 30 40 50 60 70 80

Kilian T100

Fette PT 2090 IC

Manesty Unipress Diamond

Korsch PH106Riva Piccola

Manesty BetapressMCC Prester

PRODUCTION PRESSES

RESEARCH PRESSES

Korsch PH336Kilian TX40AKikusui Libra2

Hata HT-AP38-SU

MCC Presster

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Page 19

DIFFERENCES IN TABLET PRESSES

�Compression Roll Diameter

� Press Deformation Factor

� Tooling Geometry� porosity with tip curvature

� Instrumentation

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Page 20

What can be measured on a tablet press?

� Compression

� Precompression

� Ejection

� Speed and turret position

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Compression Measurement

FORCE SENSOR

die

COMPRESSION ROLL

SERVOMOTOR

WEIGHTADJUSTMENTCAM

TABLETTHICKNESS

ADJUSTMENT

STRAIN GAUGES

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Page 22

Compression Transducer

FORCE SENSOR

die

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TABLET PRESS SIMULATION

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Functions:Functions:•• Load Control Load Control •• Position ControlPosition Control

Hydraulic Compaction Simulator

CROSSHEADS

HYDRAULICACTUATOR

COMPRESSIONLOAD CELL

PUNCHES AND DIE

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• Impossible to calculate• Pre-recorded data depends on

(Force vs. Time)

� Press brand, model, tooling� Press force and speed� Formulation� Instrumentation

Load Control ProfileHydraulic Compaction Simulator

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•Pre-Recorded Data

•Artificial Profiles

•Theoretical Profiles

(Punch Displacement vs. Time)

Position Control ProfileHydraulic Compaction Simulator

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Page 27

depends on� Press brand, model, tooling� Press force and speed� Formulation� Instrumentation

Pre-Recorded Position Control Profile

Hydraulic Compaction Simulator

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Page 28

� Sinusoid, saw-tooth, single-ended, etc.� Useful for basic compaction research� Useful for test standardization� Do not simulate tablet presses

Artificial Position Control Profile

Hydraulic Compaction Simulator

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Page 29

Using Rippie & Danielson (1981) equation

� Does not account for flat head� Does not account for punch deformation� Does not account for press deformation� In and out of an empty die

Theoretical Position Control Profile

Hydraulic Compaction Simulator

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Page 30

PRESS 1 PRESS 2

PRESS 3

Mechanical Compaction SimulatorThe New Generation

Tablet Press Replicator

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Page 31

�mimic press geometry�match press speed�match tablet weight�match tablet thickness�match tooling� control speed� control force

The Presster™

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CASE STUDY

Correlations Between a Hydraulic Compaction Simulator, Instrumented Manesty Betapress and the PressterTM

G. Venkatesh et al., AAPS Meeting, 1999

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Page 33

PRODUCT QUALITY RESEARCH

� Data from� Instrumented Press� Compaction Simulator� The Presster

� Physical Tests for Submissions� SUPAC Guidance� Expert Systems� Artificial Neural Networks� Dimensional Analysis

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DIMENSIONAL ANALYSIS

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DIMENSIONAL ANALYSISΠ-theoremEvery physical relationship between n dimensional variables and constants can be reduced to a relationship between m=n-r mutually independent dimensionless groups, where r = number of dimensional units, i.e. rank of the dimensional matrix Buckingham (1914)

Similarity:• Geometric• Kinematic• Dynamic

For any two dynamically similar systems, all the dimensionless numbers necessary to describe the process have the same numerical value (Zlokarnik, 1998)

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DIMENSIONAL ANALYSIS

Case Study:

WET GRANULATION

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Granulation End Pointand Product Properties

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Relevance List for wet granulation:

Dimensional analysis and application of the Buckingham theorem indicates that there are 4 dimensionless quantities that adequately describe the process:

Ne (P) = P / (n3 d5) Newton Power NumberRe = . d2 . n / Reynolds NumberFr = d2 . n / g Froude Numberh/d ratio of characteristic lengths

DIMENSIONAL ANALYSIS

d - impeller diameter [L]h - height of granulation bed in the bowlg - gravitational constant [LT-2]η - dynamic viscosity [M L-1 T-1]ρ - specific density of particles [M L-5]n - impeller speed [T-1]P - power consumption [ML2T-5]

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Gral 300

Gral 150

Gral 75

Gral 25Gral 10

0.00 0.50 1.00 1.50 2.00 2.50 3.00

Froude Numbers for Collete-Gral High-Shear Mixers

Wet Granulation

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Page 41

PMA 1800

PMA 800

PMA 600PMA 300

PMA 150

PMA 65

PMA 25

PMA 10

0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50

Froude Numbers for Fielder High-Shear Mixers

Wet Granulation

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Page 42

P1250P1000

P800

P600P400

P250

P100P50

P25

P10

0 0.5 1 1.5 2

Froude Numbers for Diosna High-Shear Mixers

Wet Granulation

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Page 43

VG-3000VG-2000VG-1000VG-800VG-600

VG-400VG-200

VG-100VG-50

VG-25VG-10

VG-5VG-1

0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00

Froude Numbers for Powrex High-Shear Mixers

Wet Granulation

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VG-600P600

PMA 600VG-200

P250PMA 300

Gral 300VG-50

P50PMA 65

Gral 75VG-10

P10PMA 10

Gral 10

0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00

Comparative Froude Numbers for High-Shear Mixers

Wet Granulation

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DIMENSIONAL ANALYSISTableting

1. Geometric factors

d - die diameter [L]

h - tablet thickness [L]

2. Physical propertiesc = ΔV / (Δp V) - compressibility factor [M-1LT2]

where V - volume of the tablet; p - applied pressure

3. Process parametersp - Compression pressure [ML-1T-2]

s - Compression speed [LT-1]

t - Contact time [T]

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DIMENSIONAL ANALYSIS

Π1 = d / h

Π2 = s • t / h

Π3 = p • c

Target quantity Predictor Equation

hardness h [ML-1T-2] h • c = f(Π1, Π2, Π3)

dissolution time θs [T] θs / t = f(Π1, Π2, Π3)

By Buckingham’s Theorem, the Π set is

These relationships are now awaiting an experimental confirmation on a range of presses and materials. The predictive power of the above

relationships can have a vital role in the future of tableting scale-up.

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CURRENT SUPAC IR/MR� Changes in batch size

� Level 1 (equipment of same design and operating principles, vary in capacity up to a factor of 10 the size of the pilot batch)

� Level 2 (equipment of same design and operating principles, vary in capacity beyond a factor of 10 the size of the pilot batch)

� Manufacturing Equipment Changes� Level 1 (equipment of same design and operating principles, may vary

in capacity)� Level 2 (equipment of different design and operating principles)

� Manufacturing Process Changes� Level 1 (different operating conditions, such as operating speeds

within original approved application ranges)� Level 2 (different operating conditions, such as operating speeds

outside of original approved application ranges)

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� Keith Marshall (Keith Marshall Associates)� Gopi Venkatesh (SmithKline Beecham)� Colleen Ruegger (Novartis)� Marko Zlokarnik (Bayer Austria)

Acknowledgements

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Special thanks to� Neelima Phadnis, Ph. D.

(SmithKline Beecham)for her valuable insight

� Lev Tsygan (MCC)for his contribution to Mixer characterization based on Froude numbers

Acknowledgements