23
1 Densification and Size in High Shear Wet Granulation: Combined Use of Focused Beam Reflectance Measurement with Drag Force Sensor Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 , Divyakant Desai 1 , Sherif Badawy 1 , Dilbir Bindra 1, 1 Bristol-Myers Squibb, Co., New Brunswick, NJ Vadim Stepaniuk 2 , Valery Sheverev 2 2 Lenterra, Inc., Newark, NJ AAPS 2013

Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

  • Upload
    jill

  • View
    88

  • Download
    1

Embed Size (px)

DESCRIPTION

Real-Time Measurement of Granule Densification and Size in High Shear Wet Granulation: Combined Use of Focused Beam Reflectance Measurement with Drag Force Sensor. Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 , Divyakant Desai 1 , Sherif Badawy 1 , Dilbir Bindra 1, - PowerPoint PPT Presentation

Citation preview

Page 1: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

1

Real-Time Measurement of Granule Densification

and Size in High Shear Wet Granulation:

Combined Use of Focused Beam Reflectance

Measurement with Drag Force SensorAjit S. Narang1, Brian Breza1, Kevin Macias1, Tim Stevens1,

Divyakant Desai1, Sherif Badawy1, Dilbir Bindra1,

1Bristol-Myers Squibb, Co., New Brunswick, NJVadim Stepaniuk2, Valery Sheverev2

2Lenterra, Inc., Newark, NJ

AAPS 2013

Page 2: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Purpose• Process analytical technologies (PAT) for real time monitoring and control of

high shear wet granulation (HSWG) have achieved significant success in granule

size distribution using focused beam reflectance measurement (FBRM).

• However, granule densification is an important quality attribute that often

correlates with granule porosity and drug product dissolution.

• PAT tool to quantify granule densification, in parallel with size distribution, can

provide complete attribute-control for the granulation processes, enabling

building quality-by-design in the HSWG unit operation.

• In this study, the resolution and sensitivity of a drag force flow (DFF) sensor in

delineating granulation densification used concurrently with FBRM C35 probe

was investigated.

Page 3: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Methods

• A placebo formulation consisting of microcrystalline cellulose, lactose

monohydrate, croscarmellose sodium, and hydroxypropyl cellulose (HPC) was

granulated with 40% w/w water in a 30 liter Pharma Connect granulator at

impeller tip speed of 4.8 m/s and chopper speed of 1000 rpm.

• Rate of granule size growth and densification were measured using in-line

FBRM C35 probe and DFF sensor at different concentrations of HPC (1%, 3%,

and 5% w/w).

Page 4: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Shear Sensor

Drag Force Flow (DFF) Sensor

• Product of Lenterra Inc.

• Drag force on thin cylinder shear force

• Minute deflections of the hollow pillar

are detected by two optical strain gauges

(Fiber Bragg Gratings) attached on the

inner surface of the pillar

• Force and temperature measured

• No moving parts, no gaps where particles

could be trapped

• Measurement speed 500 Hz

• Force as low as 1 mN can be detectedOptical fibers

Optical strain gauges

Hollow pillar

Base

Page 5: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Placement of Sensors in the High Shear GranulatorDFF Sensor

• Focused beam reflectance measurement (FBRM) C35 probe for in-line

measurement of chord length distribution (CLD).

• DFF sensor for shear measurement.

DFF SensorC35 Probe

Page 6: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Experimental Conditions• Batches:

• Test 1- HPC 1%; Test 2- HPC 3% ; Test 2- HPC 5%.• Blade RPM: 210 (4.8 m/s), chopper RPM: 1000

• Timing: • Test 1: Impeller starts – 9 s, water on- 259 s, water off- 439 s, impeller

stops- 1370 s.• Test 2: Impeller starts – 10 s, water on – 250 s, water off – 432 s,

impeller stops – 1333 s• Test 3: Impeller starts – 24 s, water on – 267 s, water off – 447 s,

impeller stops – 1368 s• DFF Sensor

• Position: 1” above the blade.• Acquisition rate: 500 Samples per second

• Color convention on the plots:• Test #1 – red curve• Test #2 – green curve• Test #3 - blue curve• Light blue area – duration of water addition

Page 7: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

DFF Sensor Raw Data with Zero Correction

• Increase in DFF shear during water addition and wet massing phase evident.

1% HPC batch

Page 8: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

DFF Sensor Raw Data with Zero Correction

• Increase in DFF shear during water addition and wet massing phase evident.• 3% HPC provides signal differentiation from 1% HPC batch

3% HPC batch

Page 9: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

DFF Sensor Raw Data with Zero Correction

• Increase in DFF shear during water addition and wet massing phase evident.• 5% HPC batch has signal different than 1% and 3% HPC

5% HPC batch

Page 10: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

10

DFF Sensor Time Resolved Signal

Peaks due to consolidated granule impacts

Continuous signal due to wet mass flow (sine fit)

• Peak amplitude is proportional to the mass of the granule • Sine fit amplitude is proportional to the density of wet mass

Page 11: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Fast Fourier Transformation

Figure 1

DC component

Fundamental 10.56Hz

Second harmonics

Third harmonics

Impeller frequency

• High resolution data collection allows processing options such as FF transformation

Page 12: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Amplitude of the Fundamental Harmonic

0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500-0.05

0.00

0.05

0.10

0.15

0.20

Test 1

Test 2

Test 3

Time, s

Ampl

itude

, N

Water on

Water off

• DFF sensor is ability to differentiate batches made with different HPC % w/w content as well as different stages of processing.

Page 13: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Highest Peak Magnitude

0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,5000.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

Test 1

Test 2

Test 3

Time, s

High

est p

eak

mag

nitu

de, N

Water off

Water on

• DFF sensor is able to differentiate batches made with different HPC % w/w content as well as different stages of processing.

Page 14: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Time Dependent Histogram of Peak Amplitude

Distribution: 1% HPC

Page 15: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Time Dependent Histogram of Peak Amplitude

Distribution: 3% HPC

Page 16: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Time Dependent Histogram of Peak Amplitude

Distribution: 5% HPC

Page 17: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Sine Function Amplitude After Distribution Fitting

0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500-0.05

0.00

0.05

0.10

0.15

0.20

Time, s

Ampl

itude

, N

Water off

Water on

• DFF sensor is able to differentiate batches made with different HPC % w/w content as well as different stages of processing.

Page 18: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Particle Size Distribution: Sieve Analysis

• No significant difference in the particle size distribution of batches manufactured with different % w/w HPC levels.

• Indicates the ability of DFF shear sensor to quantitate a binder-level related in-process attribute that is not necessarily PSD dependent.

1500 855

568 303

165 113

38

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

1% HPC

3% HPC

5% HPC

Part Size (Microns)

Norm

aliz

ed A

mou

nt

Page 19: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

FBRM C35 Chord Length Distribution: 1% HPC

Page 20: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

FBRM C35 Chord Length Distribution: 3% HPC

Page 21: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

FBRM C35 Chord Length Distribution: 5% HPC

Page 22: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

ResultsParticle Size:

• Differences in the rate of granule growth with different concentrations of HPC

were evident in the FBRM measurement.

Shear:

• A high acquisition rate sensor that measures drag force on a thin cylindrical

pillar provided high resolution unipolar signal, i.e., the pillar did not oscillate but

deflect under an applied force and then quickly relaxed back into the equilibrium

position.

• Signal consisted of separate peaks, and their frequency generally synchronized

in time with blades passing below the sensor.

• The time-dependent periodic signal was clearly synchronized with the frequency

of blades passing the sensor, and included a number of peaks of variable

magnitude that may be interpreted as particle or granule impacts.

Page 23: Ajit S. Narang 1 , Brian Breza 1 , Kevin Macias 1 , Tim Stevens 1 ,

Conclusions

• The peak amplitudes were a function of the concentration of HPC used in the

batch.

• Basic statistical analysis of peak magnitudes suggested potential the

development of a procedure to quantitatively characterize such parameters of the

wet mass as densification, tackiness, and particle growth.

• The DFF sensor was able to capture anticipated differences in wet mass

consistency with different concentrations of binder.