SlideShare a Scribd company logo
Introduction to Solid Dosage
Processing
Stages of pharmaceutical manufacturing
API
Excipients
Primary
Packaging
Secondary
Packaging
API Finished
Product
Starting Materials
(Chemicals)
Drug product manufacture
Dosage Form
Wet
granulation
milling
blending
Fluid Bed Dryer
lubrication
tableting
coating
imprinting
Process combines the drug and
excipients into the dosage form
Excipients
API
crystallization
filtration
oven drying
Dry granulation
/ milling
Direct
compression
Solid dosage processing
• Dosage forms
 Quality factors
• Excipients
• Particle properties
• Processing routes
• Unit operations
 Size reduction (milling)
 Blending
 Dry granulation (roll compaction)
 Wet granulation
 Drying
 Tablet compaction
 Coating
Solid dosage forms
• Oral
 Tablets
• Lozenges
• Chewable tablets
• Effervescent tablets
• Multi-layer tablets
• Modified release
 Capsules
• Hard gelatin
• Soft gelatin
 Powders
• Inhaled
 Aerosol
• Metered dose inhalers
• Dry powder inhalers
Singh, Naini (2002), Dosage Forms: Non-Parenteral, Encyclopedia of Pharmaceutical Technology
Quality factors for solid dosage forms
Functional quality factors
-Disintegrates to desired size quickly
-The constituent particle size of the dosage form should dissolve and be
absorbed in the GI tract at a pre-determined rate
Physical quality factors
-Must not break up on processing, packaging, transportation, dispensing
or handling
-Surface of tablet or capsule must be free of defects
-Must be stable under anticipated environmental conditions
-Have the same weight and composition for each tablet or capsule
Sensorial quality factors
-Easy and pleasant to swallow
Fung and Ng (2003), AIChE Journal, 49(5), 1193-1215
Models at different scales
Scale Subject Problems
Enterprise Business process Sourcing, contract
manufacturing, capacity planning
Plant Process synthesis, simulation,
development
Generation of process
alternatives, process optimization
Equipment Equipment selection,
performance, sizing, costing
Mixing, classification,
granulation, milling
Continuum Flow and handling of powders Granular flow
Particle Particle attributes: composition,
size distribution, density,
strength, shape
Interparticle forces, breakage
Molecule Enantiomers and polymorphs,
material properties
Polymorph prediction, prediction
of physical and chemical
properties
Ng (2002), Powder Technology, 126, 205-210
Product and process functions
• Product function
 Product property: Content uniformity, dissolution, flowability, dust
formation
 Particle Properties: Particle size, particle shape, surface
characteristics
• Process function
 Process parameters: Type of unit operation, operational
parameters
Product property = F(particle properties, formulation)
Particle properties = F(process parameters, raw material/intermediate properties)
Particle properties
Potential Impact
Processing Behavior
Product Quality Factors
Property Flow Blending Wetting Drying Mechanical Dissolution Stability
Particle Size X X X X X X X
Surface Area X X X X X X X
Particle Shape X
Surface Energy X X X
Bulk Density X X X
Pore Size X X X
Internal Friction X X
Wall Friction X X
Hygroscopicity X X X
Hlinak et al, Journal of Pharmaceutical Innovation, 1 (2006)
Product property = F(particle properties, formulation)
Mean particle size and flowability
Bodhmage, A. (2006). Correlation between physical properties and flowability indicators for fine powders. MS
Thesis, Department of Chemical Engineering, University of Saskatchewan.
Size distributions for various powders
Bodhmage, A. (2006). Correlation between physical properties and flowability indicators for fine powders. MS
Thesis, Department of Chemical Engineering, University of Saskatchewan.
Powder flow and tablet weight variations
Hancock, Bruno (2007). Dosage Form Specific Tests. Short course on Material Properties, Purdue University.
Excipients
• To aid in the processing of the drug delivery system during its
manufacture;
• To protect, support, or enhance stability, bioavailability or patient
acceptability;
• To assist in product identification;
• To enhance any other attribute of the overall safety, effectiveness,
or delivery of the drug during storage or use.
Excipients are substances, other than the active drug
substance, or finished dosage form, that have been
appropriately evaluated for safety and are included in
drug delivery systems:
USP, General Information Chapter <1078>, Good Manufacturing Practices for Bulk Pharmaceutical Excipients
Excipient functions
Component Function Examples
Fillers Increase size and weight of final
dosage form
Microcrystalline
cellulose, sucrose
Binders Promote particle aggregation Pregelatinized starch,
hydroxypropyl
methylcellulose
Disintegrants Promote break down of aggregates Sodium starch glycolate
Flow Aids Reduce interaction between particles Talc
Lubricants Reduce interactions between particles
and surfaces of processing equipment
Magnesium stearate
Surfactants Promotes wetting Sodium lauryl sulfate,
Polysorbate
Modified
Release
Agents
Influences the release of active Hydroxypropyl
methylcellulose,
Surelease,
Hlinak (2005)
Most popular excipients
• Magnesium stearate (lubricant)
• Lactose (compression aid)
• Microcrystalline cellulose
(compression aid)
• Starch (corn) (compression aid)
• Silicon dioxide (glidant)
• Stearic acid (lubricant)
• Sodium starch glycollate (disintegrant)
• Gelatin (binder)
• Talc (film coating adjuvant, glidant)
• Sucrose (sweetener, coating)
• Calcium stearate (lubricant)
• Povidone (binder)
• Pre-gelatinized starch (binder)
• Hydroxypropylmethylcellulose (film
coating, binder)
• OPA products (film coats and dyes)
• Crosscarmelose sodium (disintegrant)
• Hydroxypropylcellulose (binder, film
coating)
• Ethylcellulose (enteric coating)
• Dibasic calcium phosphate
(compression aid)
• Crospovidone (disintegrant)
• Shellac and Glaze (coating agent)
International pharmaceutical excipients council of the americas,
http://www.ipecamericas.org/public/faqs.html
Processing routes
Fill die
Coating, Packaging etc..
Compress Tablet
Direct Compression
Drug
Diluent
Glidant
Disintegrant
Lubricant Mixing
Mixing
Dry Granulation
Disintegrant
Glidant
Lubricant
Drug
Diluent
Lubricant
Mixing
Compression
Comminution
Screening
Mixing
Mixing
Wetting
Granulation
Drying
Screening
Mixing
Drug
Diluent
Binder
Solvent
Disintegrant
Glidant
Lubricant
Wet Granulation
Other Routes
Fluidized bed granulation
Extrusion / rotary granulation
Tablet
Compression
Unit operations
• Process function
 Process parameters: Type of unit operation, operational
parameters
• Type of unit operation
 Size reduction (Milling)
 Blending
 Dry granulation (Roll compaction)
 Wet granulation
 Drying
 Tablet compression
 Coating
Particle properties = F(process parameters, feed/intermediate properties)
Unit operations
• Size reduction (milling)
 Advantages and disadvantages
 Forces in milling
 Milling equipment (dry milling)
 Media mills (wet milling)
 Mill selection
 Energy requirements
Particle size reduction
• Mixing is more uniform if ingredients are roughly the same size
• Milling of wet granules can promote uniform and efficient drying
• Increased surface area can improve dissolution rate and
bioavailablity
• Improved content uniformity of dosage units
• Excessive heat generation can lead to degradation, change in
polymorphic form
• Increase in surface energy can lead to agglomeration
• May result in excessive production of fines or overly broad particle
size distribution
Benefits
Disadvantages
Forces in milling
• Shear (cutting forces)
• Compression (crushing
forces)
• Impact (high velocity
collision)
Griffith theory
• T = Tensile stress
• Y = Young’s modulus
• ε = Surface energy
• c = fault length
Y
T
c


Rumpf (1965), Chem Ing Tech, 37(3), 187-202
Milling equipment – screen mills
• Critical parameters for a conical screen mill
 Screen Hole Size/Shape
 Impeller Type
 Impeller Clearance
 Speed
• Evaluate impact on aspirin granulation
 Particle size reduction
 Milling time and energy requirements
 Overall milling performance
• Milling Work Index = Size reduction / Milling work
• Milling Time Index = Size reduction / Milling time
Byers, Peck (1990), Drug Dev Ind Pharm, 16(11), 1761-1779
Milling equipment – screen mills
• Screen hole size has largest impact on particle size
reduction, milling time and energy requirements
• Milling work index significantly lower for smaller screen
hole sizes
• Impeller type has largest effect on overall milling
performance
• Impeller clearance not significant at small clearances
• Milling work index lower at higher mill speeds
 Deflection of material away from screens
Byers, Peck (1990), Drug Dev Ind Pharm, 16(11), 1761-1779
Milling work index= Particle size reduction / Milling work
Milling equipment – impact mills
• Significant wear on surfaces
• Hammer mills
 Medium to coarse size reduction
 Peripheral speed 20-50 m/sec
• Pin mills
 Peripheral speed up to 200 m/sec
 Capable of fine grinding
 Can be used to mill sticky materials
Milling equipment – jet mill
• Superfine to colloid size reduction
• Can be used for heat sensitive products
• Different configurations
 Pancake (spiral) jet mill
• Fines exit from center
 Loop/oval jet mill
• Fines exit from top
 Opposing jet mills
• Particles impact each other in opposing jets
 Fluidized bed jet mill
• Particles are jetted towards center (low wear on equipment)
 Fixed/moving target jet mills
• Particles impact on surface of target (wear can be significant)
Milling equipment – stirred media mill
• Critical parameters
 Agitator speed
 Feed rate
 Size of beads
 Bead charge
 Density of beads
 Design of blades
 Mill chamber
 Residence time
Mill selection
Wibowo and Ng (1999), AIChE Journal 45 (8) 1629-1648
Energy based analysis – ball mill
• Macroscale energy-size relationships (Chen et al., 2004)
 Calculate specific energy for a given size reduction
 Functional form derived from theoretical considerations
 Rittinger’s model
• Energy required for particle size reduction is proportional to the area of new
surface created
 Kick’s model
• Energy required to break a particle is proportional to the ratio of the particle
volume before reduction to the volume after reduction
Chen et al. (2004), J Pharm Sci, 93(4), 113-132
1 1
P
R R
P F
m t
E C
W x x
 
  
 
 
ln
P F
K K
P
m t x
E C
W x
 
   
 
Energy based analysis – ball mill
Kick’s Law
High loading
Low frequency
Rolling attrition
Rittinger’s Law
Low loading
High frequency
Impact fragmentation
1
F
P
R
x
x
k t


exp( )
p F K
x x k t
 
Attrition
Fragmentation
Size Reduction of α–Lactose Monohydrate in a Ball Mill
Chen et al. (2004), J Pharm Sci, 93(4), 113-132
Unit operations
• Blending
 Blending equipment
 Impact of size difference
 Radial vs axial mixing
Blending – diffusion mixing
• Critical parameters
 Blender load
 Blender speed
 Blending time V-Blender
Cross Flow
Blender
Bin Blender
Double Cone
Blender
Blending – convective mixing
Ribbon Blenders Orbiting Screw Blenders
Planetary Blenders
Horizontal Double Arm Blenders
Forberg Blenders
Vertical High Intensity Mixers
Horizontal High Intensity Mixers
Diffusion Mixers with Intensifier/Agitator
Size difference and mixing uniformity
Campbell and Bauer (1966), Chem Eng, 73, 179
Mixing in a bin blender – axial mixing
Sudah et al. (2002), Powder Technology, 126, 191-200
Composition after 30 revolutions (10rpm, 60%fill, w/o baffle)
Mixing in a bin blender – radial mixing
Sudah et al. (2002), Powder Technology, 126, 191-200
Composition after 30 revolutions (10rpm, 60%fill, w/o baffle)
Unit operations
• Dry granulation (roll compaction)
 Critical parameters
 Johanson’s theory
 Feed system
 Impact of granulation on flow properties
• Wet granulation
 Monitoring liquid addition
• Drying
 Fluidised bed dryer
Roll compaction
• Critical parameters
 Roll speed and pressure
 Horizontal and vertical
feed speed, deaeration
 Roll diameter and
surface
• Advantages
 Improve powder flow
 Reduce segregation
potential
 No moisture addition,
drying
Johanson’s theory
Slip Region
Nip Region
Johanson’s theory
Slip region
Nip region
Yu et al. (2013), Chem Eng Sci, 86, 9-18
Compressibility
Eff. angle of friction Wall angle of friction
Johanson’s theory – nip angle
Bindhumadhavan et al. (2005), Chem Eng Sci, 60(14), 3891-3897
Johanson’s theory - stress profile
Bindhumadhavan et al. (2005), Chem Eng Sci, 60(14), 3891-3897
Eff. angle of friction and peak pressure
(Johanson’s theory)
Eff. Angle of
Friction
Eff. angle of friction and nip angle
(Johanson’s theory)
Eff. Angle of
Friction
Nip Angle
Effect of lubrication on friction properties
Yu et al. (2013), Chem Eng Sci, 86, 9-18
Effect of lubrication on peak roll pressure
Yu et al. (2013), Chem Eng Sci, 86, 9-18
Effect of lubrication on nip angle
Yu et al. (2013), Chem Eng Sci, 86, 9-18
Falzone et al. (1992), Drug Dev Ind Pharm, 18(4), 469-489
Avicel PH 101
Compressibility Mean particle size
Impact of feed and roll speed on granule properties
H
H
R
R
Impact of feed and roll speed on granule properties
Mean particle
size
Hydrous Lactose
H
H
Falzone et al. (1992), Drug Dev Ind Pharm, 18(4), 469-489
V
V
R=4 R=8
Effect of entrained air on feeding and discharging
Johanson (1989), Powder Bulk Eng, Februay, 43-46
Characterization of flowability
• Hausner ratio = tapped density / bulk density
 Excellent 1.05–1.10
 Good 1.11–1.15
 Fair 1.15–1.20
 Passable 1.21–1.25
 Poor 1.26–1.31
 Very Poor 1.32–1.37
 Extremely Poor 1.38–1.45
Roll compaction and flow properties
Soares et al. (2005), Dry granulation and compression of spray dried plant extracts, AAPS
PharmSciTech
Before
Compaction
(poor)
After
Compaction
(excellent)
High shear wet granulation
• Advantages
 Improve flow
 Improve uniformity
 Increase bulk density
 Enhance resistance to
segregation
• Critical parameters
 Amount of binder
 Rate of addition
 Time of granulation
 Speed
Mixer Blade
Bowl
Chopper Blade
Discharge
Wet granulation – monitoring liquid addition
Jorgensen et al. (2004), J Pharm Sci, 93(9), 2232-2243
(A) 0.24 ml/g
Impeller Torque for α–Lactose Monohydrate/MCC granulation
(C) 0.47 ml/g
agglomeration
(B) 0.36 ml/g
nucleation
(D) 0.53 ml/g
agglomerate growth
Wet granulation – monitoring liquid addition
Jorgensen et al. (2004), J Pharm Sci, 93(9), 2232-2243
(A) 0.24 ml/g
(1 min)
SEM of α–Lactose Monohydrate/MCC granules
(C) 0.47 ml/g
(2 min)
agglomeration
(B) 0.36 ml/g
(1.5 min)
nucleation
(D) 0.53 ml/g
(2.25 min)
agglomerate growth
bar = 500 μm
Fluid bed drying
Air Flow
Inlet Filter
Condensor
Steam
Damper
Damper Outlet Filter
Air Flow
Product
Temperature
Inlet
Temperature
Outlet
Temperature
From
Granulator
To Mill
Drying Zone
Filter Bag
Air Flow
Retaining
Screein
Unit operations
• Tablet compaction
 Relative density and compaction pressure
• Coating
 Objectives
 Critical parameters
Rotary tablet press
Relative density changes in manufacture of tablets
Hancock et al. (2004), Pharm Tech, April 2003, 64-80
Equivalence of tablets made with different presses
Hancock et al. (2004), Pharm Tech, April 2003, 64-80
Pan coating
• Benefits
 Mask taste
 Chemical barrier
 Controlled release
 Appearance
• Critical Parameters
 Air flow
 Spray
 Drum dynamics
• Rotational speed
• Fill fraction
Air+Moisture
Dry Air
Rotation
Baffle
Spray Nozzle
Air Flow
Inlet Filter
Steam
Inlet
Temperature
Inlet Air
Outlet Air
Outlet Filter
Outlet
Temperature
References
• Theory and Practice of Industrial Pharmacy, L.
Lachman et al. (eds) (1986).
• Handbook of Pharmaceutical Granulation
Technology, D. M. Parikh (ed), Marcel Dekker
(1997).
• Pharmaceutical Dosage Forms: Tablets, vol 2,
Marcel Dekker (1990).
• Encyclopedia of Pharmaceutical Technology,
Marcel Dekker (2003).
• Perry’s Chemical Engineers Handbook, 7th Ed.,
McGraw Hill (1997).

More Related Content

Similar to SolidDosageProcessing (1).ppt

Oral Soild Dosage - Tablet manufacturing flow
Oral Soild Dosage - Tablet manufacturing flowOral Soild Dosage - Tablet manufacturing flow
Oral Soild Dosage - Tablet manufacturing flow
Jhony Sheik
 
Size reduction
Size reductionSize reduction
Size reduction
shweta saboo
 
Size reduction ppt
Size reduction pptSize reduction ppt
Size reduction ppt
saroja adepawar
 
Pilot plant scale up for tablets
Pilot plant scale up for tabletsPilot plant scale up for tablets
Pilot plant scale up for tablets
Robin Gulati
 
Size Reduction
Size ReductionSize Reduction
Size Reduction
deepikabairagee
 
Shmmon ahmad manufacturing Process
Shmmon ahmad manufacturing ProcessShmmon ahmad manufacturing Process
Shmmon ahmad manufacturing Process
Shmmon AHMAD
 
Process Automation in Pharmaceutical Industry with specific reference to Man...
Process  Automation in Pharmaceutical Industry with specific reference to Man...Process  Automation in Pharmaceutical Industry with specific reference to Man...
Process Automation in Pharmaceutical Industry with specific reference to Man...
vaidehishah25
 
Sem 3 size reduction
Sem 3 size reductionSem 3 size reduction
Sem 3 size reduction
Yogeshwary Bhongade
 
pilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdf
pilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdfpilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdf
pilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdf
Vaibhavwagh48
 
Tablet and tablet press
Tablet and tablet pressTablet and tablet press
Tablet and tablet press
Johnny Aguilar Diaz, Ph.D.
 
Process plant engineering GLATT
Process plant engineering GLATTProcess plant engineering GLATT
Process plant engineering GLATT
Muhammad Saadullah
 
Large scale manufacture of suspension emulsion sb
Large scale manufacture of suspension emulsion sbLarge scale manufacture of suspension emulsion sb
Large scale manufacture of suspension emulsion sb
Mirza Salman Baig
 
Tablet manufacturing process created by Asadulla Mulla
Tablet manufacturing process created by Asadulla MullaTablet manufacturing process created by Asadulla Mulla
Tablet manufacturing process created by Asadulla Mulla
Asad Mulla
 
ASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptx
ASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptxASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptx
ASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptx
Mewar University
 
SPHERONIZERS AND MARUMERISERS
SPHERONIZERS AND MARUMERISERSSPHERONIZERS AND MARUMERISERS
SPHERONIZERS AND MARUMERISERS
ShreyasReddy42
 
CMA-CPP-CQA for oral solid dosageform
CMA-CPP-CQA for oral solid dosageformCMA-CPP-CQA for oral solid dosageform
CMA-CPP-CQA for oral solid dosageform
Guru Balaji .S
 
Information about grinder machine according to RSBK.
Information about grinder machine according to RSBK.Information about grinder machine according to RSBK.
Information about grinder machine according to RSBK.
SmitgiriGauswami
 
MICROMERITICS & PRECIPITATION
MICROMERITICS & PRECIPITATIONMICROMERITICS & PRECIPITATION
MICROMERITICS & PRECIPITATION
Asra Hameed
 
All about Tablets (Pharma)
All about Tablets  (Pharma)All about Tablets  (Pharma)
All about Tablets (Pharma)
Sathish Vemula
 
Pulverization and its application to pigment industry for
Pulverization and its application to pigment industry forPulverization and its application to pigment industry for
Pulverization and its application to pigment industry for
ABDUL VAHID M
 

Similar to SolidDosageProcessing (1).ppt (20)

Oral Soild Dosage - Tablet manufacturing flow
Oral Soild Dosage - Tablet manufacturing flowOral Soild Dosage - Tablet manufacturing flow
Oral Soild Dosage - Tablet manufacturing flow
 
Size reduction
Size reductionSize reduction
Size reduction
 
Size reduction ppt
Size reduction pptSize reduction ppt
Size reduction ppt
 
Pilot plant scale up for tablets
Pilot plant scale up for tabletsPilot plant scale up for tablets
Pilot plant scale up for tablets
 
Size Reduction
Size ReductionSize Reduction
Size Reduction
 
Shmmon ahmad manufacturing Process
Shmmon ahmad manufacturing ProcessShmmon ahmad manufacturing Process
Shmmon ahmad manufacturing Process
 
Process Automation in Pharmaceutical Industry with specific reference to Man...
Process  Automation in Pharmaceutical Industry with specific reference to Man...Process  Automation in Pharmaceutical Industry with specific reference to Man...
Process Automation in Pharmaceutical Industry with specific reference to Man...
 
Sem 3 size reduction
Sem 3 size reductionSem 3 size reduction
Sem 3 size reduction
 
pilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdf
pilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdfpilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdf
pilotplantdesignfortabletsandcapsules-140930004246-phpapp01 (1).pdf
 
Tablet and tablet press
Tablet and tablet pressTablet and tablet press
Tablet and tablet press
 
Process plant engineering GLATT
Process plant engineering GLATTProcess plant engineering GLATT
Process plant engineering GLATT
 
Large scale manufacture of suspension emulsion sb
Large scale manufacture of suspension emulsion sbLarge scale manufacture of suspension emulsion sb
Large scale manufacture of suspension emulsion sb
 
Tablet manufacturing process created by Asadulla Mulla
Tablet manufacturing process created by Asadulla MullaTablet manufacturing process created by Asadulla Mulla
Tablet manufacturing process created by Asadulla Mulla
 
ASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptx
ASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptxASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptx
ASAD REZA INDUSTRIAL TRAINING PRESENTATION (2).pptx
 
SPHERONIZERS AND MARUMERISERS
SPHERONIZERS AND MARUMERISERSSPHERONIZERS AND MARUMERISERS
SPHERONIZERS AND MARUMERISERS
 
CMA-CPP-CQA for oral solid dosageform
CMA-CPP-CQA for oral solid dosageformCMA-CPP-CQA for oral solid dosageform
CMA-CPP-CQA for oral solid dosageform
 
Information about grinder machine according to RSBK.
Information about grinder machine according to RSBK.Information about grinder machine according to RSBK.
Information about grinder machine according to RSBK.
 
MICROMERITICS & PRECIPITATION
MICROMERITICS & PRECIPITATIONMICROMERITICS & PRECIPITATION
MICROMERITICS & PRECIPITATION
 
All about Tablets (Pharma)
All about Tablets  (Pharma)All about Tablets  (Pharma)
All about Tablets (Pharma)
 
Pulverization and its application to pigment industry for
Pulverization and its application to pigment industry forPulverization and its application to pigment industry for
Pulverization and its application to pigment industry for
 

Recently uploaded

john krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptxjohn krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptx
Madan Karki
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
abbyasa1014
 
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
bijceesjournal
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
171ticu
 
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
sachin chaurasia
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
21UME003TUSHARDEB
 
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptxAI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
architagupta876
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
jpsjournal1
 
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
IJECEIAES
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
Mahmoud Morsy
 
Transformers design and coooling methods
Transformers design and coooling methodsTransformers design and coooling methods
Transformers design and coooling methods
Roger Rozario
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
co23btech11018
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Prakhyath Rai
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
Victor Morales
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
kandramariana6
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
IJECEIAES
 
Material for memory and display system h
Material for memory and display system hMaterial for memory and display system h
Material for memory and display system h
gowrishankartb2005
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
171ticu
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
KrishnaveniKrishnara1
 

Recently uploaded (20)

john krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptxjohn krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptx
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
 
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
 
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
 
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptxAI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
 
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
 
Transformers design and coooling methods
Transformers design and coooling methodsTransformers design and coooling methods
Transformers design and coooling methods
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
 
Material for memory and display system h
Material for memory and display system hMaterial for memory and display system h
Material for memory and display system h
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
 

SolidDosageProcessing (1).ppt

  • 1. Introduction to Solid Dosage Processing
  • 2. Stages of pharmaceutical manufacturing API Excipients Primary Packaging Secondary Packaging API Finished Product Starting Materials (Chemicals)
  • 3. Drug product manufacture Dosage Form Wet granulation milling blending Fluid Bed Dryer lubrication tableting coating imprinting Process combines the drug and excipients into the dosage form Excipients API crystallization filtration oven drying Dry granulation / milling Direct compression
  • 4. Solid dosage processing • Dosage forms  Quality factors • Excipients • Particle properties • Processing routes • Unit operations  Size reduction (milling)  Blending  Dry granulation (roll compaction)  Wet granulation  Drying  Tablet compaction  Coating
  • 5. Solid dosage forms • Oral  Tablets • Lozenges • Chewable tablets • Effervescent tablets • Multi-layer tablets • Modified release  Capsules • Hard gelatin • Soft gelatin  Powders • Inhaled  Aerosol • Metered dose inhalers • Dry powder inhalers Singh, Naini (2002), Dosage Forms: Non-Parenteral, Encyclopedia of Pharmaceutical Technology
  • 6. Quality factors for solid dosage forms Functional quality factors -Disintegrates to desired size quickly -The constituent particle size of the dosage form should dissolve and be absorbed in the GI tract at a pre-determined rate Physical quality factors -Must not break up on processing, packaging, transportation, dispensing or handling -Surface of tablet or capsule must be free of defects -Must be stable under anticipated environmental conditions -Have the same weight and composition for each tablet or capsule Sensorial quality factors -Easy and pleasant to swallow Fung and Ng (2003), AIChE Journal, 49(5), 1193-1215
  • 7. Models at different scales Scale Subject Problems Enterprise Business process Sourcing, contract manufacturing, capacity planning Plant Process synthesis, simulation, development Generation of process alternatives, process optimization Equipment Equipment selection, performance, sizing, costing Mixing, classification, granulation, milling Continuum Flow and handling of powders Granular flow Particle Particle attributes: composition, size distribution, density, strength, shape Interparticle forces, breakage Molecule Enantiomers and polymorphs, material properties Polymorph prediction, prediction of physical and chemical properties Ng (2002), Powder Technology, 126, 205-210
  • 8. Product and process functions • Product function  Product property: Content uniformity, dissolution, flowability, dust formation  Particle Properties: Particle size, particle shape, surface characteristics • Process function  Process parameters: Type of unit operation, operational parameters Product property = F(particle properties, formulation) Particle properties = F(process parameters, raw material/intermediate properties)
  • 9. Particle properties Potential Impact Processing Behavior Product Quality Factors Property Flow Blending Wetting Drying Mechanical Dissolution Stability Particle Size X X X X X X X Surface Area X X X X X X X Particle Shape X Surface Energy X X X Bulk Density X X X Pore Size X X X Internal Friction X X Wall Friction X X Hygroscopicity X X X Hlinak et al, Journal of Pharmaceutical Innovation, 1 (2006) Product property = F(particle properties, formulation)
  • 10. Mean particle size and flowability Bodhmage, A. (2006). Correlation between physical properties and flowability indicators for fine powders. MS Thesis, Department of Chemical Engineering, University of Saskatchewan.
  • 11. Size distributions for various powders Bodhmage, A. (2006). Correlation between physical properties and flowability indicators for fine powders. MS Thesis, Department of Chemical Engineering, University of Saskatchewan.
  • 12. Powder flow and tablet weight variations Hancock, Bruno (2007). Dosage Form Specific Tests. Short course on Material Properties, Purdue University.
  • 13. Excipients • To aid in the processing of the drug delivery system during its manufacture; • To protect, support, or enhance stability, bioavailability or patient acceptability; • To assist in product identification; • To enhance any other attribute of the overall safety, effectiveness, or delivery of the drug during storage or use. Excipients are substances, other than the active drug substance, or finished dosage form, that have been appropriately evaluated for safety and are included in drug delivery systems: USP, General Information Chapter <1078>, Good Manufacturing Practices for Bulk Pharmaceutical Excipients
  • 14. Excipient functions Component Function Examples Fillers Increase size and weight of final dosage form Microcrystalline cellulose, sucrose Binders Promote particle aggregation Pregelatinized starch, hydroxypropyl methylcellulose Disintegrants Promote break down of aggregates Sodium starch glycolate Flow Aids Reduce interaction between particles Talc Lubricants Reduce interactions between particles and surfaces of processing equipment Magnesium stearate Surfactants Promotes wetting Sodium lauryl sulfate, Polysorbate Modified Release Agents Influences the release of active Hydroxypropyl methylcellulose, Surelease, Hlinak (2005)
  • 15. Most popular excipients • Magnesium stearate (lubricant) • Lactose (compression aid) • Microcrystalline cellulose (compression aid) • Starch (corn) (compression aid) • Silicon dioxide (glidant) • Stearic acid (lubricant) • Sodium starch glycollate (disintegrant) • Gelatin (binder) • Talc (film coating adjuvant, glidant) • Sucrose (sweetener, coating) • Calcium stearate (lubricant) • Povidone (binder) • Pre-gelatinized starch (binder) • Hydroxypropylmethylcellulose (film coating, binder) • OPA products (film coats and dyes) • Crosscarmelose sodium (disintegrant) • Hydroxypropylcellulose (binder, film coating) • Ethylcellulose (enteric coating) • Dibasic calcium phosphate (compression aid) • Crospovidone (disintegrant) • Shellac and Glaze (coating agent) International pharmaceutical excipients council of the americas, http://www.ipecamericas.org/public/faqs.html
  • 16. Processing routes Fill die Coating, Packaging etc.. Compress Tablet Direct Compression Drug Diluent Glidant Disintegrant Lubricant Mixing Mixing Dry Granulation Disintegrant Glidant Lubricant Drug Diluent Lubricant Mixing Compression Comminution Screening Mixing Mixing Wetting Granulation Drying Screening Mixing Drug Diluent Binder Solvent Disintegrant Glidant Lubricant Wet Granulation Other Routes Fluidized bed granulation Extrusion / rotary granulation Tablet Compression
  • 17. Unit operations • Process function  Process parameters: Type of unit operation, operational parameters • Type of unit operation  Size reduction (Milling)  Blending  Dry granulation (Roll compaction)  Wet granulation  Drying  Tablet compression  Coating Particle properties = F(process parameters, feed/intermediate properties)
  • 18. Unit operations • Size reduction (milling)  Advantages and disadvantages  Forces in milling  Milling equipment (dry milling)  Media mills (wet milling)  Mill selection  Energy requirements
  • 19. Particle size reduction • Mixing is more uniform if ingredients are roughly the same size • Milling of wet granules can promote uniform and efficient drying • Increased surface area can improve dissolution rate and bioavailablity • Improved content uniformity of dosage units • Excessive heat generation can lead to degradation, change in polymorphic form • Increase in surface energy can lead to agglomeration • May result in excessive production of fines or overly broad particle size distribution Benefits Disadvantages
  • 20. Forces in milling • Shear (cutting forces) • Compression (crushing forces) • Impact (high velocity collision) Griffith theory • T = Tensile stress • Y = Young’s modulus • ε = Surface energy • c = fault length Y T c   Rumpf (1965), Chem Ing Tech, 37(3), 187-202
  • 21. Milling equipment – screen mills • Critical parameters for a conical screen mill  Screen Hole Size/Shape  Impeller Type  Impeller Clearance  Speed • Evaluate impact on aspirin granulation  Particle size reduction  Milling time and energy requirements  Overall milling performance • Milling Work Index = Size reduction / Milling work • Milling Time Index = Size reduction / Milling time Byers, Peck (1990), Drug Dev Ind Pharm, 16(11), 1761-1779
  • 22. Milling equipment – screen mills • Screen hole size has largest impact on particle size reduction, milling time and energy requirements • Milling work index significantly lower for smaller screen hole sizes • Impeller type has largest effect on overall milling performance • Impeller clearance not significant at small clearances • Milling work index lower at higher mill speeds  Deflection of material away from screens Byers, Peck (1990), Drug Dev Ind Pharm, 16(11), 1761-1779 Milling work index= Particle size reduction / Milling work
  • 23. Milling equipment – impact mills • Significant wear on surfaces • Hammer mills  Medium to coarse size reduction  Peripheral speed 20-50 m/sec • Pin mills  Peripheral speed up to 200 m/sec  Capable of fine grinding  Can be used to mill sticky materials
  • 24. Milling equipment – jet mill • Superfine to colloid size reduction • Can be used for heat sensitive products • Different configurations  Pancake (spiral) jet mill • Fines exit from center  Loop/oval jet mill • Fines exit from top  Opposing jet mills • Particles impact each other in opposing jets  Fluidized bed jet mill • Particles are jetted towards center (low wear on equipment)  Fixed/moving target jet mills • Particles impact on surface of target (wear can be significant)
  • 25. Milling equipment – stirred media mill • Critical parameters  Agitator speed  Feed rate  Size of beads  Bead charge  Density of beads  Design of blades  Mill chamber  Residence time
  • 26. Mill selection Wibowo and Ng (1999), AIChE Journal 45 (8) 1629-1648
  • 27. Energy based analysis – ball mill • Macroscale energy-size relationships (Chen et al., 2004)  Calculate specific energy for a given size reduction  Functional form derived from theoretical considerations  Rittinger’s model • Energy required for particle size reduction is proportional to the area of new surface created  Kick’s model • Energy required to break a particle is proportional to the ratio of the particle volume before reduction to the volume after reduction Chen et al. (2004), J Pharm Sci, 93(4), 113-132 1 1 P R R P F m t E C W x x          ln P F K K P m t x E C W x        
  • 28. Energy based analysis – ball mill Kick’s Law High loading Low frequency Rolling attrition Rittinger’s Law Low loading High frequency Impact fragmentation 1 F P R x x k t   exp( ) p F K x x k t   Attrition Fragmentation Size Reduction of α–Lactose Monohydrate in a Ball Mill Chen et al. (2004), J Pharm Sci, 93(4), 113-132
  • 29. Unit operations • Blending  Blending equipment  Impact of size difference  Radial vs axial mixing
  • 30. Blending – diffusion mixing • Critical parameters  Blender load  Blender speed  Blending time V-Blender Cross Flow Blender Bin Blender Double Cone Blender
  • 31. Blending – convective mixing Ribbon Blenders Orbiting Screw Blenders Planetary Blenders Horizontal Double Arm Blenders Forberg Blenders Vertical High Intensity Mixers Horizontal High Intensity Mixers Diffusion Mixers with Intensifier/Agitator
  • 32. Size difference and mixing uniformity Campbell and Bauer (1966), Chem Eng, 73, 179
  • 33. Mixing in a bin blender – axial mixing Sudah et al. (2002), Powder Technology, 126, 191-200 Composition after 30 revolutions (10rpm, 60%fill, w/o baffle)
  • 34. Mixing in a bin blender – radial mixing Sudah et al. (2002), Powder Technology, 126, 191-200 Composition after 30 revolutions (10rpm, 60%fill, w/o baffle)
  • 35. Unit operations • Dry granulation (roll compaction)  Critical parameters  Johanson’s theory  Feed system  Impact of granulation on flow properties • Wet granulation  Monitoring liquid addition • Drying  Fluidised bed dryer
  • 36. Roll compaction • Critical parameters  Roll speed and pressure  Horizontal and vertical feed speed, deaeration  Roll diameter and surface • Advantages  Improve powder flow  Reduce segregation potential  No moisture addition, drying
  • 38. Johanson’s theory Slip region Nip region Yu et al. (2013), Chem Eng Sci, 86, 9-18 Compressibility Eff. angle of friction Wall angle of friction
  • 39. Johanson’s theory – nip angle Bindhumadhavan et al. (2005), Chem Eng Sci, 60(14), 3891-3897
  • 40. Johanson’s theory - stress profile Bindhumadhavan et al. (2005), Chem Eng Sci, 60(14), 3891-3897
  • 41. Eff. angle of friction and peak pressure (Johanson’s theory) Eff. Angle of Friction
  • 42. Eff. angle of friction and nip angle (Johanson’s theory) Eff. Angle of Friction Nip Angle
  • 43. Effect of lubrication on friction properties Yu et al. (2013), Chem Eng Sci, 86, 9-18
  • 44. Effect of lubrication on peak roll pressure Yu et al. (2013), Chem Eng Sci, 86, 9-18
  • 45. Effect of lubrication on nip angle Yu et al. (2013), Chem Eng Sci, 86, 9-18
  • 46. Falzone et al. (1992), Drug Dev Ind Pharm, 18(4), 469-489 Avicel PH 101 Compressibility Mean particle size Impact of feed and roll speed on granule properties H H R R
  • 47. Impact of feed and roll speed on granule properties Mean particle size Hydrous Lactose H H Falzone et al. (1992), Drug Dev Ind Pharm, 18(4), 469-489 V V R=4 R=8
  • 48. Effect of entrained air on feeding and discharging Johanson (1989), Powder Bulk Eng, Februay, 43-46
  • 49. Characterization of flowability • Hausner ratio = tapped density / bulk density  Excellent 1.05–1.10  Good 1.11–1.15  Fair 1.15–1.20  Passable 1.21–1.25  Poor 1.26–1.31  Very Poor 1.32–1.37  Extremely Poor 1.38–1.45
  • 50. Roll compaction and flow properties Soares et al. (2005), Dry granulation and compression of spray dried plant extracts, AAPS PharmSciTech Before Compaction (poor) After Compaction (excellent)
  • 51. High shear wet granulation • Advantages  Improve flow  Improve uniformity  Increase bulk density  Enhance resistance to segregation • Critical parameters  Amount of binder  Rate of addition  Time of granulation  Speed Mixer Blade Bowl Chopper Blade Discharge
  • 52. Wet granulation – monitoring liquid addition Jorgensen et al. (2004), J Pharm Sci, 93(9), 2232-2243 (A) 0.24 ml/g Impeller Torque for α–Lactose Monohydrate/MCC granulation (C) 0.47 ml/g agglomeration (B) 0.36 ml/g nucleation (D) 0.53 ml/g agglomerate growth
  • 53. Wet granulation – monitoring liquid addition Jorgensen et al. (2004), J Pharm Sci, 93(9), 2232-2243 (A) 0.24 ml/g (1 min) SEM of α–Lactose Monohydrate/MCC granules (C) 0.47 ml/g (2 min) agglomeration (B) 0.36 ml/g (1.5 min) nucleation (D) 0.53 ml/g (2.25 min) agglomerate growth bar = 500 μm
  • 54. Fluid bed drying Air Flow Inlet Filter Condensor Steam Damper Damper Outlet Filter Air Flow Product Temperature Inlet Temperature Outlet Temperature From Granulator To Mill Drying Zone Filter Bag Air Flow Retaining Screein
  • 55. Unit operations • Tablet compaction  Relative density and compaction pressure • Coating  Objectives  Critical parameters
  • 57. Relative density changes in manufacture of tablets Hancock et al. (2004), Pharm Tech, April 2003, 64-80
  • 58. Equivalence of tablets made with different presses Hancock et al. (2004), Pharm Tech, April 2003, 64-80
  • 59. Pan coating • Benefits  Mask taste  Chemical barrier  Controlled release  Appearance • Critical Parameters  Air flow  Spray  Drum dynamics • Rotational speed • Fill fraction Air+Moisture Dry Air Rotation Baffle Spray Nozzle Air Flow Inlet Filter Steam Inlet Temperature Inlet Air Outlet Air Outlet Filter Outlet Temperature
  • 60. References • Theory and Practice of Industrial Pharmacy, L. Lachman et al. (eds) (1986). • Handbook of Pharmaceutical Granulation Technology, D. M. Parikh (ed), Marcel Dekker (1997). • Pharmaceutical Dosage Forms: Tablets, vol 2, Marcel Dekker (1990). • Encyclopedia of Pharmaceutical Technology, Marcel Dekker (2003). • Perry’s Chemical Engineers Handbook, 7th Ed., McGraw Hill (1997).