2. 2
Talk points
ī§ Objectives of review of quality(CMC) data- reminder
ī§ Process validation, definition and current approaches
ī§ Role of dossier assessment in process validation
ī§ Risk assessment as part of process validation
ī§ Validation scheme: Monitoring and Sampling
ī§ Specific topics: Blend uniformity and validation of compression step
ī§ Process validation: other dosage forms
ī§ Process validation commitment
ī§ Retrospective validation
ī§ Summary: How to review protocol and report
3. 3
Reminder
ī§ Objectives of assessment of quality part
īTo provide the highest assurance that all production
batches (unit doses) will be consistently efficacious as the
clinical batch(es)
īTo reduce risk to safety via the highest assurance of
acceptable and consistent quality of the product and its
components
Process
validation
4. 4
Process validation
ī§The collection and evaluation of data, from the process
design stage through commercial production, which establishes
scientific evidence that a process is capable of consistently
delivering quality products. (FDA)
ī§Documented evidence which provides a high degree of
assurance that a specific process will consistently result in a
product that meets predetermined specifications and quality
characteristics. (WHO)
ī§The documented evidence that the process, operated
within established parameters, can perform effectively and
reproducibly to produce a medicinal product meeting its
predetermined specifications and quality attributes.(EMA)
5. 5
Process validation
Traditional vs new paradigm
Post
approval
changes/ch
ange
controls/risk
analysis
Development-
Basic
Process
validation- 3
batches
Pilot batch
manufacturing
Enhanced-
Development and
process
qualification
Control
Strategy
Continuous and
extensive monitoring
of CQAs and CPPs
for each production
batch
ICH Q9
and Q10
ICH Q8,
QbD
6. 6
Latest guidelines
FDA, January 2011 WHO, Revised Annex 7 of
WHO GMP guide (draft for
comment)
EMA, February 2014
Continuous process
verification (CPV)
Continuous process
verification (CPV)
Alternative approaches:
-Traditional approach
-Continuous process
verification
-Hybrid approach
Process design and Initial
validation (process
qualification- PPQ) are initial
phases of CPV
Process design and initial
validation (initial process
verification) are initial phases
of CPV
CPV protocol to be supported
by extensive development
information and lab or pilot
scale data. Executed on each
production batch
No mention of number of
batches for initial process
performance
qualification/validation (rather
must be justified based on
overall product and process
understanding)
Mentions data on at least
three pilot or production
batches collected as part of
process design
Number of batches specified
for traditional approach
- minimum of three production
batches unless other wise
justified
7. 7
Types of process validation and
dossier requirements
Prospective validation Concurrent validation Retrospective validation
Protocol reviewed and
accepted, Product PQD; OR
Protocol executed before
submission or PQ
Protocol reviewed and
accepted, Product PQD
Protocol does not need to
be submitted
Execute and finalize
process validation on the
first three production
batches
Execute and finalize
process validation on the
first three production
batches
Prepare product quality
review report on already
manufactured production
batches
Commercial batches to be
released only after
satisfactorily conclusion of
process validation on three
batches
Each validation batch can
be validated and released.
Applicable for low demand
products (such as NTDs,
orphan drugs or other
seasonal products)
Applicable for submissions
meeting criteria for
established products as
described in Annex 4, TRS
970
8. 8
Process validation- Role of assessment
Design
qualification
Operational
qualification
Performance
qualification
Process
validation
GMP
Dossier
9. 9
Process validation phases
Pre-validation
phase
Protocol
Preparation
Information from
product
development
studies
(identification of
critical attributes)
Information
from
primary/clinical
manufacturing
(scale up
information)
Process risk
assessment
information
(identification
of critical
steps)
Validation phase
Protocol execution
Post valdn phase:
Review of process,
deviations, failures,
need for
improvement,
scale up etcâĻ
Includes
demonstration of
content uniformity of
the clinical batch
10. 10
Risk assessment
ī§ Part of process development and protocol preparation
ī Risk matrix- usually as part of process development
âĸ Critical quality attributes (CQA) vs processing stages, e.g. dissolution vs
granulation
âĸ CQA vs critical process parameters, e.g., dissolution vs kneading time
ī Failure mode analysis- usually as part of process validation
ī§ To identify critical attributes, processes and parameters
ī Informed validation
ī§ To establish control strategy
11. 11
Example: risk matrix for low dose capsule (CQA vs
process stages)
 Sifting/sizing blending lubrication CapsuleÂ
filling
Assay Low Medium Medium Medium
ContentÂ
uniformity
High High High High
Dissolution Low Low High Low
Stability Low Low Low Low
12. 12
Process steps to be validated
ī§ All steps that are generally considered critical (medium and
high risk steps) should be monitored/scrutinized
ī by summarizing actual process parameters applied and observations
recorded
âĸ e.g. sifting stage, wet and dry granulation stages
ī observations serve as feedback for future refinement of process
parameters
ī§ In addition, where feasible, sampling and testing should be
performed
âĸ e.g. drying, mixing steps, compression, filling
âĸ results measure effectiveness and consistency of the immediate as
well as preceding steps- e.g. final blend characteristics are mainly
shaped by wet/dry granulation process
13. 13
Validation scheme- example
Processing steps Critical parameters Validation  scheme
Dispensing Weight checks Monitored
Sifting Mesh size Monitored
Wet Granulation and drying Amount and addition rate of
granulating agent, mixing speed,
time, as well as sequence of
events
Monitored, Drying uniformity to
be tested
Dry Granulation Slugging /compaction
parameters
Monitored only or Monitored and
sampled?
Blending mixing speed, time Monitored; Blend uniformity to be
established
Lubrication mixing speed, time Monitored; Blend uniformity from
mixer and bulk container
Compression Initial set up parameters,
speed, applied pressure,
Monitored; Several samples to
be sampled and tested for IPQC
parameters
Fluidized bed coating Spray rate, inlet and product
temp, etcâĻ
Monitored; appearance, weight
gain and full testing
Primary packaging, protocol
requested on case by case basis
Sealing temperature, speed Monitored; leak test
14. 14
Monitoring- Example:
Compaction
ī Any comment vis à vis the difference between BMR set range and actual
applied inputs?
BMRÂ SetÂ
parameters
 Batch 1 Batch 2 Batch 3
e.g. of
parameter
s
Cycle 1 Cycle 2 Cycle 1 Cycle 2 Cycle 1 Cycle 2
Roller
speed
(RPM)
8-15 10 10 10 10 10 10
Roller
pressure
(Bars)
40-60 41-42 42-43 41-43 41-42 41-42 41-43
Vertical
feed screw
(RPM)
50-100 75 75 75 75 75 75
Horizontal
feed screw
(RPM)
10-20 15 15 15 15 15 15
15. 15
Example: Monitoring and sampling:
Drying
Monitoring Set parameter Observation
Batch X Batch Y Batch Z
Inlet temperature 60+/-10o
C 62-65 52-63 52-60
Outlet temp 29-44 31-47 28-36
Total drying time
(min) (for
information)
65 65 80
Sampling andÂ
testing
Spec Batch X Batch Y Batch Z
Location 1 0.75-2.25% 1.54 1.53 1.70
Location 2 1.94 2.01 1.80
Location 3 2.03 1.30 2.05
Location 4 1.89 1.87 2.20
16. 16
Blend uniformity
ī§ Early check for content uniformity of the final dosage form
Uniform blend
with good flow
and
compressibility
characteristics
Compression with
optimum
conditions
Tablets meeting
criteria for
uniformity of
dosage units
Note: Blend uniformity is a routine test for low dose products (i.e.
active load <=5% or 5mg)
17. 17
Blend uniformity- Sampling
location and method
ī§ Sampling location -usually predetermined as part of qualification
of the mixer (i.e. mostly GMP issue)
ī But, in the dossier, we at least check if periphery, center positions and
various other positions are considered
ī Samples from each location are usually taken in triplicate
ī§ Samples should also be taken from the blend container- to
evaluate impact of transfer
ī important for low dose products and particularly for DC processed blend
ī§ Sampling should be done consistently and in away that does not
disturb the bulk blend state â such aspects (e.g. type of sampling
thief used) are better addressed at the time of inspection
18. 18
Blend uniformity- Sample size
ī§ What is an acceptable amount for samples taken at each location?
ī§ Normally 1-3 time of the FPP unit dose weight
C. Morten, PIAT programme, University of Manchester
19. 19
Blend uniformity- acceptance criteria
ī§ Commonly used criteria
ī Individual assays: 90.0-110.0% of label claim, RSD NMT 5.0%
ī§ Less common
ī Individual assays:90.0-110.0% of the mean value, RSD NMT 5.0%
âĸ In this case, setting mean = 95.0-105.0% of the label claim appears
reasonable
ī§ Rarely (in case of very low dose products)
ī Individual assays: 85.0-105.0% of the label claim/mean value, RSD: NMT
5.0%
ī May be acceptable provided that uniformity of dosage units is
satisfactorily demonstrated on tablets/capsules manufactured from
blend lot with close to limit blend uniformity results
20. 20
Sampling and testing plan- Lubrication- example
missing
parameter?
Do you agree with
the acceptance
criteria?
SampleÂ
location
Sample size SampleÂ
analysed
Tests AcceptanceÂ
limits
Lubrication 10 position
from
Octagonal
blender and
blend
container
850-2550mg
in triplicate
10 Individual
samples
Blend
uniformity
Mean: 95.0-
105.0%,
individual:
90-110%,
RSD: NMT
5%
Samples
from top,
middle and
bottom
50gm Composite
samples
Complete
analysis as
per routine
blend spec
As per blend
spec
Particle size
distribution,
bulk and
tapped
density
For
information
What are theÂ
minimum tests weÂ
expect to see inÂ
blend spec?
Acceptable?
21. 21
Compression
ī§ Good compression outcome is a measure of (it depends
on):-
īGranule/powder mix properties
âĸ bulk and tapped density-granulation
âĸ particle size and particle size distribution-granulation
âĸ moisture content- drying
âĸ extent of lubrication- lubrication time
īMachine and tooling attributes
âĸ appropriate selection and adequate lubrication of punches
and dye
âĸ machine speed
âĸ applied compression pressure
22. 22
Compression â Sampling frequency and size
ī§ depends on the length of the run time/
batch size
īwe expect frequent sampling than the normal IPQC
frequency
īthe number of tablets/capsules taken should be
greater than those taken during a normal IPQC
sampling
23. 23
Compression- Challenge studies
ī§ Certain variations in
compression speed and
hardness than the target set
points may happen
ī what would be the impact of such
variations?
ī speed affects dwell time- which
intern affects several tablet
parameters (thickness, hardness,
as well as weight variation)
ī§ Therefore, robustness should be
demonstrated
C. Morten, PIAT programme, University of Manchester
24. 24
Extensive sampling- example
(there are several other approaches)
IPQC testing schedule Normal production batch Validation batches
48 station machine, batch size of 170,000 tabs, target speed 25rpm
Group weight and
appearance, every 30
minutes; others every 1 hour
(at least 3 times)
About 300 tablets
About 300 tablets
All in process parameters at
start, middle and end of
compression (different
hopper fill levels)
-
About 360 tablets
Additional samples at high,
low speed; at high and low
hardness levels
- About 480 samples
Total number of tablets
sampled
300 tablets 1140 tablets
26. 26
Process validation-oral solutions
ī§ Validation focuses on
īmixing time and conditions to clear solution, if deemed
relevant
âĸ bulk liquids: pH, specific gravity, clarity of solutions;
assay
īfilling process
âĸ filled units:- Volume/Wt variation and as per FPP specs
ī§ Protocol with commitment is acceptable at the
time of review
27. 27
Process Validation- Oral suspensions
ī§ Focuses on
ī API micronization processes (if applicable)
ī colloidal milling process (as applicable),
ī homogenization
ī filling
âĸ Viscosity, fill volume/weight variation,
âĸ Other critical attribute that may be affected by filling process?
âĸ Other parameters as per FPP spec including, PSD, pH, dissolution,
ī§ Protocol with commitment is acceptable at the
time of review
28. 28
Process validation- sterile products
Products mfd by
Terminal sterilization
Products mfd by
Aseptic processing
Container and
component sterilization
and depyrogenation
- Depyrogenation by
tunnel depyrogenator
(e.g. ampoules) or
washing (e.g. rubber
stoppers, plastic
bottles)
- Depyrogenation by
washing- for stoppers,
seals, accessories*
- Validation of steam
sterilization â for
stoppers, seals,
accessories*
- Dry heat sterilization
and depyrogenation-
for glass vials or
ampoules*
29. 29
Process validation- sterile products-Contd
Products mfd by
Terminal sterilization
Products mfd by Aseptic
processing
Product sterilization Terminal sterilization by
Steam sterilization,
radiation or ETO (as
applicable)*
Filter validation (as part of
devât pharm)
Process simulation - Media fill
Full batch processing
(other aspects of the mfg
process, e.g. valdn of bulk
prepn, filling and sealing
quality)
3 production batches mfd
at proposed scale
3 production batches mfd
at proposed scale
(commitment may also be
accepted).
*validation should be on three runs to demonstrate reproducibility.
30. 30
Dissolution profile comparison with clinical/BE batch-
solids and suspensions (as part of process validation)
ī§ A good check point to verify performance relative
to the biobatch
īAll validation batches should be profiled in the routine
media on 12 units, using time points as used for
biobatch
īComparison with historical biobatch profile, with
calculation of f2 (as necessary), should be performed
and results discussed
ī§ Check if the protocol includes adequate
instruction/provision
31. 31
Matrixing/bracketing approach
ī§ Multiple strengths of same product (common
blend)
īuntil stages of final granules: 3 consecutive batches of the
common blend (instead of 3 separate blend batches for each
strength)
īcompression: 3 consecutive batches of each strength
ī§ Primary packaging of tablet/capsule products
īblistering of hygroscopic or moisture sensitive products
however should always be individually validated
32. 32
Process validation- commitment
ī§ As described in Annex 4, TRS 970, applicants
are not expected to have process validation
data before PQ
īIn this case satisfactory PV protocol (PVP) and
appropriately worded commitment are essential
īPVP or signed commitment letter should clearly
indicate the need for prospective validation as
finalized on three consecutive production batches,
unless other wise justified.
33. 33
Retrospective validation for established products
ī§ Generally acceptable if condition described in
Annex 4, TRS 970 (generic guide), are met.
ī§ Tries to demonstrate process effectiveness and
consistency via trend analysis:
īextent of deviations
īextent of OOS or OOT
īextent of batch rejection
īextent of product complains
īextent of changes/ improvements introduced
īSee Appendix 2 of Annex 4, TRS 970
34. 34
Review of protocol- main aspects to check
ī§ Scope of the validation (type, batch size, reason)- do they reflect the
planned validation? Highest batch size to be validated?
ī§ Major equipments identified (in line with BMR) and a provision for
recording their Q status included?
ī§ Reference to current master production record included?
ī§ Summary of critical steps identified? is this convincing ?
ī§ Monitoring and sampling plan provided?- Do you agree with the
steps monitored/sampled?
ī§ Sampling schedule, schematics, tests and acceptance criteria, as well
as current specification codes included ? Are these acceptable?
35. 35
Review of protocol- main aspects to check-contd
ī§ For solid orals: final blending, compression/encapsulation,
coating stages must be adequately sampled and tested. Are these
being reflected?
ī Blend uniformity: Sampling schemes and blend uniformity acceptance
criteria specified? Are these acceptable?
ī Compression/encapsulation at lower, target and upper speeds included?
ī§ Provision for performance of dissolution profile testing and
comparison with the biobatch included?
ī§ Appropriate commitment (prospective validation on first three
consecutive batches mentioned) provided?
ī§ Protocol reference and version number included in QIS?
36. 36
Review of validation report
ī§ Is the reported data relevant for the proposed manufacturing
process and scale
ī equipment used, process parameters applied
ī§ All critical steps adequately monitored/sampled?
ī§ Level of sampling and size are acceptable?
ī§ All results within acceptable limits? Particular trend?
ī§ Deviations appropriately evaluated and discussed?
ī§ Is the overall process in sufficient control? Is there any thing that
should be improved or refined for future production batches
Normally, the protocol should require validation of the BMR range, but once validation is executed either the BMR set up parameters should be revised to reflect the validated range or set point or new validation should be done.
i.e, in sigma process, the whole area within +/-3 of SD will be within spec limit, while in case of 4 sigma, +/4 SD of the curve area is within spec limit (and in this case Cpk is roughly equal to 1.33).