2013-09-18 usp stability 2 procedures
DESCRIPTION
USPTRANSCRIPT
II. Developing Stability I di ti T t M th dIndicating Test Methods
Critical Stability Systems
Regulations ProceduresRegulations(I)
Procedures(II)
Stability Systems
Operations(III)
Investigations(IV)
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Discussion Topics
2. Stability Indicating Test Procedures
Impact of analytical testing in the drug developmentImpact of analytical testing in the drug development process.
Review ICH Q2 A&B guidelines for methodReview ICH Q2 A&B guidelines for method development/validation.
Discuss Q3 for impurities monitoringDiscuss Q3 for impurities monitoring
How to develop stability-indicating test methods
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Pharmacopoeia Monographs
• All compendial testing for API and drug product properties that are dependent on the manufacturing process should be validated or verified (e.g. process impurities, particle size, residual solvents, dissolution, p , p , , ,uniformity).
• For drug products, lack of interference from the placebo should be demonstrated. (Verification)
• If the procedure is implemented exactly according to th h lid ti i i d l llthe monograph, no validation is required legally.
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Pharmacopoeia Monographs
•If the procedure is not stability-indicating, then an lt t t bilit i di ti d h ld balternate stability-indicating procedure should be
validated. • In the U S USP procedures are considered to be fully. In the U.S., USP procedures are considered to be fully validated; however, cGMP requires that individual laboratories demonstrate their ability to reliably execute the procedure.the procedure.
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Definitions of Validation: USP
USP chapter <1225>:
“Validation of an analytical procedure is the process byValidation of an analytical procedure is the process by which it is established, by laboratory studies, that the performance characteristics of the procedure meet the requirements for the intended analytical applications.”
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Definitions of Validation: ICH
Q2(R1) VALIDATION OF ANALYTICAL PROCEDURES: TEXT AND METHODOLOGY
“The objective of validation of an analytical procedure is to demonstrate that it is suitable for its intended purpose ”purpose.
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Subpart I – Laboratory Controls
• Sec 211.160 General Requirements– Establishment (and change) of specs, standards,
sampling plans test procedures is requiredsampling plans, test procedures is required.– Must be followed and documented at time of
performance– Deviation must be recorded and justified.
• Sec 211 165 Testing and Release for distributionSec 211.165 Testing and Release for distribution– Conforms to specifications– Free of objectionable microorganisms– Sampling and testing plans are described in written
procedures– Must have acceptance criteria
8
Must have acceptance criteria– Validation must be done and written according to
211.194
Definitions of Validation: ICH
Q2(R1) VALIDATION OF ANALYTICAL PROCEDURES: TEXT AND METHODOLOGYPROCEDURES: TEXT AND METHODOLOGY
“The objective of validation of an analytical procedure is to demonstrate that it is suitable for its intended purpose.”
Guidance for Industry: Analytical Procedures and Methods Validation CMC Documentation:“M th d lid ti i th f“Methods validation is the process of
demonstrating that analytical procedures are suitable for their intended use”
9
A Recurring Theme for Validation
A basic theme for the definitions of validation indicates that validation pertains to demonstrating that the
th d imethod or process is
“…suitable for its intended use”
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Critical First Step for Validation
It is essential that the purpose of the method to beIt is essential that the purpose of the method to be validated is clearly stated at the outset of the validation process.
As per ICH Q2(R1):
“The objective of the analytical procedure should be clearly understood since this will govern the validation characteristics which need to be evaluated ”characteristics which need to be evaluated.
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Statement of Validation Conditions
It is also appropriate that the conditions are provided under which the validation was performed. If conditions are found that mitigate against using the method, they should be i di t dindicated.
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Statement of Validation Conditions
From the section on robustness, ICH Q2(R1):
“If measurements are susceptible to variations in analytical conditions, the analytical conditions should be suitably controlled or a precautionary statement should be includedcontrolled or a precautionary statement should be included in the procedure. One consequence of the evaluation of robustness should be that a series of system suitability parameters (e g resolution test) is established to ensureparameters (e.g., resolution test) is established to ensure that the validity of the analytical procedure is maintained whenever used.”
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Regulatory Requirements
Section 211.166(a)(3) requires that stability test
methods be reliable meaningful and specific whichmethods be reliable, meaningful, and specific, which
means that the content of active ingredient, degradation
products, and other components of interest in a drug
product can be accurately measured without
interference, often called "stability-indicating.“
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ICH Guidelines
Q1AR2…”The testing should cover, as appropriate, the physical, chemical, biological and microbiological tt ib t ti t t d f ti lit t tattributes, preservative content, and functionality tests
(e.g for a dose delivery system). Analytical procedures should be fully validated and stability indicating.”
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ICH Guidelines
Q2A… “Validated analytical procedures should be used, irrespective of whether they are for in-process, release, acceptance, or stability testing”.
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ICH Guidelines
Q3B: “Analytical methods should be validated to demonstrate that impurities unique to the new drug substance do not interfere with or are separated from pspecified and unspecified degradation products in the drug product.”
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Regulatory Requirements
FDA Draft Stability Guidance -- 1998
“…Validated quantitative analytical methods that can d t t th h ith ti i th h i l h i ldetect the changes with time in the chemical, physical, or microbiological properties of the drug substance and drug product, and that are specific so that the contents of active ingredients degradation products and otherof active ingredients, degradation products, and other components of interest can be accurately measured without interferences.”
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Q2B: Methodology
Main objective is to demonstrate the procedure is suitable for its intended purpose.
Provides recommendations on how to consider the various validation characteristics for each of the 4various validation characteristics for each of the 4 analytical procedures specified in Q2A.– Identification test– Impurities (quantitative & limit)– Assay/Dissolution– Specific Tests– Specific Tests
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Q2A: Analytical Procedures and Method Validation – August 2000 NON COMPENDIAL ANALYTICAL METHOD
Types of Procedures
ICH:
Finding and Recognizing the Tests
1. Identification tests2. Quantitative tests for impurities' content3 Limit tests for the control of impurities3. Limit tests for the control of impurities4. Quantitative tests of the active moiety in drug substance
or drug product or other selected component(s) in the drug product.
USP:Category 1: Like ICH 4Category 2: Like ICH 2,3Categor 3 Performance tests like dissol tionCategory 3: Performance tests like dissolutionCategory 4: Like ICH 1
Validation Characteristics
ICH:
The Characteristics are the Same
ICH:Accuracy Precision (repeatability
USP:Accuracy Precision (repeatability,
intermediate precision, and reproducibility )
yPrecisionSpecificity Detection LimitSpecificity
Detection Limit Quantitation Limit
Detection Limit Quantitation Limit Linearity RQuantitation Limit
Linearity Range
Range
Range
<1225> Validation of Compendial Procedures
Performance Characteristic
Category I Category II Category III Category IV
Quant Limit Test
Accuracy
Yes
Yes
*
*
No
Precision Yes Yes No Yes No
Specificity Yes Yes Yes * Yes
LOD No No Yes * No
LOQ No Yes No * No
Linearity Yes Yes No * No
Range Yes Yes * * No
23* May be required, depending on the nature of the specific test
Validation Characteristics
SPECIFICITYACCURACYLINEARITYLINEARITYRANGE
PRECISIONPRECISIONRepeatabilityIntermediate PrecisionPrecisionReproducibility
DETECTION LIMITDETECTION LIMITQUANTITATION LIMIT
ROBUSTNESS
24
ROBUSTNESS
Q1A(R) - Drug Substance --Stress Testing
• Stress testing is required– To understand the drug substance stability– To establish degradation pathways – To validate the stability indicating power of the
analytical procedures usedanalytical procedures used. – To support the severe conditions that may be
encountered during distribution.
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Specificity
Q2A: “Stress studies (e.g. products of acid and base hydrolysis, thermal degradation, photolysis, oxidation) for the drug substance and for the active ingredient in g gthe drug product should be provided to demonstrate the specificity of the assay and analytical procedures for impurities. “
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Specificity
Goals– Generate typical degradation products which may be
expected on stability at sufficient levels to allowexpected on stability at sufficient levels to allow identification
– Avoid secondary degradation– Target range is 5-20 % loss of active as judged byTarget range is 5 20 % loss of active as judged by
assay relative to an undegraded sample– Look for purity and mass balance
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Typical Forced Degradation Design
Drug Substance• Solid State:
Drug Product:– Heat
– Heat– Photostability
Humidity
– Photostability– Humidity– Using placebo as control– Humidity
• Solution State: d di
Using placebo as control
• For combination product (multiple activedepending on
solubility– Acid
(multiple active ingredients)– Stress should be done for
API i di id ll d l– Base– Peroxide– Photostability
API individually and also in the presence of the other API (s).
28
Photostability
Evaluate Method Specificity with Stressed Samples
Are any of the degradants co-eluting/interferencing?
Determine the purity of the major analyte peakp y j y p
Direct Evaluation of peak purity (PDA vs MS)
Indirect Evaluation of peak purityIndirect Evaluation of peak purity
Spike in known degradation products (if available)
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Example : System Suitability Sample
For impurity method of drug product with two API’s containing spiked standards
0.006 A)
B)
1.00
0.005 AP
I (A
AP
I (
0.200.400.60
0.80Full scale
Sensitivity check
0.003
0.004
1 A1
mp
A1
Dim
er(B
)0.0010.00 20.00
Critical Rs
ComponentAt 0.1% for DPS/N > 10
0 001
0.002 DG
B DG
Im
scomponent
0.000
0.001
2 00 4 00 6 00 8 00 10 00 12 00 14 00 16 00 18 00 20 002.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00
M.W. Dong, Modern HPLC for Practicing Scientists, Wiley, 2006, Chap. 9.
Case Study on Method Validation
An early-phase composite methodAn early-phase composite method0.035
86.
792
1.00Column: Supelco Ascentis C18
(3 100 4 6 i d )API
0.035
86.
792
1.00Column: Supelco Ascentis C18
(3 100 4 6 i d )API
0.025
0.030
6.39
8
AU
0.00
0.50
Minutes0.00 5.00 10.00 15.00 20.00
(3 μm, 100 x 4.6 mm i.d.)Mobile Ph.: 25 – 65% B in 15 min
A: 0.05% TFAB: 0.03% TFA in ACN
Flow Rate: 1.0 mL/min @ 30C
API
0.025
0.030
6.39
8
AU
0.00
0.50
Minutes0.00 5.00 10.00 15.00 20.00
(3 μm, 100 x 4.6 mm i.d.)Mobile Ph.: 25 – 65% B in 15 min
A: 0.05% TFAB: 0.03% TFA in ACN
Flow Rate: 1.0 mL/min @ 30C
API
AU 0.015
0.020
.170
1
Detection: UV at 230 nm Sample: 30μL of API at 1.0 mg/mL
Impurity 1
Precursor
AU 0.015
0.020
.170
1
Detection: UV at 230 nm Sample: 30μL of API at 1.0 mg/mL
Impurity 1
Precursor
0 005
0.010
127
590
8.8.
550
10.1
70
11.9
63
13.8
71
0 005
0.010
127
590
8.8.
550
10.1
70
11.9
63
13.8
71
0.000
0.005
5.1 7. 8 1
0.000
0.005
5.1 7. 8 1
M W Dong Modern HPLC for Practicing Scientists Wiley 2006 Chap 8
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-0.005
Minutes2.00 4.00 6.00 8.00 10.00 12.00 14.00
-0.005
Minutes2.00 4.00 6.00 8.00 10.00 12.00 14.00
M.W. Dong, Modern HPLC for Practicing Scientists, Wiley, 2006, Chap. 8.
Accuracy (Recovery)
Accuracy: at least 9 determinations over at least 3 concentrations covering the specified range (e.g., 3 concentrations x 3 replicates)p )Linearity/Range: a minimum of five concentrationsDetermine across a range that at least encompasses the specification of the testthe specification of the testAcceptance criteria must be realistic.
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Accuracy (Recovery) Highlights
• Accuracy (recovery) & Linearity• Placebo method (placebo is spiked with 3
concentrations of 3 sample weights each of API)• Analytes can be adsorbed (excipients, colorants, manuf.
Process) on surfaces and filters => analyte recoveriesProcess) on surfaces and filters => analyte recoveries• Errors can also be caused by equipment, reagents,
standards, analysts, etc.standards, analysts, etc.
33
Linearity highlights
• May want to study high level and low level linearity separately. (Beer’s law)
• Low level linearity• Low level linearity– If the reporting limit is to be 0.05% and the
specification limit is to be 0.10% (i.e. API), if linear i d 0 05% t 0 12%is done 0.05% to 0.12%
– Not practical• Correction factors for impuritiesp
Precision
• Repeatability:– System Precision y– Method Precision
• Intermediate Precision: different days, analysts, equipment.– Evaluate individually and compare both
• Reproducibility• Reproducibility• Ruggedness• RobustnessRobustness
• Acceptance criteria – Must be realistic
35
p
Intermediate Precision
Degree of reproducibility of test results as a function of the variables
F (x) = f(A) * f(D) * f(E) * f(C)
Intermediate Precision Evaluation for
Bulk Substance Assay by HPLC1.6
0.4
0.8
1.2
% R
SD
0
Analy
st
Day
Equip
ment
Column
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Eq
Robustness of HPLC Methods
• “… susceptible to variations in analytical conditions…”
• Sample Preparation Robustness
• Chromatographic System Robustnessg p y
• Report analyte levels and show chromatograms
• optimized during development parameters are• optimized during development, parameters are interactive
• Could use an experimental design for this study• Could use an experimental design for this study.
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Sample Preparation Robustness
Examine different sample preparation schemes
– solvents shake vortex sonication timesolvents, shake , vortex sonication time, grinding/homogenizing, weights & volumes
Solution stability – time, temperature, light, solvent vs. y , p , g ,fresh solution
– Measure both potency and impurity levelsp y p y
– Needed for standard and drug product sample solutions
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Chromatographic Robustness
Evaluate chromatography vs. nominal conditions– Columns (lots, suppliers), mobile phase pH, ionic
strength, % organic, gradient profile, flow rate, column, injector, detector temperature, injection volume, split flow, wavelength, Instrument brands,volume, split flow, wavelength, Instrument brands, etc.
Some method parameters can be changed +/- from nominal conditions
Can matrix test parameters, i.e., change several method parameters simultaneouslymethod parameters simultaneously
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Potential Impurities
Impurities for APIs and Excipients: • synthesis precursorsy p• synthesis bi-products• residual solvents• catalysts• catalysts• decomposition• and other impurities
Impurities for Drug Products: • degradations productsg p• extractables• residual solvents• unknown substances
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• unknown substances
Q3 – Impurities
Q3A (R): Impurities in New Drug Substances (2/11/03)Q3B (R): Impurities in New Drug Products (11/14/03)Q3C: Impurities: Residual Solvents (12/24/97)Q3C: Impurities: Residual Solvents (12/24/97)
Tables and Lists (11/13/03)ICH Q3: Impurity LOQ must be less than Reporting
API DRUG PRODUCT
Threshold
≤ 2g/day > 2g/day ≤ 1g/day > 1g/day
Reporting Threshold 0.05% 0.03% 0.10% 0.05%Reporting Threshold 0.05% 0.03% 0.10% 0.05%
Identification Threshold 0.10% 0.05% 1.00% 1.00%
Qualification Threshold 0.15% 0.05% 1.00% 1.00%
Establish System Suitability Criteria
System Precision: minimum n=5 standard injection at the beginning of the run and precision throughout the run (b k ti i j ti )(bracketing injections)
Standard Check
Chromatographic Precision:
Should be more than one criteria
contain resolution of a critical pair (R ≥ 1.5)
Establish Tailing factor (< 2.0)
Approximate retention time
Need baseline separation of close peaks
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Need baseline separation of close peaks
.
Establish System Suitability Criteria
Should be base on the known capabilities of the procedure
Should be developed with the average analyst in mind and for a routine laboratory operations.
Impurity method should include an assessment of LOQ of the least sensitive analyte.
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Specificity (Impurities Tests)
There are two basic approaches to establishing specificity for procedures designed to measure impurities:impurities:
With impurity or degradation product standardsWithout impurity or degradation product standards
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Specificity for Impurity Method
When impurities are available– Spiking drug substance or drug product with
appropriate levels of impurities– Demonstration of the separation of these impurities
individually and from other components in theindividually and from other components in the sample matrix
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Specificity for Impurity Method
When impurities are not available– Demonstrate by comparing the test results of
samples containing impurities or degradation products to a second well-characterized procedure (pharmacopeial method, validated independent(pharmacopeial method, validated independent procedure)
– Include samples stored under relevant stress diti li ht h t h idit id/b h d l iconditions: light, heat, humidity, acid/base hydrolysis,
and oxidation
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Specificity (Case Study -With Standards)
Drug XX Sample
EnantiomerEnantiomer Standard
47
Specificity (Case Study -Without Standards)
Drug XX Stressed sample
48
Detection Limit – Impurities
Q2(R1):
The detection limit (DL) may be expressed as: DL = 3.3 S/b;
Where S = standard deviation of the response obtained fromWhere S standard deviation of the response obtained from- Blank - Calibration curve (standard deviation of y-intercepts
of regression lines)- Calibration curve (residual standard deviation of a
regression line )ˆ( 2∑ yyg
f2
)(
−
−=∑
n
yyS i
ii
xy
and b = slope of the calibration curve
Quantitation Limit–Impurities
The quantitation limit can be determined using the same approaches as for the detection limit. For instrumental approaches Q2(R1) provides:approaches, Q2(R1) provides:
QL = 10 S / bQL = 10 S / b
Where S and b are similar to those defined before for DLWhere S and b are similar to those defined before for DL
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Life Cycle of Analytical Methods
Change ofChange of Products Re-Validation
Change of Analytical
Validationy
Methods
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Re-Validation Focus
Possible Causes of Analytical Method Change that warrant method revalidation
Synthetic process changeFormulation changeOut of Specification investigationOut-of-Specification investigationSpecificity problem (e.g., new impurity)Ruggedness issueggPost approval changes
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Re-Validation Focus
Change control system: Levels of changes should be defined in SOP:
Level 1 : no action requiredLevel 2 : verification requiredqLevel 3 : revalidation required
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Verification Concepts
Validation: Challenges the analytical method using a well defined sampleg
Verification: Challenges the analytical environment using a well defined method
– Analyst– InstrumentInstrument – Reagents– Matrix
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General Requirements for Verification
From GC <1226>:
“Although complete revalidation of a compendial method is not required to verify the suitability of the method under actual conditions of use, some of the analytical performance characteristics listed in chapter <1225>, Table 2, may be used for the verification process.”, y p
“Only those characteristics that are considered to beOnly those characteristics that are considered to be appropriate for the verification of the particular method need to be evaluated.”
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Robustness
Definition - The ability to remain unaffected by small but deliberate variations in method parametersparameters
Ruggedness vs. RobustnessThey are different
Ruggedness: Performance under normal variability
Robustness: small but deliberate changes
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Key Factors for Change Control for Method Validation
Clearly define major and minor changes
Parameters to be revalidated depending on level of change
Equivalency of materials or instrumentation
Establish System Suit with robustness dataEstablish System Suit with robustness data
Document all changes and validation assessment efforts in Method Development report. Review previous changes of p p p gthe method before making modifications.
Understand your product’s chemistry.
Know what affects your product’s stability
For R&D, ensure that all methods are fully validated in their
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, yfinal form prior to testing submission batches