Validation is defined as establishing documented evidence that a process will consistently produce a product meeting specifications. Analytical methods must be validated for identification tests, quantitative tests for impurities, limit tests, and assays. Key parameters for validation include linearity and range, specificity, precision, accuracy, limits of detection and quantification, robustness, and system suitability. Validation demonstrates a method is suitable for its intended use by proving the method is accurate, precise, specific, robust, and capable of detecting analytes at low concentrations.
In this slide contains Study of Quality of Raw Materials and General methods of analysis of Raw materials used in cosmetic manufacture as per BSI
Presented by: P.PAVAN KALYAN (Department of pharmaceutical analysis).RIPER, anantapur
In this slide contains Study of Quality of Raw Materials and General methods of analysis of Raw materials used in cosmetic manufacture as per BSI
Presented by: P.PAVAN KALYAN (Department of pharmaceutical analysis).RIPER, anantapur
Bioanalytical Method Development and Validation..
Bioanalytical method validation include all the procedure that demonstrate that a particular method used for quantitative measurement of analyte in given biological matrix are reliable and reproducible for intended use.
University Institute of Pharmaceutical Sciences is a flag bearer of excellence in Pharmaceutical education and research in the country. Here is another initiative to make study material available to everyone worldwide. Based on the new PCI guidelines and syllabus here we have a presentation dealing with qualifications of HPLC which is the " High Performance Liquid Chromatography".
Thank you for reading.
Hope it was of help to you.
UIPS,PU team
Analytical method validation, ICH Q2 guidelineAbhishek Soni
Analytical Method Validation, ICH Q2 Guideline.
General principles related to the analytical method validation.
Validation of analytical method as per International Council for Harmonisation(ICH) guidelines and the United States Pharmacopeia(USP).
Glossary.
Useful in understanding the terms :
Specificity
Linearity
Range
Accuracy
Precision
Detection limit
Quantitation limit
Robustness
Ruggedness
System suitability testing
Bioanalytical Method Development and Validation..
Bioanalytical method validation include all the procedure that demonstrate that a particular method used for quantitative measurement of analyte in given biological matrix are reliable and reproducible for intended use.
University Institute of Pharmaceutical Sciences is a flag bearer of excellence in Pharmaceutical education and research in the country. Here is another initiative to make study material available to everyone worldwide. Based on the new PCI guidelines and syllabus here we have a presentation dealing with qualifications of HPLC which is the " High Performance Liquid Chromatography".
Thank you for reading.
Hope it was of help to you.
UIPS,PU team
Analytical method validation, ICH Q2 guidelineAbhishek Soni
Analytical Method Validation, ICH Q2 Guideline.
General principles related to the analytical method validation.
Validation of analytical method as per International Council for Harmonisation(ICH) guidelines and the United States Pharmacopeia(USP).
Glossary.
Useful in understanding the terms :
Specificity
Linearity
Range
Accuracy
Precision
Detection limit
Quantitation limit
Robustness
Ruggedness
System suitability testing
Understanding of Analytical Method Validation Approach in Pharmaceutical Industry. Analytical method validation Verification is a wide chapter and a huge scope of applicability. In different types of methods, instrument, measurement approach all can effect the validation effort. However the basic fundamental will remains same, the parameters, acceptance criteria, functionality may vary depending upon the type of method, instrument etc.
Analytical Method Validation is a process that is used to demonstrate the suitability of an analytical method for an intended purpose.Regulations and quality standards that have an impact on analytical laboratories require analytical methods to be validated.
Analytical method validation as per ich and usp shreyas B R
Analytical method validation is a process of documenting/ proving that an analytical method provides analytical data acceptable for the intended use.After the development of an analytical procedure, it is must important to assure that the procedure will consistently produce the intended a precise result with high degree of accuracy. The method should give a specific result that may not be affected by external matters. This creates a requirement to validate the analytical procedures. The validation procedures consists of some characteristics parameters that makes the method acceptable with addition of statistical tools.
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Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
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New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
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Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
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RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
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2. What is Validation?
Validation is defined as establishing documented evidence
which provides a high degree of assurance that a specific process
will consistently produce a product
specifications and quality attributes.
Identification
meeting its pre-determined
Determination
Assay
of impurities
Analytical Method Validation 2
3. Why Validation?
• The objective of any analytical measurement is to obtain
consistent, reliable and accurate data. Validated analytical
methods play a major role in achieving this goal.
• Validation of analytical methods is also required by most
regulations.
Analytical Method Validation
3
4. Typical Analytical Procedures
Be Validated
To
• Four most common types of analytical procedures to
validated:
be
•
•
•
•
Identification tests
Quantitative tests for impurities content
Limit tests for the control of impurities
Quantitative tests of the active moiety
Analytical Method Validation 4
5. Parameters
1. Linearity and Range
2. Specificity
3. Precision
4. Accuracy
5. Limit of Detection
6. Limit of Quantitation
7. Robustness
8. System Suitability
Analytical Method Validation 6
6. -signifies that this characteristic is not normally evaluated
+ signifies that this characteristic is normally evaluated
Analytical Method Validation 7
Characteristic Identification Impurities Testing Assay
Quantitative Limit
Accuracy _ + _ +
Precision
a. Repeatability _ + _ +
b. Intermediate precision _ + _ +
Specificity + + + +
LOD _ _ + _
LOQ _ + _ _
Linearity _ + _ +
Range _ + _ +
7. 1. Linearity and Range
LINEARITY
Ability to obtain test results that are directly (or by a well-defined
mathematical transformation) proportional to the concentration
of analyte in samples within a given range. (y = mx + c)
•
•
The following parameters should be
correlation coefficient
y-intercept(c)
determined:
slope of the regression line(m)
Analytical Method Validation 8
8. Determination of Linearity
• For establishment of linearity, minimum
recommended.
5 concentrations are
• Linearity results
methods.
should be established by appropriate statistical
= 0.9988
Analytical Method Validation 9
R²
1
0.8
0.6
0.4 y = 0.0868x + 0.019
0.2
0
0 2 4 6 8 10 12
9. • Transformations are also acceptable and may include log, square
root, or reciprocal (other transformations are acceptable)
1.2
0.8
0 2 4 6-0.2
Analytical Method Validation 10
y = 0.3671x - 0.4296
1.8
1.6
1.4
1 R² = 0.9515
0.6
0.4
0.2
0
Conc. Response
(µg/ml)
1 0.0625
2 0.25
3 0.562
4 0.922
5 1.562
10. 0
1.2
0.4
• If linearity is not attainable, a nonlinear model may be used. The
goal is to have a model (whether linear or nonlinear) that
describes closely the concentration-response relationship.
• r2Acceptance criteria: Linear regression > 0.95
Analytical Method Validation 11
1.4
1
0.8
0.6 y = 0.246x + 0.004
R² = 0.9982
0.2
0 2 4 6
Conc. √Response
(µg/ml)
1 0.25
2 0.5
3 0.75
4 0.96
5 1.25
11. RANGE
• The range of an analytical procedure is the interval between the
upper and lower levels of analyte(including these levels) that
have been demonstrated with a suitable level of precision,
accuracy, and linearity.
For assay tests, ICH requires the minimum specified range to be
80 to 120 percent of the test concentration.
•
Analytical Method Validation 12
12. •
•
Acceptable range having linearity, accuracy, precision.
For Drug Substance & Drug product Assay
– 80 to 120% of test Concentration
For Content Uniformity Assay
– 70 to 130% of test Concentration
For Dissolution Test Method
– +/- 20% over entire Specification Range
For Impurity Assays
•
•
•
– From Reporting Level to 120% of Impurity
Impurity Assays
– From Reporting Level to 120% of Assay Specification for
Impurity/Assay Methods
Specification for
Analytical Method Validation 13
13. 2. Precision
• The precision of an analytical procedure expresses the closeness
of agreement (degree of scatter) between a series of
measurements obtained from multiple sampling of the same
homogeneous sample under the prescribed conditions.
• Sample prepared in six replicates
as per the method.
on the same day and analysed
• The precision is reportedin terms of %RSD
Analytical Method Validation 14
14. Less Variation
High Precision
More Variation
Low Precision
Analytical Method Validation 15
Concentration Absorbance
10 µg/ml
Mean
0.22
0.35
0.39
0.53
0.36
Concentration Absorbance
10 µg/ml
Mean
0.28
0.31
0.29
0.30
0.29
15. • Precision maybe considered at three levels:
Precision
Intermediate
Precision
Repeatability Reproducibility
Analytical Method Validation 16
16. 1.
•
Repeatability
Repeatability expresses the precision under the same
operating conditions over a short interval of time.
Repeatability should be assessed using a minimum of
9 determinations covering the specified range.
•
2.
•
Intermediate Precision
Intermediate precision expresses variations within
laboratories, such as different days, different analysts,
different equipment, and so forth.
3.
•
Reproducibility
Reproducibility
laboratories. It
laboratory trial.
17025)
expresses the precision between
an inter-
USP, ISO
is assessed by means of
(Defined as ruggedness in
Analytical Method Validation 17
17. 0.
• Following parameters should be reported:
a.
b.
Standard deviation
Relative standard deviation (coefficient of variation)
1
0
Analytical Method Validation 18
12
20
1.2
8
8
0.8 8
0.6
12
4 12
0.2 20
20
4 8 12 16 20 24
Concentration Absorbance SD & % RSD
µg/ml
8
0.337 0.00041,
1.223%0.348
0.341
12
0.575 0.0106,
1.815%0.583
0.596
20
0.967
0.0091,
0.933%
0.985
0.978
18. 3. Accuracy
Closeness of agreement between the conventional true• value /
an accepted reference value and the value found.
High Accuracy Less Accuracy
Analytical Method Validation 19
19. Determination of Accuracy
1. Assay
Drug Substance Drug Product
a)application of the analyticala) application
procedure
Material.
of
to
analytical
reference procedure to synthetica
mixtures
quantities
to which
of the
known
drug
addedsubstance have been
b) to compare the results. b) to compare the results
c) accuracy may be concluded
once precision, linearity and
specificity have been
established.
c) accuracy may be concluded
once precision, linearity
and specificity have been
established.
Analytical Method Validation 20
20. 2. Impurities (Quantitation)
Assessed on samples (drug substance/drug product) spiked with
known amounts of impurities.
Accuracy should be assessed using a minimum of 9 determinations
over a minimum of 3 concentration levels covering the specified
range (e.g., 3 concentrations/3 replicates each of the total
analytical procedure).
Accuracy should be reported as percent recovery by the assay of
known added amount of analyte in the sample or as the difference
between the mean and the accepted true value.
Analytical Method Validation 21
21. 4. Limit of Detection &
Quantitation
Limit of Detection:
It is the lowest amount of analyte in a sample
detected but not necessarily quantitated.
Limit of
•
• which can be
•
•
Limit of Quantitation:
It is the lowest amount of analyte in a sample which can be
quantitatively determined with suitable precision and accuracy.
Analytical Method Validation 23
22. 4. Limit of Detection & Limit of
Quantitation
LOQLOD
Lowest amount of analyte
in a sample that can be
Lowest amount of analyte in a
sample that can be detected
but not necessarily quantified with suitable
quantitated. accuracy and precision.
Estimated by Signal to
Noise Ratio of 10:1.
Estimated by Signal to Noise
Ratio of 3:1.
Analytical Method Validation 22
23. Signal to noise ratio 10:1 Signal to noise ratio 2:1 or 3:1
Determination of LOD & LOQ
Limit of Detection
Method
Limit of Quantitation
Method
Based on visual evaluation Based on visual evaluation
Based on standard deviation
of response and slope
Based on standard deviation
of response and slope
LOD = 3.3 σ / Slope LOD = 10 σ / Slope
Analytical Method Validation 24
25. 6. Specificity
• The ability to detect the analyte of interest in the presence of
interfering substances (typically impurities, degradants, ).
1. Identification
• Suitable identification tests should be able to discriminate
between compounds of closely related structures which are
likely to be present.
• The discrimination of a procedure may be confirmed by
obtaining positive results from samples containing the analyte,
coupled with negative results from samples which do not
contain the analyte.
The identification test may be applied to materials structurally
similar to or closely related to the analyte to confirm that a
positive response is not obtained.
•
Analytical Method Validation 26
26. 2. Assay and impurity test:
a.
•
Impurities are available
For the assay , this
discrimination of the
and/or excipients.
should involve demonstration of the
analyte in the presence of impurities
• This can be done by spiking pure substances with
appropriate levels of impurities and/or excipients and
demonstrating that the assay result is unaffected by the
presence of these materials.
• For the impurity test, the discrimination may be established
by spiking drug substance or drug product with appropriate
levels of impurities and demonstrating
these impurities individually and/or from
in the sample matrix.
the separation of
other components
Analytical Method Validation 27
27. 7. Robustness
The robustness of an analytical procedure is a measure of its
capacity to remain unaffected by small, but deliberate variations
in method parameters and provides an indication of its reliability
during normal usage.
•
• If measurements are susceptible to variations in analytical
conditions, the analytical conditions should
should
be suitably
controlled or a precautionary statement
the procedure, such as:
Use solution within 24 hours
be included in
•
• Maintain temperature below 25 degrees
Analytical Method Validation 29
28. • In the case of liquid chromatography, examples of typical
variations are:
influence of variations of pH in a mobile phase
influence of variations in mobile phase composition
different columns (different lots and/or suppliers)
temperature
flow rate
• In the case of gas-chromatography, examples of typical variations
are:
different columns (different lots and/or suppliers)
temperature
flow rate
Analytical Method Validation 30
29. 8. System Suitability
• System suitability testing is an integral part of many analytical
procedures. The tests are based on the concept that the
equipment, electronics, analytical operations and samples to be
analyzed constitute an integral system that can be evaluated as
such.
• Determination: repeatability, tailing factor (T), capacity factor
(k’), resolution (R), and theoretical Plates (N)
Analytical Method Validation 31
30. System Suitability Requirements
Analytical Method Validation 32
Parameters Recommendations
K’ In general k’ ≥ 2.0
R >2, between the peak of interest and
R the closest potential interferent (degradant,
internal STD, impurity, excipient, etc…)
T T ≤ 2
N In general N > 2000
Repeatability RSD ≤ 2.0% (n ≥ 5)
31. Conclusion
When the method is properly validated consistent, reliable•
and accurate results are obtained. Also, Validation of
analytical methods is also required by regulations. Hence it
is very important to validate any analytical method that has
been developed.
Analytical Method Validation 33
correlation coefficient : statistical relationship between two variables
y-intercept is the point where a line crosses the y-axis.
The slope of regression line (b) represents the rate of change in y as x changes. Because y is dependent on x, the slope describes the predicted values of y given x.
In reproducibility : the same analysis is performed in different laboratory or place by same methods.