This document provides an overview of analytical method validation. It defines validation as proving a method leads to expected results. Validation is required for analytical tests, equipment, and processes. Once validated, a method is expected to remain in control if unchanged. The document discusses types of analytical procedures that must be validated, including identification, quantitative impurity, limit tests, and assays. It also distinguishes between validation and verification. Key aspects of validation covered include system suitability, specificity, linearity, range, precision, accuracy, recovery, and robustness. The validation characteristics and acceptance criteria are defined.
This presentation includes detail about cleaning levels,equipments for cleaning validation , steps for cleaning method validation and analytical method validation used for cleaning.
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 development and validation for simultaneous estimationProfessor Beubenz
Brief about analytical method development and validation
Subscribe to the YouTube Channel #Professor_Beubenz
https://www.youtube.com/channel/UC84jGf2iRN5VjwnQqi6qmXg?view_as=subscriber
This presentation includes detail about cleaning levels,equipments for cleaning validation , steps for cleaning method validation and analytical method validation used for cleaning.
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 development and validation for simultaneous estimationProfessor Beubenz
Brief about analytical method development and validation
Subscribe to the YouTube Channel #Professor_Beubenz
https://www.youtube.com/channel/UC84jGf2iRN5VjwnQqi6qmXg?view_as=subscriber
The analyst is required to analyze a number of QC samples throughout the run where there are decisions to be made based on a window of acceptance for each QC sample analyzed.
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.
Steps to consider when developing analytical methods in your laboratory. Most important validation criteria to consider, including tips on how to remain relevant.
Analytical method development and validation are one of the very imp aspects in Drug testing and approval process.Here I tried to explain the same with my experience.
Validation of lab instruments and quantitative test methods Mostafa Mahmoud
This lecture shows the procedures applied when going to validate your laboratory instruments and quantitative test methods also either FDA approved or laboratory developed tests.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
2. WHO validation definition
• The documented act of proving that any procedure, process,
equipment, material, activity, or system actually leads to the expected
results.
• Validation studies are performed for analytical tests, equipment,
facility systems such as air, water, steam, and for processes such as
the manufacturing processes, cleaning, sterilization,
• Once the system or process has been validated, it is expected that it
remains in control, provided no changes are made.
3. Analytical Method Validation
• AMV establishes documented evidence that the analytical method
adopted for a test is fit for the intended purpose in terms of quality,
reliability, reproducibility and consistency of results.
• In other words, if the same method is adopted in any other laboratory
across the world, under the same set of conditions and control
parameters, the results should be in agreement.
4. Analytical Method Validation
• Pharmaceutical Industries governed by rules & regulations. Method
validation is mandatory as per regulatory agencies.
• Analytical methods should be used within GMP and GLP
environments
5. Types of analytical procedures to be
validated
The discussion of the validation of analytical procedures is
directed to the four most common types of analytical
procedures:
• Identification tests.
• Quantitative tests for impurities content.
• Limit tests for the control of impurities.
• Quantitative tests of the active moiety (API) in samples of
drug substance or drug product or other selected component(s)
in the drug product. e.g. ASSAY, DISSOLUTION etc.
6. Validation Vs Verification
• Method Validation
Characterizes performance characteristics
USP 46 - NF 41; General Chapter <1225> Validation of Compendial
Procedures
• Hyperlink the Files〈1225〉 Validation of Compendial Procedures.pdf
• Method Verification
Confirms that the validated method works as intended under conditions of
actual use
USP 46 - NF 41; General Chapter <1226> Verification of Compendial
Procedures
Hyperlink the Files〈1226〉 Verification of Compendial Procedures.pdf
7. Considerations prior to AMV
• Is required throughout the regulatory submission
process/compliance. i.e. for DDA submission, also for Laboratory
accreditation
• Hyperlink the FilesGuideline on Analytical Method Validation-
DDA.pdf
• The laboratory should be following a written SOP that describes the
process of conducting method validation.
• There should be a well-developed and documented test method in
place and an approved AMV protocol should be in place.
8. Considerations prior to AMV cont.
• AMV Plan and Performance Record: Scope, Purpose and
applications of the method. Also describes which method, performance
parameters will be tested, how the parameters will be assessed, and
the acceptance criteria that will be applied. Criteria for revalidation
so on.
• Also Materials and chemicals (Reagents) to be used, Instruments
details and their Status of Qualification and Calibration, AMV Team
members, Status of Training and Qualification Records. i.e. qualified
analyst etc.
• Finally, samples of API or drug product, placebo, and working
standard are needed to perform the validation experiments.
9. Calibration:
• Assessment of proper functioning of instruments
• Instrumental specifications: Liquid chromatography
• Injection reproducibility (injection precision)
• Column performance (Efficiency, Selectivity, Asymmetry, Backpressure)
• Pump performance (Flow rate, Pressure stability)
• Detector performance (Sensitivity, Noise, Drift)
• Temperature calibration of Column Heater,
• Auto Injector Cooler/Heater temperature calibration
• Injection Volume Accuracy of Auto injector
• Electronic Weighing Balance: Must be calibrated by Nepal Bureau of
Standards and Metrology
11. 1. System suitability testing
Sr. No. System Suitability Test (HPLC) Limit
1 Theoretical Plates NLT 2000
2 Tailing factor NMT 2.0
3 RSD of five/six replicate injections NMT 2.0%
4 Resolution between two peaks NLT 2.0
5 RSD (for UV) NMT 3.0%
System suitability tests should be performed on HPLC systems to determine
the accuracy and precision of the system by injecting five/ six injections of a
solution containing analyte (standard solution) at 100% of test concentration.
Determine relative standard deviation (RSD) of the replicate injections,
theoretical plate and tailing factor.
12. 2. Specificity
• Specificity is the ability of the analytical method to measure only the
analyte of interest without interference from other components in the
sample that are likely to be present, such as impurities, degradants, matrix
components, etc.
• Should be investigated by injecting the blank (solvent)/ placebo (matrix
solution), standard solution, sample solution to demonstrate the absence of
interference with the elution of analytes.
• HPLC-Well separation of all peaks. Drug from Impurities
• Peak purity- No overlapping of peaks / coelution
14. 3. Linearity
• The analytical method should be linear, i.e., there should be a direct relationship
between the concentration of the analyte(s) and the signal produced.
• Standard solutions should be prepared at minimum of 5/6 concentrations within
the range of typically 80%, 100 %, 120 %, of target concentration.
• A plot of signals as a function of analyte concentration or content is then created,
usually by means of a regression line. The correlation coefficient, y-intercept,
slope of the regression line, and residual sum of squares should be calculated.
• Correlation coefficient (r2) ≥ 0.99 (For AssaY)
• r2 ≥ 0.98 (For Dissolution)
15. Fig. An example of a regression line
Peak area as a function of Crisaborole concentration
Crisaborole Concentration (mg/ml)
16. 4. Range
The analytical method must be able to detect and quantify low levels of analytes
accurately. The specified range is normally derived from linearity studies.
The range of an analytical procedure is the interval between the upper and lower
concentration (amounts) of analyte in the sample (including these concentrations)
for which it has been demonstrated that the analytical procedure has a suitable
level of precision, accuracy and linearity.
The following minimum specified ranges should be considered:
Assay of drug substances (80 % to 120 % of the test concentration)
Content Uniformity (minimum 70% to 130 % of the test concentration)
Dissolution testing (+/-20 % over the specified range)
17. 4. Range Cont.
• Limit Of Detection (LOD): The detection limit of an individual
analytical procedure is the lowest amount of analyte in a sample which
can be detected but not necessarily quantitated as an exact value.
• LOD may be expressed as:
LOD = 3.3 σ/S
• Where σ = the standard deviation of the response,
• S = the slope of the calibration curve. The slope S may be estimated
from the calibration curve of the analyte.
18. 4. Range Cont.
• Limit Of Quantitation (LOQ):The quantitation limit of an individual
analytical procedure is the lowest amount of analyte in a sample which
can be quantitatively determined with suitable precision and accuracy.
• LOQ may be expressed as:
LOQ = 10σ/S
Where σ = the standard deviation of the response,
S = the slope of the calibration curve. The slope S may be estimated
from the calibration curve of the analyte.
19.
20. 5. Precision
• Precision is the degree of agreement (degree of scatter) between
replicate measurements of the same sample under the same
conditions.
• Precision may be considered at three levels: Repeatability,
Intermediate precision and Reproducibility.
21. 5. Precision Cont.
•Repeatability expresses the precision under the same
operating conditions over a short interval of time.
For instrument precision determinations of five replicate of
reference standard should be made.
For the method precision at least nine determinations covering
specified range of 3 concentration and 3 replicates should be made or a
minimum of 6 determinations at 100% of the test concentration.
22. 5. Precision Cont.
•Intermediate Precision
• Test procedure Intermediate precision (within-laboratory
variation) should be demonstrated by at least two
analysts, using at least two HPLC/UV-vis
spectrophotometer on different days and evaluating
the relative percent purity data across the two systems of
triplicate sample of one concentration.
23. 5. Precision Cont.
•Reproducibility:
• Reproducibility expresses the precision between laboratories
(collaborative studies, usually applied to standardization of
methodology). Reproducibility is assessed by means of an inter-
laboratory trial.
• i.e. Different analysts in different laboratories should be able to get
similar results. This is usually tested in the case of Method transfer.
24. 6. Accuracy and Recovery..Hyperlink the
Files5. Accuracy Test.pdf
• The accuracy is closeness between the experimental value and true
value/theoretical value.
• Spiked samples should be prepared at three concentrations over the
range of 80 %, 100 % and 120 % of the target concentration. Three
individually prepared triplicates at each concentration will be
analyzed.
• Limit:
26. 7. Robustness
a) Deliberate variation
The investigation of robustness can be done by change of flow rate of
the mobile phase, change of temperature of column, change of
composition of the mobile phase, change in the pH of the mobile
phase and use of different column.
Changes should be within the limits that produce acceptable
chromatography & UV spectrum.
28. 7. Robustness Cont.
b) Stability of the standard and sample solution
Solutions of drug product should be analyzed in comparison to the
fresh prepared solutions stored at room temperature in auto sampler
and stored at 2 - 8 °C, in refrigerator at least 24 hours.
98.0 % to 102.0 % in comparison to the freshly prepared solutions
Hyper link
29. Revalidation
The degree of revalidation depends on the nature of the change.
Change in the analytical procedure, drug substance, drug product may
necessitate revalidation of the analytical procedures.
Every 5 years even if no change in any of the above.
When the method is properly validated – consistent, reliable and
accurate results are obtained.
METHOD VALIDATION =ERROR ASSESSMENT
30. References
1) ICH harmonized tripartite guideline - Validation of Analytical
Procedures : Text and methodology - ICH Q2(R1)
2) United States Pharmacopoeia, Chapter <1225> Validation of
compendial methods.
3) Guideline on Analytical Method Validation on Non-pharmacopoeial
Products for Regulatory Approval. Doc. No.: AMVP/076-77-02,
Supersede No:1 (AMVP/073/01).