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.
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.
Ion pair chromatography for pharmacy studentsabhishek rai
Ion-PairChromatography
A GENERALISED OVERVIEW
Chromatography
HPLC
Reverse Phase Chromatography
Ion Pair Chromatography
Ion Pair Reagent
Mechanism of Ion Pair Chromatography
Ion Pair Wash Procedure
Learning from issues in assay cross-validation / method transfersPeter van Amsterdam
Examples of successful and failed method transfers from the innovator lab to a CRO plus reflections on factors which may or may not be of importance when off-shoring methods.
Ion pair chromatography for pharmacy studentsabhishek rai
Ion-PairChromatography
A GENERALISED OVERVIEW
Chromatography
HPLC
Reverse Phase Chromatography
Ion Pair Chromatography
Ion Pair Reagent
Mechanism of Ion Pair Chromatography
Ion Pair Wash Procedure
Learning from issues in assay cross-validation / method transfersPeter van Amsterdam
Examples of successful and failed method transfers from the innovator lab to a CRO plus reflections on factors which may or may not be of importance when off-shoring methods.
A short and quick presentation on predicting ligand binding sites which include four methods for prediction binding sites.First go through the references and then quick look at this presentation really helpful to you. Enjoy
In this presentation from, Janeen Santorosa discusses the best practices for harmonization of GMP auditing, domestic and international regulations for supplier auditing, integration of risk-based practices, and supplier audit practice tools.
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Others have done the work. Some have used the work. I have spoken only on behalf of their behalf.
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.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
3. Introduction:
Bioanalytical Method relates specifically to determine the
concentration of drug or its metabolite or both in biological
matrix such as plasma, serum, urine, etc.
Bioanalytical information used in human clinical non- human
(preclinical) studies requiring pharmacokinetic evaluation.
Bioanalytical method validation includes all of the procedures
that demonstrate that a particular method used for quantitative
measurement of analytes in a given biological matrix, such as
blood, plasma, serum, or urine, is reliable and reproducible for
the intended use.
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5. Ligand binding assays:
Ligand-binding assays (LBAs) are methods used to detect
and measure a macromolecular interaction between a
ligand and a binding molecule.
LBAs are used to characterize and define the
pharmacokinetic, pharmacodynamic and immunogenic
properties of a therapeutic antibody in nonclinical and
clinical studies.
In LBAs, a therapeutic monoclonal antibody is considered
to be the ligand, or analyte of interest, while the binding
molecule is usually a target protein (e.g., cytokines or
receptors that the therapeutic antibody targets), or an anti-
idiotypic antibody directed against the therapeutic
antibody.
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6. Key Reagents:
Key reagents, such as reference standards (calibration
standards, quality control samples), antibodies, tracers, and
matrices should be characterized appropriately and stored under
defined conditions.
The purity of the reference standards used to prepare spiked
samples can affect study data. For this reason, authenticated
analytical reference standards of known quality and purity
should be used. If possible the reference standards should be
identical to the analyte.
Assay re-optimization or validation may be important when
there are changes in key reagents.
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7. Method development:
A specific, detailed, written description of the bioanalytical
method should be established. This can be in the form of a
protocol, study plan, report, and/or SOP.
Immunoassay method development comprises a selection of the
following:
Assay reagents
Assay format
Batch size
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8. Selectivity:
Selectivity is the extent to which the analyte may be
determined without interference from other components
in a mixture.
If the response is distinguished from all other responses,
the method is said to be selective.
Two selectivity issues should be considered:
Interference from Substances Physicochemically Similar
to the Analyte.
Matrix Effects Matrix effects should be evaluated.
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9. ACCURACY:
The accuracy of an analytical method describes the closeness of
mean test results obtained by the method to the actual value
(concentration) of the analyte.
Accuracy is determined by replicate analysis of samples
containing known amounts of the analyte (i.e., QCs).
Accuracy should be measured using a minimum of five
determinations per concentration.
A minimum of three concentrations in the range of expected study
sample concentrations is recommended.
ACCEPTANCE CRITERIA;
The mean value should be within 20% of the nominal value
except at LLOQ, where it should not deviate by more than 25%.
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10. Precision:
Closeness of individual measures of an analyte when the
procedure is applied repeatedly to multiple aliquots of a
single homogeneous volume of biological matrix.
A minimum of three concentrations in the range of
expected study sample concentrations is recommended.
Acceptance criteria;
The precision determined at each concentration level
should not exceed 20% of the CV except for the LLOQ,
where it should not exceed 25% of the CV.
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11. Within run precision:
Within-run (also known as intra-batch precision or
repeatability) is an assessment of the precision
during a single analytical run.
Between run precision:
Between-run precision (also known as interbatch
precision or repeatability), is a measurement of the
precision with time, and may involve different
analysts, equipment, reagents, and laboratories.
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12. Recovery:
The recovery of an analyte in an assay is the detector response
obtained from an amount of the analyte added to and extracted from
the biological matrix, compared to the detector response obtained
for the true concentration of the pure authentic standard.
The recovery allows to determine the percent of lost drug during
sample preparation.
Extent of recovery of an analyte and of the internal standard should
be consistent, precise, and reproducible.
Recovery experiments should be performed by comparing the
analytical results for extracted samples at three concentrations (low,
medium, and high) with unextracted standards that represent 100%
recovery .
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13. Calibration curve:
A calibration (standard) curve is the relationship between
instrument response and known concentrations of the analyte.
The relationship between response and concentration should be
continuous and reproducible.
A calibration curve should consist of a blank sample, a zero
sample and at least six non-zero samples covering the expected
range, including LLOQ.
Method validation experiments should include a minimum of
six runs conducted over several days, with at least six
concentrations (including LLOQ, low, medium, and high)
analyzed in duplicate in each run.
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14. Lower Limit of Quantification (LLOQ):
The lowest standard on the calibration curve should be accepted as
the LLOQ if the following conditions are met:
The analyte response at the LLOQ should be at least five times the
response compared to blank response.
Analyte peak (response) should be identifiable, discrete, and
reproducible, and the back-calculated concentration should have
precision that does not exceed 25% of the CV and accuracy within
25% of the nominal concentration.
The LLOQ should be established using at least five samples and
determining coefficient of variation and/or appropriate confidence
intervals.
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15. Upper Limit of Quantification (ULOQ) :
The highest standard will define the ULOQ of an
analytical method.
Analyte peak (response) should be reproducible
and the back-calculated concentration should have
precision that does not exceed 20% of the CV and
accuracy within 20% of the nominal concentration.
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16. Calibration Curve/Concentration-Response:
Selection of weighting and use of a complex
regression equation should be justified.
Standards/calibrators should not deviate by more
than 20% of nominal concentrations, except at
LLOQ where the standard/calibrator should not
deviate by more than 25%.
The acceptance criterion for the standard curve is
that at least 75% of non-zero standards should
meet the above criteria, including the LLOQ.
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17. Quality control samples:
At least 3 concentrations of QCs in duplicate should be
incorporated into each run as follows: one within three
times the LLOQ (low QC), one in the midrange (middle
QC) and one approaching the high end (high QC) of the
range of the expected study concentrations
The minimum number of QCs should be at least 5% of
the number of unknown samples or six total QCs
whichever is greater
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18. It is recommended that calibration standards and QCs
be prepared from separate stock solutions. A single
source of blank matrix may also be used, provided
absence of matrix effects on extraction recovery and
detection has been verified.
Acceptance Criteria:
At least 67% (e.g., at least 4 out of 6) of the QCs
concentration results should be within 20% of their
respective nominal (theoretical) values.
At least 50% of QCs at each level should be within
20% of their nominal concentrations.
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19. Sensitivity:
Sensitivity is defined as the lowest analyte
concentration that can be measured with
acceptable accuracy and precision (i.e., LLOQ).
The LLOQ was established using at least six
samples and determining the %CV.
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20. Reproducibility:
Assessed by replicate measurements using the
assay, including QCs and possibly incurred
samples.
Reinjection reproducibility should be evaluated
to determine if an analytical run could be
reanalyzed in the case of instrument
interruptions.
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21. Stability:
The chemical stability of an analyte in a given
matrix under specific conditions for given time
intervals is assessed in several ways
Pre-study stability evaluations should cover the
expected sample handling and storage conditions
during the conduct of the study, including
conditions at the clinical site, during shipment and
at all other secondary sites
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22. The procedure should also include an evaluation of
analyte stability in stock solution
Stock solutions of the analyte for stability evaluation
should be prepared in an appropriate solvent at known
concentrations. Stability samples should be compared to
freshly made calibrators and/or freshly made QCs
At least three replicates at each of the low and high
concentrations should be assessed
Stability sample results should be within 15% of
nominal concentrations
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24. Validated Method: Use, Data
Analysis and Reporting
Calibration curves and QCs should be included in all analytical
runs.
The QCs should be used to accept or reject the run.
All study samples from a subject should be analyzed in a single run
Carryover should be assessed and monitored during analysis
Incurred sample reanalysis (ISR) should be performed
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25. Incurred sample reanalysis:
To verify the reliability of the reported subject sample
analyte concentrations.
Conducted by repeating the analysis of a subset of subject
samples from a given study in 5 separate runs on different
days to critically support the precision and accuracy
measurements established with spiked QCs; the original
and repeat analysis is conducted using the same
bioanalytical method procedures.
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26. SOPs should be established and followed to address:
The total number of ISR samples should be 7% of the study sample
size.
In selecting samples for reanalysis, the PK profile should be
provided and must include assessments around Cmax and in the
elimination phase for all study subjects.
Two-thirds (67%) of the repeated sample results should be within
20% for small molecules and 30% for large molecules.
% Difference= (Repeat – Original)/Mean * 100
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27. Documentation:
General and specific SOPs and good record keeping are
essential to a properly validated analytical method
Documentation for submission to FDA should include
the following:
Summary information,
Documentation for method validation,
Documentation for bioanalytical report,
Otherinformation applicable to method development
and establishment and/or to routine sample analysis.
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28. References:
1. Development and validation of ligand-binding assays to
support the bioanalysis of therapeutic antibodies,
Bioanalysis of Biotherapeutics, Future Medicine [Internet].
Futuremedicine.com. 2016 [cited 5 March 2016]. Available
from:
http://www.futuremedicine.com/doi/abs/10.4155/ebo.13.345
2. bionanlytical method validation draft guidance [Internet].
www.fda.gov. 2013 [cited 5 March 2016]. Available from:
http://www.fda.gov/downloads/Drugs/Guidances/ucm07010
7.pdf
3. Kelley M, DeSilva B. Key elements of bioanalytical
method validation for macromolecules. The AAPS Journal.
2007;9(2):E156-E163.
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