1 Method Selection and Development l Initial Considerations n What does the method need to do? 3 What analyte/s need to be assayed? 3 What range or concentration.

Slides:



Advertisements
Similar presentations
Radiochemical Methods and Data Evaluation
Advertisements

Quality is a Lousy Idea-
Dr. Birgit Schmauser, BfArM, Bonn
Analytical Method Development and Validation
Instrumental Analysis
Mentoring Session Technical Assistance Committee Method Modifications.
CHEMISTRY ANALYTICAL CHEMISTRY Fall
Result validation. Exercise 1 You’ve done an analysis to the best of your ability using the correct procedure. Is your answer correct? possibly, hopefully.
World Health Organization
Dr Samah Kotb Lecturer of Biochemistry 1 CLS 432 Dr. Samah Kotb Nasr El-deen Biochemistry Clinical practice CLS 432 Dr. Samah Kotb Nasr.
Basic Questions Regarding All Analytical & Instrumental Methods (p 17-18) What accuracy and precision are required? How much sample do I have available,
Quality Assurance.
Supplementary Training Modules on Good Manufacturing Practice
Short Course on Introduction to Meteorological Instrumentation and Observations Techniques QA and QC Procedures Short Course on Introduction to Meteorological.
Detect Limits as Representation for a Standard VAP Rule Discussion Dawn Busalacchi Risk Assessor, DERR, Central Office VAP Rule Discussion Dawn Busalacchi.
QUALITY CONTROL OF PHYSICO-Chemical METHODS Introduction :Validation توثيق المصدوقية.
Kyiv, TRAINING WORKSHOP ON PHARMACEUTICAL QUALITY, GOOD MANUFACTURING PRACTICE & BIOEQUIVALENCE Validation of Analytical Methods Used For Bioequivalence.
Chemometrics Method comparison
Method Comparison A method comparison is done when: A lab is considering performing an assay they have not performed previously or Performing an assay.
Quality Assurance.
Quality Assessment 2 Quality Control.
Quality Control In Measurements Tom Colella CLAS Goldwater Environmental Lab.
Field Analysis Quality Control
Validation of Analytical Method
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 P. HoulgateAssessment of Test Kits in Terms.
WWLC Standard Operating Procedures Presented by Frank Hall, Laboratory Certification Coordinator.
Perchlorate Analysis by Ion Chromatography The CA DHS Protocol H.S. Okamoto, D.K. Rishi and S.K. Perera.
The following minimum specified ranges should be considered: Drug substance or a finished (drug) product 80 to 120 % of the test concentration Content.
Analytical considerations
Introduction to Analytical Chemistry Dr M. Abd-Elhakeem Faculty of Biotechnology General Chemistry Lecture 7.
HD 2007 Rule Diesel Fuel Sulfur Testing and Sampling Methods and Requirements US EPA Office of Transportation and Air Quality November 20, 2002.
Quality WHAT IS QUALITY
How to Select a Test Method Marlene Moore Advanced Systems, Inc. June 15, 2010.
Quality Control Lecture 5
Understanding Your QC Presentation to: KWWOA April 15, 2015 Department for Environmental Protection Energy & Environment Cabinet To Protect and Enhance.
Quality Assurance How do you know your results are correct? How confident are you?
5. Quality Assurance and Calibration Quality assurance is We do to get the right answer for our purpose. Have Sufficient accuracy and precision to support.
Data Analysis: Quantitative Statements about Instrument and Method Performance.
Biochemistry Clinical practice CLS 432 Dr. Samah Kotb Lecturer of Biochemistry 2015 Introduction to Quality Control.
Investigating Out of Specification Results
Validation Defination Establishing documentary evidence which provides a high degree of assurance that specification process will consistently produce.
Wenclawiak, B.: Fit for Purpose – A Customers View© Springer-Verlag Berlin Heidelberg 2003 In: Wenclawiak, Koch, Hadjicostas (eds.) Quality Assurance in.
Industrial Technology Institute Test Method Validation & Verification H.P.P.S.Somasiri Principal Research Scientist / SDD-QAD /QM Industrial Technology.
Control Charts and Trend Analysis for ISO 17025
Quality Control Internal QC External QC. -Monitors a test's method precision and analytical bias. -Preparation of quality control samples and their interpretation.
LECTURE 13 QUALITY ASSURANCE METHOD VALIDATION
Module 11 Module I: Terminology— Data Quality Indicators (DQIs) Melinda Ronca-Battista ITEP Catherine Brown U.S. EPA.
Copyright © 2015, TestAmerica Laboratories, Inc. All rights reserved. 1 EPAs New MDL Procedure What it Means, Why it Works, and How to Comply Richard Burrows.
Lecture 10 ANALYTICAL METHOD DEVELOPMENT AND VALIDATION IN HPLC AND GC. Lecture 10 – Chromatography, Dr. Rasha Hanafi 1© Dr. Rasha Hanafi, GUC.
SEMINAR ON PRESENTED BY BRAHMABHATT BANSARI K. M. PHARM PART DEPARTMENT OF PHARMACEUTICS AND PHARMACEUTICAL TECHNOLGY L. M. COLLEGE OF PHARMACY.
EQUIPMENT and METHOD VALIDATION
means to “TO CHECK OR PROVE THE VALIDITY OF” According to FDA – “ The goal of validation is to establish a documented evidence which provides a high degree.
Quality is a Lousy Idea-
The 2015/2016 TNI Standard and the EPA MDL Update
World Health Organization
EPA Method Equivalency
Quality is a Lousy Idea-
EPA Method Equivalency
What it Means, Why it Works, and How to Comply
Analytical Method Validation
METHOD VALIDATION: AN ESSENTIAL COMPONENT OF THE MEASUREMENT PROCESS
Chapter 5 Quality Assurance and Calibration Methods
Choice of Methods and Instruments
Environmental Laboratory Certification Program (ELCP)
ANALYTICAL METHOD VALIDATION
World Health Organization
Introduction To Medical Technology
Quality Control Lecture 3
▪Internal quality control:
Quality Assessment The goal of laboratory analysis is to provide the accurate, reliable and timeliness result Quality assurance The overall program that.
Presentation transcript:

1 Method Selection and Development l Initial Considerations n What does the method need to do? 3 What analyte/s need to be assayed? 3 What range or concentration will be evaluated? n How will the data generated from this analysis be used? 3 Trend data 3 Identification 3 Quantification n What instruments/methods are currently available? n Any special needs/criteria that need to be met 3 Sample size 3 Storage/Preservation n Utilization of a pilot study may help to answer many of these issues

2 Analytical Methods l Qualitative n Is a certain analyte present or not? 3 Confirmation of the presence or absence of impurities 3 Identification of unknown substances n Sensitivity of method is important l Quantitative n What amount of analyte is present? n What level of detection is necessary? 3 Several methods with varying degrees of validation criteria »Validation means that the method has been subjected to evaluation and has been found to provide results which are appropriate for their intended purpose

3 Analytical Methods (cont.) l Methods are categorized into the following types: n ROUTINE 3 Screening »High throughput; Low cost »Small number of false positives/negatives »Usually qualitative 3 Surveillance »Lower throughput »Better sensitivity »Quantitative result n REGULATORY 3 Confirmatory »Positive identification »Routine method with detection system 3 Reference »Fully validated and tested »Data accuracy and precision n ALWAYS remember that the method used must fit the intended utilization of the results

4 Sources for Methods l Check the existing methods and QC options currently available (in-house) l Methods published by scientific literature n Journal of Chromatography n Journal of Analytical Chemistry l Methods supplied by trade organizations/suppliers n Varian/Shimadzu l Methods published in books by professional organizations or statutory publications n Standard Methods for the Examination of Waste Water (20th Ed.) n Environmental Protection Agency EPA n U.S. Geological Survey USGS n American Public Health Association APHA n American Water Works Association AWWA n Water Environment Federation WEF

5 Factors to Consider when Choosing a Method l Limits of Detection n Controversial due to definitions that fall short in explanation and confusion of terms n Most analysts agree that the smallest amount that can be detected above the noise in a procedure and within stated confidence limits is the detection limit. n Several types of detection limits 3 Instrument detection limit (IDL) »Analyte concentration that produces a signal greater than three standard deviations of the mean noise level. »Instruments produce a signal or noise even when no sample is present or a blank is being analyzed. Large number of blank evaluations helps to well define the mean and standard deviation Useful for determination of the Method Detection Limit (MDL)

6 Factors to Consider when Choosing a Method (cont.) n Limits of Detection (cont.) 3 Method Detection Limit (MDL) »Defined by EPA as the minimum concentration of a substance that can be measured and reported with 99% confidence that the analyte concentration is greater than zero and is determined from analysis of a sample in a given matrix containing the analyte. (EPA PT. 136 App. B rev 1.1 pg.305) »MDL is usually based on 7 to 10 replicate aliquots prepared at a concentration that is 1 to 5 times the estimated detection limit; multiple runs may be required to set MDL »Ideally the MDL should be at least one-tenth of the concentration to be measured EX: Legal limit for lead concentration in tap water is 50 ppb the method used should be capable of detection of lead to 5 ppb level »Formula for calculation of MDL For 7 replicates of a sample MDL= 3.14s 3.14 is the value from the table of one-sided t distribution for t 7-1= 6 degrees of freedom at the 99% level s is the standard deviation for the replicates

7 Factors to Consider when Choosing a Method (cont.) l Limits of Detection (cont.) 3 Limit of Quantitation (LOQ) »LOQ is the low standard in the calibration curve »Usually 3 to 5 times the MDL n Report results below the MDL as “not detected” n Report results between the MDL and the LOQ with qualification for quantitation n Report results above the LOQ with the value and its associated error l Accuracy n Closeness of measured value to true value n Combines bias and precision n Developed first with instrument or method; then monitor periodically l Precision n Measure of the degree of agreement among replicate analyses of a sample n External source QC; material used to determine reproducibility/consistency for method performance; NOT A STANDARD but similar 3 Day to day QC result maintains precision

8 Factors to Consider when Choosing a Method (cont.) l Speed n dependent type of analysis n number of samples to be analyzed n type of data required 3 Subset of samples 3 Assays in combination »Screening method followed up by a confirmation method l Equipment Required n Evaluation of resources available n Method may be ideal but without proper equipment or technical support not applicable 3 Ex: Respiration experiments requiring detection of CO 2 l Sample Size n May or may not be a limiting factor in analysis 3 Ex: Precipitation collectors »Amount of rainfall collected impacts the number and types of analysis that can be completed n Linked to limit of detection

9 Factors to Consider when Choosing a Method (cont.) l Sample Size (cont.) n Linked to limit of detection 3 Detection levels can sometimes be improved by taking larger weights/volumes of sample 3 Homogeneity and representative sampling should be considered l Cost n Choice of method may only have small impact on overall cost of analysis 3 Usually instrumentation and resources have a larger impact 3 Some methods may require highly specialized training or expensive chemicals l Specificity n Degree of discrimination of the method for the analyte n Discrimination of the detection system should also be considered

10 Factors to Consider when Choosing a Method (cont.) l Safety n Methods that require special facilities or training for safe operation may impact decision 3 Radioactivity; Toxic or hazardous chemicals 3 Some statutory methods may leave no alternative choices »Make sure that all personnel associated with method are properly trained and made aware of hazards

11 Making your choice l Ultimately the method chosen maybe dependent on one or many of the factors listed n Above all chose a method that fits the purpose »Will the method chosen be adequate for the decisions that need to be made when the result is determined? l Choice of the appropriate method l Now what?

12 Method evaluation/Validation l Precision n Within run 3 Sample or control is run 10x within run »Reproducibility of method »Mean Standard deviation for each value »Meet manufacturer or authors specifications n Between runs 3 30 to 40 samples on separate days »Method/analyst reproducibility »Sample stability l Recovery Study (Spike) n Linearity check 3 Adding known quantity of material being assayed for to previously assayed sample »Check recovery % of amount added; Should be + 5% l Correlation with reference material/laboratory n Reference material maybe available to authenticate results n Reference laboratory can be utilized to authenticate results

13 Method evaluation/Validation cont.) l Sample stability n Sample evaluated over a period of time to determine stability 3 Storage methods »Temperature/Humidity 3 Preservation »pH adjustment l Establishment of range n Normal range 3 Suggested reference range listed with instrument from manufacturer “normal” samples (normal population) from published method l Ongoing demonstration of Capability n Some of the above listed items should be run routinely with each analysis to check that method is under control 3 Blanks 3 External source QC’s 3 Recovery checks (spike)

14 Issues that may impact the method l What can go wrong? l Quality of Supplies/Reagents n Glassware 3 Composition 3 Types n Reagents 3 Chemical grades »Reagent grade »Analytical grade »Chemically Pure »USP and NF »Technical or Commercial grade l Contamination 3 Low levels 3 Solids 3 moisture 3 turbidity

15 Issues that may impact the method (cont.) l Instrumentation n Drift n Detector malfunction n Column integrity n Flow rates l Analyst l In Conclusion n Consider all the factors that may impact your choice of method n Pick a method that suits how you will use the analytical result n Set all limits;ranges and QC determinations for method n Evaluate the method with a “pilot” study if possible n Evaluate possible sources of error n Once method is in use, check performance of the method routinely