Where do the Acceptance Criteria in Method Validation Come From? - Webinar Recording

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Mourne Training Services Ltd

Mourne Training Services Ltd

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@DeniseLawlor-q2e
@DeniseLawlor-q2e 4 ай бұрын
do you have an references for what you have discussed that I could look up?
@MTStraining
@MTStraining 4 ай бұрын
General textbooks on analytical chemisty may be helpful for a discussion of errror sources, e.g., 'Fundamentals of Analytical Chemistry', by Skoog et al.
@inticorrientes3129
@inticorrientes3129 2 жыл бұрын
what about Horwitz Ratio as a precision acceptance criteria? what should I look in order to know if it is a good criteria for a particular method?
@MTStraining
@MTStraining 2 жыл бұрын
The examples of acceptance criteria for precision that were presented towards the end of the webinar were actually calculated using the Horwitz equation (RSDR = 2^(1 - 0.5logC)) and I do think that it is a good tool for estimating the expected precision for a given sample. It tends to be slightly pessimistic at high concentrations, and more noticeably so at low trace concentrations.
@tanvirahmedsohag4086
@tanvirahmedsohag4086 3 жыл бұрын
Thanks for the HPLC calculator I use it a lot
@MTStraining
@MTStraining 3 жыл бұрын
Delighted that you are finding the calculator useful! Thank you for the feedback.
@phelanapostol1275
@phelanapostol1275 2 жыл бұрын
Hello, regarding the criteria for the accuracy and precision, what if I am analyzing an analyte with a true concentration of 5000ppm and I quantify it using external calibration with an analytical range of 1ppm to 10ppm, wherein the sample mass was 0.5grams and the total dilution factor of 500 to fit the sample in the calibration curve, what will be my acceptance criteria for accuracy? is it on the level of the analytical range (1-10ppm) or on the level of 5000ppm?
@MTStraining
@MTStraining 2 жыл бұрын
The error that arises as a result of the sample preparation (which includes the dilution step) will relate to the proportion of the component present in the sample, therefore I would advise that you base your acceptance criteria on the actual test material concentration, i.e. 5000ppm
@thehealer8330
@thehealer8330 3 жыл бұрын
this webinar did not provide any information regarding acceptance limit or criteria for validation parameter?? from usp or fda or ich. guideline for acceptance criteria for each parameter of method validation especially accuracy
@MTStraining
@MTStraining 3 жыл бұрын
Hi Muhammad, The simple reason for that is that there are no acceptance criteria provided in the guidelines from ICH and FDA. The purpose of this video is to help you understand the values that people typically use.
@satnamom4667
@satnamom4667 3 жыл бұрын
Hello mam, I like your webinar very much. I have one query... During precision studies, we carry out 6 replicate analysis. The %rsd of these should be calculated of rounded values or unrounded values?
@MTStraining
@MTStraining 3 жыл бұрын
I would advise that the data is expressed in the same way as when you are following the method for a routine analysis. This would typically involve using data with one more decimal place than the final result. For example, if the method is performed in duplicate it is typical to calculate the mean (reportable value) using the unrounded results for each of the duplicate determinations, and then round.
@satnamom4667
@satnamom4667 3 жыл бұрын
@@MTStraining thank you for your response ma'am. But my concern is during routine analysis, the final rounded figure is declared. So while precision studies during validation, the rsd shoud be calculated of 6 rounded off values.... Do you agree? Can you please share me your email id so that I can share a live case....
@dmahmood1991
@dmahmood1991 2 жыл бұрын
@@satnamom4667 Nooooo, dont round!!! All calculations should be done using 5 s.f. (as a guide) once you have calculated then you can round. A lot of calculations are based on the fact that data is normally distributed... however, if all your data is 2.2, 2.2, 2.2, 2.2, 2.2, 2.2 you would have no standard deviation which is obviously not correct. Therefore you are losing valuable information by rounding.
@shoaibfaraizi
@shoaibfaraizi 2 жыл бұрын
Ad hominem.
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