Method validation

Risk assessments in method validation

Written by Dr. Janet Thode on . Posted in Method validation

Risk assessments are a good thing and can make life easier in the pharmaceutical environment. Everywhere it is said that this or that has to be or has been defined "risk-based"...

Hmm, all well and good, but where are the potential applications in the validation of analytical methods?

We’d like to make a deep dive into this question in today's blog post.

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Verification of a compendial method: Water Determination by Karl Fischer Titration

Written by Dr. Janet Thode on . Posted in Method validation

In lyophilizates of pharmaceutical drugs, the residual moisture content must be determined. It must be as low as possible in order to delay possible degradation reactions during storage and thus ensure the declared shelf life. Such a water determination can be performed applying the Karl Fischer titration. This titration method is a widely used procedure for quantitative water determination in a variety of samples and was developed by Karl Fischer in 1935. In the European Pharmacopoeia (Ph. Eur.), chapter 2.5.12 covers the volumetric (semi-micro) determination and chapter 2.5.32 covers the coulometric titration. The choice of method is primarily based on the amount of water present in the sample.

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Limit tests - (when) do they play a role?

Written by Dr. Janet Thode on . Posted in Method validation

Purity determinations are applied as part of the quality control of pharmaceuticals, their active pharmaceutical ingredients (and, if applicable, their excipients in case they are not yet obtained in compendial quality). This includes quantitative determinations, resulting in a definite statement of the quantity or concentration, as well as qualitative / semi-quantitative determinations with results allowing only conclusions to be drawn as to whether the impurity is present or not or whether it is below a certain limit value. Such determinations are also known as "limit tests". Some people will think back to a laboratory practical training in drug analysis during their studies with more or less enthusiasm when they hear the word "limit test"...

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Calculation template for the evaluation of precision during method validations

Written by Dr. Janet Thode on . Posted in Method validation

To make work easier, I’d like to continue with our already started template series and today I’d like to post a template that can be used during method validations to evaluate the validation parameter precision (including repeatability, instrumental precision, and two versions for intermediate precision).

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Using the relative response for method validations and routine measurements

Written by Dr. Janet Thode on . Posted in Method validation

A wide variety of analysis methods are used in the pharmaceutical quality control laboratory. In addition to methods to proof the identity of the active pharmaceutical ingredient and qualitative tests, quantitative determinations are also included. A (calibration) standard of different concentrations is run in parallel within each analysis and the intensity of the measurement signal (detector response) is then plotted against the concentration.

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Template for linearity calculations of method validations

Written by Dr. Janet Thode on . Posted in Method validation

During method validations in pharmaceutical QC laboratories or commissioned contract laboratories, different validation parameters have to be checked. For quantitative impurity determinations and assays, such as content determinations of the active pharmaceutical ingredient or potency tests, studies of the linearity are required according to the method validation guideline ICH Q2(R1).

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Intermediate precision

Written by Dr. Janet Thode on . Posted in Method validation

When evaluating quantitative analytical quality control methods regarding their fitness for purpose during method validation, the validation parameter “intermediate precision” must also be considered. The term “intermediate precision” might also appear under the following names:

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