FDA Guidance on analytical procedures and methods validation published
Recommendation

3/4 February 2026
Evaluation, Implementation and Use of Suitable Technologies
The Guidance for Industry entitled "Analytical Procedures and Methods Validation for Drugs and Biologics" was published by FDA on 27 July 2015. It replaces the draft document which appeared in February 2014.
Apart from editorial amendmends the current guidance differs from the previous version mainly with respect to the following aspects:
- A risk based approach on the need for revalidation of existing analytical methods is encouraged when changes in the manufacturing process occur during the product's lifecycle. Likewise applicants are required to periodically evaluate the appropriateness of a product's analytical methods in case of new information e.g. regarding the product CQAs or the impurity profile. New or alternative analytical methods based on risk assessments should then be considered.
- Appropriate statistical methods should be selected among the variety of statistical techniques and appropriate literature should be consulted for information on statistical procedures when
- developing new test methods
- evaluating existing test methods
- evaluating measurement system performance
- interpreting or treating of analytical data like determining equivalence of two test methods.
Important: the data analysis should be assured either by using appropriately validated software or independent verification for correctness.
Moreover chapter X. "References" has been updated by including revised gudelines, newly edited articles and three ASTM Standard Guides.
Related GMP News
26.11.2025FDA Warning Letter Highlights Deficiencies in SST and HPLC Practices
13.11.2025Proposed Revision of USP <1225> Published in the Pharmacopeial Forum
13.11.2025Recent Publications Highlighting Topics to be Discussed at PharmaLab 2025
12.11.2025USP seeks early Input on new NMR Method
12.11.2025FDA Warning Letter: Several Analytical Deficiencies Identified at Chinese Manufacturer


