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Updated: May 23, 2025

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Best Practices and Recommendations for Non-Liquid Matrices Bioanalysis.

Faye Vazvaei-Smith1, Wenkui Li2, Omar S Barnaby3

  • 1Merck & Co., Inc., West Point, Pennsylvania, 19486, USA. fataneh.vazvaei-smith@merck.com.

The AAPS Journal
|March 12, 2025
PubMed
Summary
This summary is machine-generated.

This paper provides essential best practices for analyzing non-liquid matrices (NLMs) in drug development. It addresses challenges and offers guidance for quantitative NLM bioanalysis to advance drug discovery.

Keywords:
PK/PDbioanalysisbiomarkerscellsfit-for-purpose validationlysatesnon-liquid matricespharmacokineticstissue

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Area of Science:

  • Pharmacokinetics and Drug Metabolism
  • Analytical Chemistry
  • Biopharmaceutical Sciences

Background:

  • Non-liquid matrices (NLMs) are crucial for understanding drug uptake, distribution, engagement, and target exposure in drug discovery and development.
  • Quantitative analysis of NLMs is fundamental for drug development progression.
  • Current bioanalytical practices for liquid matrices are not directly applicable to NLMs, creating bottlenecks.

Purpose of the Study:

  • To establish a comprehensive set of best practices for the bioanalysis of non-liquid matrices (NLMs) in drug development.
  • To address the lack of literature and standardized methodologies for NLM bioanalysis.
  • To provide guidance based on collective industry expertise.

Main Methods:

  • Compilation of collective best practices from subject matter experts across the pharmaceutical industry.
  • Leveraging the AAPS Bioanalytical Community to consolidate industry knowledge.
  • Focus on addressing challenges in NLM bioanalysis, including different matrix types and analytical rigor.

Main Results:

  • Development of a comprehensive guide for NLM bioanalysis.
  • Identification and mitigation of challenges specific to NLM quantification.
  • Standardization of practices for improved drug development efficiency.

Conclusions:

  • The established best practices will facilitate more robust and reliable NLM bioanalysis.
  • Implementing these guidelines will help overcome current bottlenecks in drug development.
  • This work serves as a foundational resource for scientists performing NLM bioanalysis.