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Tutorial review on validation of liquid chromatography-mass spectrometry methods: part I
Anneli Kruve1, Riin Rebane1, Karin Kipper1
1University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia.
This tutorial review provides an overview of method validation in liquid chromatography-mass spectrometry (LC-MS). It covers key performance parameters like selectivity, limit of detection, and limit of quantification for LC-MS methods.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Chromatography
Background:
- Method validation is crucial for reliable analytical results.
- Liquid chromatography-mass spectrometry (LC-MS) offers sensitive detection but presents unique validation challenges compared to conventional detectors.
- Existing guidelines need specific interpretation for LC-MS applications.
Purpose of the Study:
- To provide a state-of-the-art overview of method validation in LC-MS.
- To discuss specific validation issues pertinent to MS and MS/MS detection in LC.
- To offer recommendations for determining key performance parameters in LC-MS methods.
Main Methods:
- Review of operational principles of LC-MS, focusing on ionization processes and suppression/enhancement effects relevant to validation.
- Comprehensive review of major method validation guideline documents.
- Detailed discussion and recommendations for evaluating selectivity/specificity/identity, ruggedness/robustness, limit of detection (LOD), limit of quantification (LOQ), decision limit (CCα), and detection capability (CCβ).
Main Results:
- Clarification of terminology and current practices for essential validation parameters in LC-MS.
- Identification of specific challenges in LC-MS method validation, including ionization-related phenomena.
- Proposed approaches for determining performance characteristics tailored to LC-MS.
Conclusions:
- A clear understanding of validation principles and specific LC-MS issues is essential for robust method development.
- Standardized approaches to evaluating performance parameters are recommended for LC-MS applications.
- This review serves as a guide for researchers and practitioners in validating LC-MS methods.
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