Matrix effect management in liquid chromatography mass spectrometry: the internal standard normalized matrix effect
- 1 July 2017
- journal article
- review article
- Published by Future Science Ltd in Bioanalysis
- Vol. 9 (14), 1093-1105
- https://doi.org/10.4155/bio-2017-0059
Abstract
LC–MS is becoming a standard for many applications, thanks to high sensitivity and selectivity; nevertheless, some issues are still present, particularly due to matrix effect (ME). Considering this, the use of optimal internal standards (ISs, usually stable-isotope labeled) is important, but not always possible because of cost or availability. Therefore, a deep investigation of the inter-lot variability of the ME and of the correcting power of the chosen IS (isotope-labeled or not) is mandatory. While the adoption of isotopically labeled ISs considered as a ‘gold standard’ to mitigate ME impact on analytical results, there is not consensus about the standard technique to evaluate it during method validation. In this paper, currently available techniques to evaluate, reduce or counterbalance ME are presented and discussed. Finally, these techniques were summarized in a flowchart for a robust management of ME, particularly considering the concept of ‘internal standard normalized ME’.Keywords
This publication has 75 references indexed in Scilit:
- Bioanalytical Method Validation Considerations for LC–MS/MS Assays of Therapeutic ProteinsBioanalysis, 2015
- Matrix effect and methods for its elimination in bioanalytical methods using chromatography-mass spectrometryJournal of Analytical Chemistry, 2014
- Pitfalls Associated with the Use of Liquid Chromatography–Tandem Mass Spectrometry in the Clinical LaboratoryClinical Chemistry, 2010
- Liquid chromatography-tandem mass spectrometry applications in endocrinologyMass Spectrometry Reviews, 2009
- Validation of bioanalytical LC–MS/MS assays: Evaluation of matrix effectsJournal of Chromatography B, 2009
- Current role of LC-MS in therapeutic drug monitoringAnalytical and Bioanalytical Chemistry, 2007
- Standard line slopes as a measure of a relative matrix effect in quantitative HPLC–MS bioanalysisJournal of Chromatography B, 2006
- Bioanalytical Method Validation for Macromolecules in Support of Pharmacokinetic StudiesPharmaceutical Research, 2005
- Matrix effects: the Achilles heel of quantitative high-performance liquid chromatography–electrospray–tandem mass spectrometryClinical Biochemistry, 2005
- Strategies for the Assessment of Matrix Effect in Quantitative Bioanalytical Methods Based on HPLC−MS/MSAnalytical Chemistry, 2003