Matrix effect management in liquid chromatography mass spectrometry: the internal standard normalized matrix effect
Amedeo De Nicolò1, Marco Cantù2, Antonio D'Avolio1
1Laboratory of Clinical Pharmacology & Pharmacogenetics, Unit of Infectious Diseases, Department of Medical Sciences, 'Amedeo di Savoia' Hospital, University of Turin, 10149 Turin, Italy.
Matrix effects in Liquid Chromatography-Mass Spectrometry (LC-MS) can be managed. This study presents techniques to evaluate and reduce matrix effects, offering a flowchart for robust management, especially using internal standards.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Pharmacology
Background:
- Liquid Chromatography-Mass Spectrometry (LC-MS) is a widely used technique for its high sensitivity and selectivity.
- Matrix effects (ME) remain a significant challenge in LC-MS, potentially compromising analytical accuracy.
- Optimal internal standards (ISs), often stable-isotope labeled, are crucial for mitigating ME but may not always be feasible due to cost or availability.
Purpose of the Study:
- To comprehensively review and discuss current techniques for evaluating, reducing, and counterbalancing matrix effects in LC-MS.
- To investigate the inter-lot variability of ME and the effectiveness of different internal standards in correcting these effects.
- To provide a standardized approach for managing ME during method validation.
Main Methods:
- Review and critical discussion of existing methodologies for matrix effect assessment and mitigation.
- Evaluation of the correcting power of various internal standards, including both isotope-labeled and non-labeled options.
- Development of a flowchart for robust matrix effect management, incorporating the concept of internal standard normalized ME.
Main Results:
- Identified and analyzed various techniques currently employed to address matrix effects in LC-MS.
- Highlighted the importance of investigating inter-lot variability of ME and the performance of chosen ISs.
- Proposed a systematic flowchart to guide researchers in managing matrix effects, emphasizing the 'internal standard normalized ME'.
Conclusions:
- Effective management of matrix effects is essential for reliable LC-MS results.
- A standardized approach, as outlined in the proposed flowchart, can enhance the robustness of LC-MS methods.
- Further consensus on the best practices for evaluating internal standards in the context of matrix effects is needed.
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