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Rapid MALDI-MS Assays for Drug Quantification in Biological Matrices: Lessons Learned, New Developments, and Future
Margaux Fresnais1, Esra Yildirim1, Seda Karabulut1
1Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany.
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is a promising tool for therapeutic drug monitoring. This review details the critical factors for developing validated MALDI-MS assays for drug quantification in biological samples.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Pharmacology
Background:
- Therapeutic drug monitoring (TDM) traditionally relies on methods with limitations in sensitivity and specificity.
- Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) offers potential for TDM but faces challenges in matrix selection and ionization processes.
Purpose of the Study:
- To review the essential developments for establishing MALDI-MS assays for drug quantification in biological matrices.
- To outline parameters for regulatory-compliant bioanalytical method validation using MALDI-MS.
- To identify current challenges and future perspectives for MALDI-MS in TDM.
Main Methods:
- Review of existing literature and case studies on MALDI-MS applications in drug quantification.
- Analysis of critical parameters including matrix suitability, crystallization properties, and MS instrumentation.
- Discussion of regulatory guidelines for bioanalytical method validation.
Main Results:
- Successful development of MALDI-MS assays requires careful consideration of matrix-analyte interactions and crystallization properties.
- Optimization of MS instrumentation is crucial for sensitive detection of low drug concentrations.
- Concrete examples illustrate the steps and challenges in validating MALDI-MS methods for tissue and plasma samples.
Conclusions:
- MALDI-MS can be a powerful technique for therapeutic drug monitoring when key development parameters are controlled.
- Addressing current challenges in matrix selection and automation is necessary for broader adoption.
- Further research and standardization are needed to establish MALDI-MS as a universal TDM method.
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