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Paradigm Shift in the Arena of Sample Preparation and Bioanalytical Approaches Involving Liquid Chromatography Mass Spectroscopic Technique

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Abstract

Sample preparation is a highly important and integral part of bioanalysis for cleaning up the complex biological matrices and thereby minimizing matrix effect. Matrix effect can jeopardize the precise quantification and adversely affect the reliability of liquid chromatography–mass spectrometry-based analytical results by alteration of analyte ionization. Matrix components result in suppression or enhancement of the intensity of analyte response. In spite of the high specificity and selectivity of tandem mass spectrometry, a relatively higher concentration of coeluted matrix elements present in biofluids may alter the efficiency of quantification of a bioanalytical method. Numerous literature reports different types of sample preparation techniques employed in bioanalysis. In this review, the strategies for selection of the appropriate sample clean-up technique in bioanalysis are discussed extensively. A paradigm shift in the arena of sample preparation and bioanalytical approaches involving the liquid chromatography–mass spectroscopic technique has been scrutinized. Current trends and possible future advancements in the field of biological sample extraction methods, including instrumental techniques are analyzed in detail.

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Acknowledgments

We are thankful to NIPER-Ahmedabad and Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Govt. of India for providing the necessary facilities and supports.

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  1. Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad, Palaj, Gandhinagar, Gujarat, 382355, India

    Manish Kumar Sharma, Pooja Dhakne, Sidhartha Nn, P Ajitha Reddy & Pinaki Sengupta

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  1. Manish Kumar Sharma
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Sharma, M.K., Dhakne, P., Nn, S. et al. Paradigm Shift in the Arena of Sample Preparation and Bioanalytical Approaches Involving Liquid Chromatography Mass Spectroscopic Technique. ANAL. SCI. 35, 1069–1082 (2019). https://doi.org/10.2116/analsci.19R003

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