Fangfang Wang , Lihua Zuo , Mengyuan Lv , Yuyang Wang , Ruobing Ren , Di Chen , Zhi Sun
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Advances in online derivatization for liquid chromatography-mass spectrometry: Automation and performance enhancement
Online derivatization coupled with liquid chromatography-mass spectrometry (LC-MS) has become a powerful method for analyzing target compounds in complex samples. It improves detectability, separation efficiency, sensitivity, selectivity, and overall data quality, particularly for weakly ionizable analytes. By automating sample pretreatment and analysis, it increases throughput, reproducibility, and reduces time, labor, and costs. Various online derivatization strategies, including pre-column, on-column, and post-column methods, have been developed, each with unique configurations and applications. Despite significant research, existing reviews typically focus on specific aspects like offline derivatization or reagents, leaving gaps in comprehensive coverage. This article provides an overview of recent online derivatization approaches, discussing their advantages, disadvantages, applications, and offering guidance for selecting the most suitable techniques for different scenarios.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.