Derivatization, an Applicable Asset for Conventional HPLC Systems without MS Detection in Food and Miscellaneous Analysis.

This study focuses on derivatization, an applicable asset for conventional hplc systems without ms detection in food and miscellaneous analysis.. The research employs high-performance liquid chromatography (HPLC) techniques to address analytical challenges in the pharmaceutical field. One of the most valuable practices for analyzing not-so-analytical-friendly analytes in complex, heterogenous matrices is derivatization. Availability of numerous derivatizing reagents (DRs) makes the modification of analyte more exploitable in terms of an analytical perspective. A wide array of derivatization techniques like... Research Background and Significance High-performance liquid chromatography (HPLC) remains a cornerstone analytical technique in pharmaceutical and food analysis due to its robustness, reproducibility, and versatility. However, many analytes of interest, particularly in complex and heterogeneous matrices, present significant detection challenges when using conventional HPLC systems lacking mass spectrometry (MS) detection. This limitation arises from poor UV absorbance, low volatility, or weak chromophores inherent in certain compounds. Derivatization, the chemical modification of analytes to introduce or enhance detectable functional groups, offers a practical and cost-effective solution. The study by Dogra et al. (2023) explores the strategic implementation of derivatization techniques to extend the applicability of conventional HPLC systems, without the need for costly and complex MS detectors. This approach is particularly significant in pharmaceutical analysis, where precise quantification of active ingredients, metabolites, and impurities is crucial for efficacy and safety. Experimental Design and Methodology The study systematically investigates various deri