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综合高通量方法用于定量分析酚类化合物的指纹图谱。

Comprehensive and High-Throughput Method for Quantitative Fingerprinting of Phenolic Compounds.

机构信息

Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain.

Agrifood Laboratory, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain.

出版信息

Methods Mol Biol. 2023;2571:1-12. doi: 10.1007/978-1-0716-2699-3_1.

Abstract

Accurate, robust, and wide-coverage analytical tools are needed in polyphenol research to deal with the high physicochemical complexity of the secondary plant metabolome. In this chapter, a novel method based on reversed-phase ultrahigh-performance liquid chromatography coupled with a diode array detector and mass spectrometry is presented, which enables high-throughput, comprehensive, and quantitative fingerprinting of a broad spectrum of phenolic compounds and related metabolites in different food products. The simplicity, low-cost, and excellent analytical performance of this method would facilitate its implementation in food science for quality control and authenticity purposes.

摘要

在多酚研究中,需要准确、稳健且覆盖范围广的分析工具来处理次生植物代谢组的高度物理化学复杂性。在本章中,提出了一种基于反相超高效液相色谱与二极管阵列检测器和质谱联用的新方法,该方法能够高通量、全面、定量地分析不同食品中广泛的酚类化合物和相关代谢物的指纹图谱。该方法简单、低成本且具有出色的分析性能,将有助于其在食品科学中用于质量控制和真实性目的。

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