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基于 LC-MS/MS 的植物基质中结合型酚类化合物测定的预测性多实验方法。

Predictive Multi Experiment Approach for the Determination of Conjugated Phenolic Compounds in Vegetal Matrices by Means of LC-MS/MS.

机构信息

Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100 Teramo, Italy.

出版信息

Molecules. 2022 May 11;27(10):3089. doi: 10.3390/molecules27103089.

Abstract

Polyphenols (PCs) are a numerous class of bioactive molecules and are known for their antioxidant activity. In this work, the potential of the quadrupole/linear ion trap hybrid mass spectrometer (LIT-QqQ) was exploited to develop a semi-untargeted method for the identification of polyphenols in different food matrices: green coffee, L. (saffron) and L. (hop). Several conjugate forms of flavonoids and hydroxycinnamic acid were detected using neutral loss (NL) as a survey scan coupled with dependent scans with enhanced product ion (EPI) based on information-dependent acquisition (IDA) criteria. The presented approach is focused on a specific class of molecules and provides comprehensive information on the different conjugation models that are related to specific base molecules, thus allowing a quick and effective identification of all possible combinations, such as mono-, di-, or tri-glycosylation or another type of conjugation such as quinic acid esters.

摘要

多酚(PCs)是一类具有生物活性的分子,以其抗氧化活性而闻名。在这项工作中,利用四级杆/线性离子阱混合质谱仪(LIT-QqQ)开发了一种半靶向方法,用于鉴定不同食品基质中的多酚:绿咖啡、藏红花和啤酒花。使用中性丢失(NL)作为调查扫描,并结合基于信息依赖采集(IDA)标准的增强子产物离子(EPI)的相关扫描,检测到几种类黄酮和羟基肉桂酸的共轭形式。所提出的方法专注于特定类别的分子,并提供与特定基本分子相关的不同共轭模型的综合信息,从而可以快速有效地识别所有可能的组合,例如单、二或三糖苷化或另一种类型的共轭,如奎尼酸酯。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d8e/9147803/016aa0e2592e/molecules-27-03089-g001.jpg

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