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采用 LC-MRM/IDA/EPI 分析方法对 L. 样本中的大麻素图谱进行分析:一种用于品种分类的新方法。

Cannabinoid Profile in L. Samples by Means of LC-MRM/IDA/EPI Analysis: A New Approach for Cultivar Classification.

机构信息

Faculty of Bioscience and Technologies for Food, Agriculture and Environment, University of Teramo, Via R. Balzarini, 1, 64100 Teramo TE, Italy.

出版信息

J Agric Food Chem. 2022 Mar 30;70(12):3907-3916. doi: 10.1021/acs.jafc.1c08235. Epub 2022 Mar 16.

DOI:10.1021/acs.jafc.1c08235
PMID:35294192
Abstract

A new multitarget screening procedure for 36 cannabinoids in 12 L. cultivars (hemp) was developed using multiple reaction monitoring (MRM) coupled with an enhanced product ion (EPI) scan in an information-dependent acquisition (IDA) experiment, which can be performed by means of high-performance liquid chromatography-mass spectrometry (HPLC-MS)/MS analysis. The MRM-IDA-EPI experiment was used for the analysis of hemp samples and the identification of the compounds of interest. It was performed through the comparison of EPI spectra with literature data and with the in-house library. The results, processed by multivariate statistical analysis, showed an accurate classification of the 12 cultivars, emphasizing the synergic contribution of the new cannabinoids recently discovered and showing how the traditional classification based on a common cannabinoid is limiting.

摘要

一种新的多目标筛选程序,用于分析 12 种大麻品种(大麻)中的 36 种大麻素,该程序使用多重反应监测(MRM)与信息依赖性采集(IDA)实验中的增强子离子(EPI)扫描相结合,可通过高效液相色谱-质谱联用(HPLC-MS)/MS 分析来实现。MRM-IDA-EPI 实验用于分析大麻样品并鉴定感兴趣的化合物。它通过将 EPI 光谱与文献数据和内部库进行比较来进行。经过多元统计分析处理的结果准确地对 12 个品种进行了分类,强调了最近发现的新大麻素的协同作用,并展示了基于常见大麻素的传统分类方法的局限性。

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