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塞尔维亚挥发物的化学特征分析

Chemical Characterization of Volatiles from Serbia.

作者信息

Aćimović Milica, Ivanović Stefan, Simić Katarina, Pezo Lato, Zeremski Tijana, Ovuka Jelena, Sikora Vladimir

机构信息

Institute of Field and Vegetable Crops Novi Sad, Maksima Gorkog 30, 21000 Novi Sad, Serbia.

Institute of Chemistry, Technology and Metallurgy, University of Belgrade, 11000 Belgrade, Serbia.

出版信息

Plants (Basel). 2021 Mar 23;10(3):600. doi: 10.3390/plants10030600.

DOI:10.3390/plants10030600
PMID:33806732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8004588/
Abstract

is a cosmopolitan medicinal plant from the Lamiaceae family, which produces structurally highly diverse groups of secondary metabolites. A total of 160 compounds were determined in the volatiles from Serbia during two investigated years (2019 and 2020). The main components were -caryophyllene, followed by germacrene D, -humulene and -copaene. All these compounds are from sesquiterpene hydrocarbons class which was dominant in both investigated years. This variation in volatiles composition could be a consequence of weather conditions, as in the case of other aromatic plants. According to the unrooted cluster tree with 37 samples of sp. volatiles from literature and average values from this study, it could be said that there are several chemotypes: -caryophyllene, -bisabolene, α-pinene, β-farnesene, -caryophyllene + caryophyllene oxide chemotype, and diverse (unclassified) chemotypes. However, occurring polymorphism could be consequence of adaptation to grow in different environment, especially ecological conditions such as humidity, temperature and altitude, as well as hybridization strongly affected the chemotypes. In addition, this paper aimed to obtain validated models for prediction of retention indices (RIs) of compounds isolated from volatiles. A total of 160 experimentally obtained RIs of volatile compounds was used to build the prediction models. The coefficients of determination were 0.956 and 0.964, demonstrating that these models could be used for predicting RIs, due to low prediction error and high .

摘要

是一种来自唇形科的世界性药用植物,它能产生结构高度多样的次生代谢产物群体。在2019年和2020年这两个调查年份中,共测定了来自塞尔维亚的挥发物中的160种化合物。主要成分是β-石竹烯,其次是杜松烯D、α-葎草烯和β-古巴烯。所有这些化合物都属于倍半萜烃类,在两个调查年份中均占主导地位。挥发物成分的这种变化可能是天气条件造成的,就像其他芳香植物的情况一样。根据包含来自文献的37个迷迭香叶挥发物样本和本研究平均值的无根聚类树,可以说存在几种化学型:β-石竹烯、β-红没药烯、α-蒎烯、β-法呢烯、β-石竹烯 + 石竹烯氧化物化学型以及多样的(未分类)化学型。然而,出现的多态性可能是适应在不同环境中生长的结果,特别是湿度、温度和海拔等生态条件,以及杂交对化学型有强烈影响。此外,本文旨在获得用于预测从迷迭香叶挥发物中分离出的化合物保留指数(RIs)的验证模型。总共160个通过实验获得的挥发性化合物的保留指数用于构建预测模型。决定系数分别为0.956和0.964,表明由于预测误差低和[此处原文缺失内容]高,这些模型可用于预测保留指数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/fe315cddc262/plants-10-00600-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/e05e3717051a/plants-10-00600-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/a6fc4695bca6/plants-10-00600-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/03fd2bc7d305/plants-10-00600-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/fe315cddc262/plants-10-00600-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/e05e3717051a/plants-10-00600-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/a6fc4695bca6/plants-10-00600-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/03fd2bc7d305/plants-10-00600-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24d6/8004588/fe315cddc262/plants-10-00600-g004.jpg

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