Influence of Soil Characteristics on the Phytochemistry of Evergreen Ivy (Hedera helix L.) Leaves in Deciduous Forests.

IF 2.3 3区 化学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Elif Begüm Yıldırım, Gülçin Özer, Nisa Beril Sen, Emrah Özdemir, Ender Makineci, Durmuş Özdemir, Etil Guzelmeric
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引用次数: 0

Abstract

The evergreen ivy (Hedera helix L.), traditionally used to treat respiratory conditions, contains triterpene saponins, primarily hederacoside C, and various phenolic compounds. This study investigated the relationships between the chemical composition of ivy leaves and their natural growing conditions (moisture, temperature, pH, and electrical conductivity of soil). Ivy leaves were collected monthly over 1 year from oak and beech forests. Hederacoside C, rutin, chlorogenic acid (ChA), neoChA, 4,5-dicaffeoylquinic acid (DCQA), and 3,5-DCQA were analyzed by high-performance thin-layer chromatography (HPTLC) and high-performance liquid chromatography (HPLC). Soil parameter data, along with the quantitative HPLC results of ivy leaves, were first subjected to bivariate analysis, which revealed significant correlations, particularly between soil moisture, soil temperature, and the chemical composition of ivy leaves. In addition, ivy samples were classified and clustered based on seasons by principal component analysis (PCA) and hierarchical cluster analysis (HCA), regardless of their collection sites. Digitized HPTLC chromatograms were evaluated by PCA and partial least squares discriminant analysis (PLS-DA) analyses; PCA enabled the grouping of ivy leaves based on their collection sites, and PLS-DA categorized the samples by seasons. The evaluation of the relationships between the phytochemistry of ivy leaves and their natural growing conditions has been reported for the first time.

土壤特征对常绿常春藤植物化学的影响落叶林中的叶子。
常绿常春藤(Hedera helix L.),传统上用于治疗呼吸系统疾病,含有三萜皂苷,主要是hederacoside C,和各种酚类化合物。研究了常青藤叶片化学成分与其自然生长条件(土壤湿度、温度、pH值和电导率)之间的关系。在一年多的时间里,每月从栎林和山毛榉林中收集常青藤叶子。采用高效薄层色谱(HPTLC)和高效液相色谱(HPLC)法对草皮苷C、芦丁、绿原酸(ChA)、新茶酸(neoChA)、4,5-二咖啡基奎宁酸(DCQA)和3,5-DCQA进行分析。首先对土壤参数数据和常青藤叶片的高效液相色谱(HPLC)结果进行双变量分析,发现土壤湿度、土壤温度与常青藤叶片化学成分之间存在显著的相关性。此外,利用主成分分析(PCA)和层次聚类分析(HCA)对不同采集地点的常青藤样本进行了季节分类和聚类。采用主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)对数字化HPTLC图谱进行评价;PCA可以根据收集地点对常春藤叶子进行分组,PLS-DA可以按季节对样本进行分类。本文首次报道了常青藤叶片的植物化学与自然生长条件之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemistry & Biodiversity
Chemistry & Biodiversity 环境科学-化学综合
CiteScore
3.40
自引率
10.30%
发文量
475
审稿时长
2.6 months
期刊介绍: Chemistry & Biodiversity serves as a high-quality publishing forum covering a wide range of biorelevant topics for a truly international audience. This journal publishes both field-specific and interdisciplinary contributions on all aspects of biologically relevant chemistry research in the form of full-length original papers, short communications, invited reviews, and commentaries. It covers all research fields straddling the border between the chemical and biological sciences, with the ultimate goal of broadening our understanding of how nature works at a molecular level. Since 2017, Chemistry & Biodiversity is published in an online-only format.
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