UPLC-Q-TOF-MS化学计量学方法分析药用网状柑橘品种和地区差异的非挥发性成分。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-12-28 DOI:10.1002/pca.3496
Fang-Qing Yang, Xiang-Mei Tan, Shan-Shan Chu, Min-Zhen Yin, Zhen-Yu Zhang, Hua-Sheng Peng
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引用次数: 0

摘要

柑橘网皮(Citri Reticulatae Pericarpium, CRP),又称陈皮,是柑橘(Citrus reticulata Blanco)或其栽培品种的干燥成熟果皮。CRP作为保健食品和膳食补充剂已广泛应用于各种疾病。CRP的质量受多种因素影响,这些因素与CRP的代谢物组成密切相关。目的:对不同产地的8个药用品种51份黄皮药材样品的化学特征进行综合比较分析,为黄皮药材药效物质基础研究和质量控制提供方法学参考。方法:首先,采用四极杆飞行时间质谱(UPLC-Q-TOF-MS)进行全面表征,并采用热图可视化来阐明所标注活性成分的分布。此外,获得的化学剖面数据采用多元统计方法,包括主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)。结果:共有42种化学成分被标注为正离子模式。不同药用品种间有效成分的相对含量差异明显;其中,“大红袍”中多甲氧基黄酮含量较高;其中,褐皮素和橘皮素是CRP的主要活性成分。此外,不同产地的“大红袍”和“云杉”的化学成分相对含量差异较小。与生产产地相比,品种对品质的影响更大。结论:本工作有助于更好地了解网麻药用品种的化学特征,为网麻药用品种的合理适用和质量控制提供依据。
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UPLC-Q-TOF-MS With Chemometrics Approach Analysis of Nonvolatile Compounds for Medicinal Citrus reticulata With Cultivar and Areas Variations.

Introduction: Citri Reticulatae Pericarpium (CRP), also known as Chenpi in Chinese, is the dry mature peel of Citrus reticulata Blanco or its cultivated varieties. CRP as the health-care food and dietary supplement has been widely used in various diseases. The quality of CRP can be affected by various factors, which are closely related to the metabolite composition of CRP.

Objectives: The objective of this study is to conduct a comprehensive comparative analysis on the chemical profiling of 51 C. reticulata samples of eight medicinal varieties, grown in different areas, and provide a methodological reference for the study of pharmacodynamic material bases and quality control of C. reticulata.

Methodology: Initially, a comprehensive characterization was performed using quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS), and a heatmap visualization was employed for clarifying the distribution of the annotated active ingredients. Furthermore, obtained chemical profiles data were employed in multivariate statistical methods, comprising principal component analysis (PCA), and orthogonal partial least-squares-discrimination analysis (OPLS-DA).

Results: A total of 42 chemical components were annotated in positive ion mode. The relative contents were evident differences in the active ingredients of medicinal varieties of C. reticulata; mostly, polymethoxy flavones (PMFs) in C. reticulata "Dahongpao" were more abundant; among them, nobiletin and tangeretin are the main active ingredients in CRP. In addition, the relative contents of chemical constituents of C. reticulata "Dahongpao" and C. reticulata "Unshiu" from different areas were less variable. Compared with production origins, the varieties of C. reticulata had a greater impact on quality.

Conclusion: This work obtains a better understanding of the chemical profiles of medicinal varieties of C. reticulata, facilitated the reasonable applicability and quality control of medicinal varieties of C. reticulata.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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