Knowledge Management System of Kunming Institute of Botany,CAS
A strategy combining solid-phase extraction, multiple mass defect filtering and molecular networking for rapid structural classification and annotation of natural products: characterization of chemical diversity in Citrus aurantium as a case study | |
Wang,Yi-Kun; Xiao,Xue-Rong; Zhou,Zi-Meng; Xiao,Yao; Zhu,Wei-Feng; Liu,Hong-Ning; Li,Fei | |
2021 | |
发表期刊 | ANALYTICAL AND BIOANALYTICAL CHEMISTRY |
ISSN | 1618-2642 |
卷号 | 413期号:11页码:2879-2891 |
摘要 | Medicinal plants are complex chemical systems containing thousands of secondary metabolites. The rapid classification and characterization of the components in medicinal plants using mass spectrometry (MS) remains an immense challenge. Herein, a novel strategy is presented for MS through the combination of solid-phase extraction (SPE), multiple mass defect filtering (MMDF) and molecular networking (MN). This strategy enables efficient classification and annotation of natural products. When combined with SPE and MMDF, the improved analytical method of MN can perform the rapid annotation of diverse natural products in Citrus aurantium according to the tandem mass spectrometry (MS/MS) fragments. In MN, MS2LDA can be initially applied to recognize substructures of natural products, according to the common fragmentation patterns and neutral losses in multiple MS/MS spectra. MolNetEnhancer was adopted here to obtain chemical classifications provided by ClassyFire. The results suggest that the integrated SPE-MMDF-MN method was capable of rapidly annotating a greater number of natural products from Citrus aurantium than the classical MN strategy alone. Moreover, SPE and MMDF enhanced the effectiveness of MN for annotating, classifying and distinguishing different types of natural products. Our workflow provides the foundation for the automated, high-throughput structural classification and annotation of secondary metabolites with various chemical structures. The developed approach can be widely applied in the analysis of constituents in natural products. |
关键词 | Solid-phase extraction Multiple mass defect filtering Molecular networking Natural products annotation Structure and substructure classifications |
DOI | 10.1007/s00216-021-03201-1 |
WOS记录号 | WOS:000637462700002 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.kib.ac.cn/handle/151853/73531 |
专题 | 中国科学院昆明植物研究所 |
作者单位 | 1.Chinese Acad Sci, State Key Lab Phytochem & Plant Resources West Ch, Kunming Inst Bot, Kunming 650201, Yunnan, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangxi Univ Tradit Chinese Med, Academician Workstn, Nanchang 330004, Jiangxi, Peoples R China 4.Sichuan Univ, Lab Metabol & Drug Induced Liver Injury, Frontiers Sci Ctr Dis Related Mol Network, West China Hosp, Chengdu 610041, Sichuan, Peoples R China 5.Sichuan Univ, West China Hosp, Sichuan Univ Oxford Univ Huaxi Gastrointestinal C, Chengdu 610041, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Wang,Yi-Kun,Xiao,Xue-Rong,Zhou,Zi-Meng,et al. A strategy combining solid-phase extraction, multiple mass defect filtering and molecular networking for rapid structural classification and annotation of natural products: characterization of chemical diversity in Citrus aurantium as a case study[J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY,2021,413(11):2879-2891. |
APA | Wang,Yi-Kun.,Xiao,Xue-Rong.,Zhou,Zi-Meng.,Xiao,Yao.,Zhu,Wei-Feng.,...&Li,Fei.(2021).A strategy combining solid-phase extraction, multiple mass defect filtering and molecular networking for rapid structural classification and annotation of natural products: characterization of chemical diversity in Citrus aurantium as a case study.ANALYTICAL AND BIOANALYTICAL CHEMISTRY,413(11),2879-2891. |
MLA | Wang,Yi-Kun,et al."A strategy combining solid-phase extraction, multiple mass defect filtering and molecular networking for rapid structural classification and annotation of natural products: characterization of chemical diversity in Citrus aurantium as a case study".ANALYTICAL AND BIOANALYTICAL CHEMISTRY 413.11(2021):2879-2891. |
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