文献类型：期刊文献

英文题名：Chemical Signature of Proximate and Ultimate Compositions of Radix Angelicae Sinensis

作者：Li, Boyan[1]; Wang, Zihan[1]; Hu, Yun[2]; Zhang, Jin[1]; Zhang, Junhan[3]; Pan, Xinbo[3]; Wang, Yali[3]

第一作者：Li, Boyan

机构：[1] School of Public Health, Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang, 550025, China; [2] Technology Center of China Tobacco Guizhou Industrial Co., Ltd., Guiyang, 550009, China; [3] School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, 730000, China

第一机构：School of Public Health, Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang, 550025, China

年份：2023

外文期刊名：SSRN

收录：EI(收录号：20230168158)

语种：英文

外文关键词：Absorption spectroscopy - Atomic absorption spectrometry - Inductively coupled plasma mass spectrometry - Infrared devices - Mass spectrometers - Multivariant analysis - Plants (botany) - Quality control - Support vector machines

摘要：Angelica sinensis (Oliv.) Diels is a perennial herbaceous plant. Its dried root, referred to as Radix Angelicae Sinensis (RAS), consists of a large variety of volatile substances, polysaccharides, organic acids, amino acids, vitamins, microelements, and others. RAS has been used for edible and medicinal purposes over two thousand years. This work was dedicated to the characteristic signatures of powdered RAS materials, methanol and aqueous solutions using high performance liquid chromatography (HPLC), fluorescence excitation-emission matrix (EEM), near-infrared (NIR), inductively coupled plasma-mass spectrometry (ICP-MS), and atomic absorption spectroscopy (AAS) techniques. We took a holistic strategy to develop an efficient and reliable methodology to screen RAS batches concerning the compositional characterization and quality evaluation. Proximate and ultimate substances were accurately determined for the RAS materials in a number of batches sourced from five different geographical origins in Gansu province, China. Satisfactory sample discrimination was achieved through HPLC-support vector machine (SVM) and NIR-principal discriminant variate (PDV) models. Abnormal samples were winnowed in a significantly statistical sense, which was valuable to evaluate the material quality. The work provided a useful reference chemical signature to the fingerprint authentication and quality evaluation of RAS materials and helped promote its utility. ? 2023, The Authors. All rights reserved.