化学
线性判别分析
根(腹足类)
荧光
主成分分析
表征(材料科学)
近红外光谱
分析化学(期刊)
色谱法
统计
数学
纳米技术
植物
心理学
物理
材料科学
量子力学
生物
神经科学
作者
Zihan Wang,Boyan Li,Yun Hang Hu,Jin Zhang,Junhan Zhang,Xinbo Pan,Yali Wang
标识
DOI:10.1080/00032719.2023.2259025
摘要
AbstractAngelica sinensis (Oliv.) diels is a perennial herbaceous plant. Its dried root, referred to as radix Angelicae sinensis (RAS), has been used for edible and medicinal purposes. This study is dedicated to spectroscopic characterization and quality detection of RAS powder material or aqueous solution using fluorescence excitation–emission matrix and near-infrared (NIR) spectroscopies. It is the first time that the fluorescence combined with net analyte signal–classical least-squares was able to accurately determine two active substances in 131 RAS batches from five geographical origins in Gansu, China. The concentrations of Z-ligustilide and L-tryptophan were 1.17 ± 0.43 mg g−1 and 0.59 ± 0.19 mg g−1, respectively. A satisfactory NIR-principal discriminant variate model was achieved, enabling the RAS batches to be discriminated by the location. The correct discrimination rates reached 100% for calibration and 87.50% for validation. The work provides an alternative and holistic strategy for reliable fingerprint authentication of RAS materials and helps promote its utility.Keywords: Radix Angelicae sinensiscompositional fingerprintfluorescencemultiplicative scatter correctionmultivariate statistical analysisnear-infrared (NIR) spectroscopyprincipal discriminant variate Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that influenced the work reported in this paper.Additional informationFundingThis work was supported by the National Natural Science Foundation of China (Grants 21864008, 82060712 and 22004022), the Guizhou Provincial Science and Technology Projects (Grants [2018]1130 and ZK[2021]045), and the Key R&D Program of Science and Technology Department of Gansu Province, China (Grant 20YF8NA067).
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