Detection of the Adulteration of Dendrobium Huoshanense with Dendrobium Henanense by UV-Vis-Shortwave Near-Infrared Diffuse Reflectance Spectroscopy Combined with Chemometrics

Author:

Hao Jing-Wen12,Chen Nai-Dong123ORCID,Liu Xiao-Quan13,Li Qiang13,Xu Hui-Min13,Yang Wei-Han13,Qin Chao-Feng13,Bu Ya-Qing13

Affiliation:

1. West Anhui University, College of Biotechnology and Pharmaceutical Engineering , Lu’an City 237012, China

2. Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resource , Lu’an City 237012, China

3. Anhui University of Chinese Medicine, College of Pharmacy , No.1 Qianjian Rd , Hefei City, Anhui Province 230012, P. R. China

Abstract

Abstract Background Dendrobium huoshanense (DHS) is a classic traditional Chinese medicine (TCM) with distinctive medicinal benefits and great economic worth; nevertheless, because of similar tastes and looks, it is simple to adulterate with less expensive substitutes (such as Dendrobium henanense [DHN]). Objective This work aimed to develop a reliable tool to detect and quantify the adulteration of DHS with DHN by using UV-Vis-shortwave near-infrared diffuse reflectance spectroscopy (UV-Vis-SWNIR DRS) combined with chemometrics. Methods Adulterated samples prepared in varying concentrations (0–100%, w/w) were analyzed with UV-Vis-SWNIR DRS methods. Partial least-square-discriminant analysis (PLS-DA) and partial least-squares (PLS) regression techniques were used for the differentiation of adulterated DHN from pure DHS and the prediction of adulteration levels. Results The PLS-DA classification models successfully differentiated adulterated and nonadulterated DHS with an over 100% correct classification rate. UV-Vis-SWNIR DRS data were also successfully used to predict adulteration levels with a high coefficient of determination for calibration (0.9924) and prediction (0.9906) models and low error values for calibration (3.863%) and prediction (5.067%). Conclusion UV-Vis-SWNIR DRS, as a fast and environmentally friendly tool, has great potential for both the identification and quantification of adulteration practices involving herbal medicines and foods. Highlights UV-Vis-SWNIR DRS combined with chemometrics can be applied to identify and quantify the adulteration of herbal medicines and foods.

Funder

Anhui Scientific Research and Innovation Team of Quality Evaluation and Improvement of Traditional Chinese Medicine

Major Science and Technology Projects of Anhui Province

National Natural Science Foundation of China

School Level Projects of West Anhui University

Provincial Level Nature Science Foundation of Anhui Education Department

Open Fund of Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources

Anhui Rural Revitalization of Traditional Chinese Medicine Industry Collaborative Technology Service Center

Publisher

Oxford University Press (OUP)

Subject

Pharmacology,Agronomy and Crop Science,Environmental Chemistry,Food Science,Analytical Chemistry

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