Comprehensive evaluation of Dendrobium officinale from different geographical origins using near-infrared spectroscopy and chemometrics

Yue Yang; Xiangting She; Xiaoqing Cao; Liuchang Yang; Jiamin Huang; Xu Zhang; Laijin Su; Mingjiang Wu; Haibin Tong; Xiaoliang Ji

doi:10.1016/j.saa.2022.121249

Comprehensive evaluation of Dendrobium officinale from different geographical origins using near-infrared spectroscopy and chemometrics

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Sep 5:277:121249. doi: 10.1016/j.saa.2022.121249. Epub 2022 Apr 18.

Authors

Yue Yang¹, Xiangting She², Xiaoqing Cao², Liuchang Yang², Jiamin Huang², Xu Zhang², Laijin Su², Mingjiang Wu³, Haibin Tong⁴, Xiaoliang Ji⁵

Affiliations

¹ Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China; Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.
² Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China.
³ Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China. Electronic address: wmj@wzu.edu.cn.
⁴ Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China. Electronic address: tonghb@wzu.edu.cn.
⁵ Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China. Electronic address: jixiao556677@wmu.edu.cn.

PMID: 35483257
DOI: 10.1016/j.saa.2022.121249

Abstract

Dendrobium officinale, often used as a kind of tea for daily drinks, has drawn increasing attention for its beneficial effects. Quality evaluation of D. officinale is of great significance to ensure its health care value and safeguard consumers' interest. Given that traditional analytical methods for assessing D. officinale quality are generally time-consuming and laborious, this study developed a comprehensive strategy, with the advantages of being rapid and efficient, enabling the quality evaluation of D. officinale from different geographical origins using near-infrared (NIR) spectroscopy and chemometrics. As the quality indicators, polysaccharides, polyphenols, total flavonoids, and total alkaloids were quantified. Three types of wavelength selection methods were used for model optimization and these were synergy interval (SI), genetic algorithm (GA), and competitive adaptive reweighted sampling (CARS). From the qualitative perspective, the geographical origins of D. officinale were differentiated by NIR spectroscopy combined with partial least squares-discriminant analysis (PLS-DA) and support vector classification (SVC). The PLS models constructed based on the wavelengths selected by CARS yielded the best performance for prediction of the contents of quality indicators in D. officinale. The root mean square error (RMSEP) and coefficient of determination (R_p²) in the independent test sets were 12.7768 g kg^-1 and 0.9586, 1.1346 g kg^-1 and 0.9670, 0.3938 g kg^-1 and 0.8803, 0.0825 and 0.7031 and for polysaccharides, polyphenols, total flavonoids, and total alkaloids, respectively. As for the origin identification, the nonlinear SVC was superior to the linear PLS-DA, with the correct recognition rates in calibration and prediction sets up to 100% and 100%, respectively. The overall results demonstrated the potential of NIR spectroscopy and chemometrics in the rapid determination of quality parameters and geographical origin. This study could provide a valuable reference for quality evaluation of D. officinale in a more rapid and comprehensive manner.

Keywords: Chemometrics; Dendrobium officinale; Near-infrared spectroscopy; Quality assessment.

MeSH terms

Algorithms
Chemometrics
Dendrobium*
Flavonoids
Least-Squares Analysis
Polyphenols / analysis
Polysaccharides
Spectroscopy, Near-Infrared* / methods

Substances

Flavonoids
Polyphenols
Polysaccharides