Rapid evaluation of the quality of Smilax glabra Roxb. using QADS based on FT-NIR combined with multiple intelligent algorithms.

Autor: Zhan GZ; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Guo XY; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Qiu ZC; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Cai LY; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Hu Q; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Gao Y; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Tang SW; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China., Li CY; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China; National Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 211100, China; Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing University of Chinese Medicine, Nanjing 210023, China; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China., Zheng YF; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China; National Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 211100, China; Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing University of Chinese Medicine, Nanjing 210023, China; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China. Electronic address: zyunfeng@njucm.edu.cn., Peng GP; Department of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China; National Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 211100, China; Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing University of Chinese Medicine, Nanjing 210023, China; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China. Electronic address: guopingpeng@126.com.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2024 Sep 30; Vol. 453, pp. 139633. Date of Electronic Publication: 2024 May 11.
DOI: 10.1016/j.foodchem.2024.139633
Abstrakt: Smilax glabra Roxb. (SGR) is known for its high nutritional and therapeutic value. However, the frequent appearance of counterfeit products causes confusion and inconsistent quality among SGR varieties. Herein, this study collected the proportion of SGR adulteration and used high-performance liquid chromatography (HPLC) to measure the astilbin content of SGR. Then Fourier-transform near-infrared (FT-NIR) technology, combined with multivariate intelligent algorithms, was used to establish partial least squares regression quantitative models for detecting SGR adulteration and measuring astilbin content, respectively. The method conducted a quantitative analysis of dual indicators through single-spectrum data acquisition (QADS) to comprehensively evaluate the authenticity and superiority of SGR. The coefficients of determination (R 2 ) for both the calibration and prediction sets exceeded 0.96, which successfully leverages FT-NIR combined with multivariate intelligent algorithms to considerably enhance the accuracy and reliability of quantitative models. Overall, this research holds substantial value in the comprehensive quality evaluation in functional health foods.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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