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| Discrimination of Fritillariae thunbergii Bulbus Treated by Sulfur Fumigation Based on NIR Coupled with PLS-DA |
| HE Juan1, ZHAO Yan-ru2, HE Yong2* |
1. Zhejiang Academy of Traditional Chinese Medicine, Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou 310007, China
2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China |
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Abstract Fritillariae thunbergii Bulbus，as one of the famous “Zhe Ba Wei”，is often used as expectorant and antitussive medicine. Sulfur fumigation is commonly good for whitening, mothproofing and extending the shelf-life of medicines. However, excessive sulfur fumigation will affect the quality of traditional Chinese medicines, even damage human health. Therefore, using non-destructive detection method of Fritillariae thunbergii Bulbus with sulfur fumigation is beneficial to monitor the quality of traditional Chinese medicines. This paper used near infrared spectroscopy (NIR) (900～1 700 nm) combined with chemometrics to detect the Fritillariae thunbergii Bulbus fumigated with different concentrations of sulphur. “Boxplot” was adopted to analyze the difference among the samples in the range of 1 000～1 100 nm. Principal component analysis (PCA) was also used to cluster analysis of six different samples. Then successive projection algorithm (SPA) was applied to extract ten different characteristic wavelengths and establish the partial least squares-discriminant analysis (PLS-DA) models. Results showed that PLS-DA model had the similar results with full spectra analysis. Furthermore, NIR combined with chemometrics can be used to analyze the Fritillariae thunbergii Bulbus fumigated with different concentrations of sulphur. It provided a theoretical reference for the analysis of the quality of Fritillariae thunbergii Bulbus and the design of the portable instruments.
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Received: 2016-08-17
Accepted: 2016-12-20
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Corresponding Authors:
HE Yong
E-mail: yhe@zju.edu.cn
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[1] Chinese Pharmacopoeia Commission(国家药典委员会). Pharmacopoeia of the People’s Republic of China Valume 1(中华人民共和国药典一部). Beijing：China Medical Science Press(北京：中国医药科技出版社), 2015. 292.
[2] HAO Yan-jun, XU Qiu-yang, SANG Yu-li, et al(郝延军，徐秋阳，桑育黎，等). China Journal Chinese Materia Medica(中国中药杂志), 2012, 37(3): 335.
[3] Chuang Y J, Liu F, Wang W, et al. Scientific Reports, 2016, 15(6): 27993.
[4] FU Bo, HU Yong-xiang, LIU Rong, et al(傅 博，胡永翔，刘 蓉，等). Acta Optica Sinica(光学学报), 2016, 36(2): 287.
[5] Jakubíková M, Sádecká J, Kleinová A, et al. Journal of Food Science and Technology, 2016, 53(6): 2797.
[6] Lou Yajing, Cai Hao, Liu Xiao, et al. Pharmacognosy Magazine, 2014, 10(1): 30.
[7] Navarro Escamilla M, Rodenas Sanz F, Li H, et al. Talanta, 2013, 114: 304.
[8] WU Xiao-yi, CHAO Zhi-mao, SUN Wen, et al(吴晓毅，巢志茂，孙 文，等). China Journal Chinese Materia Medica(中国中药杂志), 2014, 39(10): 1863.
[9] DU Wei-feng, ZHANG Yan-xin, ZHANG Hao, et al(杜伟锋，张焱新，张 浩，等). Journal of Chinese Medicinal Materials(中药材), 2014, 36(12): 2189.
[10] Yu Keqiang, Zhao Yanru, Li Xiaoli, et al. Computers and Electronics in Agriculture, 2014, 103: 1.
[11] Liu D, Sun D W, Zeng X A. Food and Bioprocess Technology, 2013, 7(2): 307. |
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