A rapid identification of four medicinal chrysanthemum varieties with near infrared spectroscopy

被引:16
作者
Han, Bangxing [1 ,3 ]
Yan, Hui [2 ]
Chen, Cunwu [1 ,3 ]
Yao, Houjun [1 ,3 ]
Dai, Jun [1 ,3 ]
Chen, Naifu [1 ,3 ]
机构
[1] West Anhui Univ, Coll Biol & Pharmaceut Engn, Luan 237012, Anhui, Peoples R China
[2] Jiangsu Univ Sci & Technol, Sch Biol & Environm Engn, Zhenjiang, Jiangsu, Peoples R China
[3] Engn Technol Res Ctr Plant Cell Engn, Luan, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Chrysanthemum morifolium; near infrared spectroscopy; rapid detection; GEOGRAPHICAL ORIGIN; PATTERN-RECOGNITION; NIR SPECTROSCOPY; DISCRIMINATION; RADIX;
D O I
10.4103/0973-1296.137378
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background: For genuine medicinal material in Chinese herbs; the efficient, rapid, and precise identification is the focus and difficulty in the filed studying Chinese herbal medicines. Chrysanthemum morifolium as herbs has a long planting history in China, culturing high quality ones and different varieties. Different chrysanthemum varieties differ in quality, chemical composition, functions, and application. Therefore, chrysanthemum varieties in the market demands precise identification to provide reference for reasonable and correct application as genuine medicinal material. Materials and Methods: A total of 244 batches of chrysanthemum samples were randomly divided into calibration set (160 batches) and prediction set (84 batches). The near infrared diffuses reflectance spectra of chrysanthemum varieties were preprocessed by first order derivative (D1) and autoscaling and was built model with partial least squares (PLS). Results: In this study of four chrysanthemum varieties identification, the accuracy rates in calibration sets of Boju, Chuju, Hangju, and Gongju are respectively 100, 100, 98.65, and 96.67%; while the accuracy rates in prediction sets are 100% except for 99.1% of Hangju. Conclusion: The research results demonstrate that the qualitative analysis can be conducted by machine learning combined with near infrared spectroscopy (NIR), which provides a new method for rapid and noninvasive identification of chrysanthemum varieties.
引用
收藏
页码:353 / 358
页数:6
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