LIU Xiu-ming, LI Tao, LI Yuan-dong, MA Hui-yu, DUAN Yan-qing, WU Yu, XIA Jian-jun. Recognition of Radix Puerariae Varieties and Origin Based on Pattern Recognition and Near Infrared Spectroscopy Technology[J]. Science and Technology of Food Industry, 2018, 39(22): 247-251. DOI: 10.13386/j.issn1002-0306.2018.22.043
Citation: LIU Xiu-ming, LI Tao, LI Yuan-dong, MA Hui-yu, DUAN Yan-qing, WU Yu, XIA Jian-jun. Recognition of Radix Puerariae Varieties and Origin Based on Pattern Recognition and Near Infrared Spectroscopy Technology[J]. Science and Technology of Food Industry, 2018, 39(22): 247-251. DOI: 10.13386/j.issn1002-0306.2018.22.043

Recognition of Radix Puerariae Varieties and Origin Based on Pattern Recognition and Near Infrared Spectroscopy Technology

  • The pattern recognition method was used to determine the Radix Puerariae of different varieties(Pueraria lobata Ohwi and Pueraria thomsonii Benth)and origins(Yunnan,Anhui,Guangxi,Hubei,Sichuan,Chongqing,Hunan). 120 samples from 12 producing areas were collected,then established common patterns after preprocessed NIR spectra. The similarity and PLS discriminant analysis of Radix Puerariae samples were preliminary,the result showed that the sample groups were high similar excepting Pueraria lobata Ohwi from Anhui. Different samples were selected as test set and training set,PLS-DA was used to identify the types of Pueraria lobata Ohwi and Pueraria thomsonii Benth,the identification rate for varieties was 100% and identification rate for origin was 84.44%. The kNN was also used for pattern recognition of varieties and origin at the same time. The identification rate of the samples was 100%. The result indicates that the proposed methods were feasible and effective.Moreover,this investigation provided the theoretical support and practical method for recognition of Radix Puerariae varieties and origin utilizing near infrared spectral data.
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