Rapid identification of Peucedanum geographical growing areas through near infrared spectroscopy
Peucedanum geographical origin has significant relevance on its clinical efficacy. In this work, a rapid method of identificatiing peucedanum origin was established through near-infrared spectroscopy. 92 peucedanum samples grown from Anhui, Hubei and Henan province were collected. 61 samples were randomly selected as calibration set and the other 31 samples were as prediction set. Diffuse reflectance nearinfrared spectroscopy of peucedanum was recorded, and was preprocessed by first-order differential and autoscale. Then, principal component analysis was applied to extract information; artificial neural network with principal component as input variables and partial least-squares discriminant analysis were used to build models. The results showed that the purpose of identifying the geographical origin of peucedanum was not achieved through the principal component analysis. Artificial neural network achieved 100％ identification rate when 7 principal components were taken as input variables. PLSDA method also chieved 100％ identification rate when 3 latent variables were taken in model. The VIP scores of the first 3 LVs on wavenumber were different, which suggested that the chemical ingredients in three region had significant difference. it was good way in rapid identifying peucedanum origin through nearinfrared spectroscopy.
Near-infrared spectroscopy Peucedanum Geographical origin artificial neural network partial least-squares discriminant analysis
Jun-ying Zhu Bin Chen Hui Yan Jun-qiang Jia Bang-xing Han
School of computer science and information engineering, Jiangsu University, Zhenjiang, Jiangsu 21201 School of food and biological engineering, Jiangsu University, Zhenjiang, Jiangsu 212018, China School of Biological and Chemical Engineering, Jiangsu University of Science and Technology, Zhe Research Center of Plant Cell Engineering of Anhui Province, Chemsity and Life Science Department of
国际会议
上海
英文
1784-1788
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）