光谱学与光谱分析 |
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Identification of Xihu Longjing Tea by PLS Model Using Near-Infrared Spectroscopy |
ZHOU Jian1, CHENG Hao1*, HE Wei2, WANG Li-yuan1, WU Di1 |
1. Key Lab of Tea Chemical Engineering, Ministry of Agriculture, Tea Research Institute, Chinese Academy of Agriculture Science, Hangzhou 310008, China 2. Nanjing Agricultural University, Nanjing 210095, China |
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Abstract Protection of geographical indication for Xihu longjing tea was necessary and an accurate method of identification of Xihu longjing tea ought to be developed to prevent Xihu longjing tea from being faked and protect the trade mark of Xihu longjing tea. Identification of Xihu longjing tea with near-infrared spectrum was researched and a new method for identification of Xihu longjing tea by a quantitative model was developed. A new variance was first defined for Xihu longjing tea and other flat-shaped tea. And then the near-infrared spectrum without preprocess of tea was analyzed and partial least squares (PLS)was most suitably used to build the model (The number of PLS factors in this model is 9)for quantitative prediction. Compared with the critical numeral value, the result predicted by the PLS model was used to identify true Xihu longjing tea. The model was used to predict for 70 known samples which were used to build the quantitative model and 24 unknown samples. The recognition rate of 100% was achieved. So it is proved that the quantitative model by PLS was reliable and accurate to identify real Xihu longjing tea.
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Received: 2007-11-18
Accepted: 2008-02-22
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Corresponding Authors:
CHENG Hao
E-mail: zjph263@126.com
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[1] CAI En-ze(蔡恩泽). Foreign Business(外经贸),2007,3:72. [2] SHEN Pei-he(沈培和). Newspaper of Tea(茶报),2001,(3):17. [3] ZHAO Jie-wen,CHEN Quan-sheng,ZHANG Hai-dong,et al(赵杰文,陈全胜,张海东,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(9):1601. [4] CHEN Quan-sheng,ZHAO Jie-wen,ZHANG Hai-dong,et al(陈全胜,赵杰文,张海东,等). Journal of Food Science(食品科学),2006,27(4):186. [5] Chen Quansheng, Zhao Jiewen, Fang C H,et al. Spectrochimica Acta Part A,2007,66:568. [6] CHEN Quan-sheng,ZHAO Jie-wen,ZHANG Hai-dong,et al(陈全胜,赵杰文,张海东,等). Acta Optica Sinica(光学学报),2006,26(6):933. [7] LI Xiao-li,HE Yong,QIU Zheng-jun(李晓丽, 何 勇, 裘正军). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(2):279. [8] Chen Quansheng,Zhao Jiewen,Huang Xingyi,et alo. Microchemical Journal,2006,83:42. [9] Luypaert J, Zhang M H, Massart D L. Analytica Chimica Acta,2003,478:303. [10] SUN Yao-guo,LIN Min,Lü Jin(孙耀国,林 敏,吕 进). Chinese Journal of Spectroscopy Laboratory(光谱实验室),2004,21(5):940.
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