THE GRADE RECOGNITION OF GREEN TEA
It is urgent to think up a quick and precise method for the identification of tea varieties and grades. The Fourier-transform infrared spectra of three grades of Xihu Longjing tea are measured, and in the spectra region of 400-4000cm-1, which are build separately by the Savitzky-Golay smoothing and standard normal variate preprocessing method. It can be shown that the three different grades of Xihu Longjing have nearly the same characteristic peaks in conventional Fourier-transform infrared spectra. And the data analysis shows that the difference of correction coefficient in different grades is small. So only from the spectrum characteristic or correction coefficient the three grades of green tea can not be effectively recognized. The further analysis shows that the average derivation of the spectra can identify effectively and separate the different grades of tea quickly. Based on the analysis, a way of tea recognition which need not relate to the complicated component analysis of tea is given.
Recognition Fourier-transform infrared spectroscopy Green tea Correlation coefficient Average deviation
RONG-XIANG ZHANG WEN-LI WANG GUANG LI XIAO-HUI ZHAO LIAN-SHUI ZHANG XIAO-WEI LI
Province Key Laboratory for Optoelectronics Information Materials of Heibei, Hebei University, Baoding 071002, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
1480-1483
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）