%0 Journal Article
%T QUANTITATIVE ANALYSIS OF THE CATECHINS CONTENTS IN GREEN TEA WITH NEAR INFRARED SPECTROSCOPY AND ET ANALYTE PREPROCESSING ALGORITHM<br>基于净分析物预处理算法的绿茶中儿茶素的近红外光谱定量分析
%A 陈全胜
%A 郭志明
%A 赵杰文
%A 欧阳琴
%J 红外与毫米波学报
%D 2009
%I Science Press
%X Complex degree of partial least squares(PLS) model is often increased due to the noise and redundant informa- tion in raw near infrared spectra. In order to simplify PLS model, net analyte preprocessing (NAP) algorithm was used to extract some useful net analyte signals from the raw spectra, then three NAP/PLS models of EGCG, ECG and EGC were constructed. The number of NAP factors and the number of PLS components were optimized by cross-validation. The spectral preprocessing result of NAP algorithm was compared with that of the classical standard normal variate(SNV). The predicting result of NAP is almost similar to that of SNV, but the number of PLS components factor by NAP is much less than that by SNV. This work demonstrates that NAP pretreatment can simplify the prediction models of catechin content in green tea.
%K near infrared spectrum
%K net analyte preprocessing
%K partial least squares(PLS)
%K catechin<br>近红外光谱
%K 净分析物预处理法
%K 偏最小二乘
%K 儿茶素
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=B1A6243D673E4F0AE3676CCEB934D86E&yid=DE12191FBD62783C&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=FA88DCCE84EA0A56&eid=3E3EF0DB5E6F2DA9&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=1&reference_num=13