安徽农业科学2009，Vol.37Issue(31)：15238-15240,3.
黄芩中黄酮类化合物的定性与定量分析
Qualitative and Quantitative Analysis of Flavonoid Compounds in Scutellaria baicalensis Georgi
摘要
Abstract
[ Objective ]The research aimed to develop a new method for the detection of flavonoid compounds of Scutellaria bakalensis Georgi by near infrared reflectance spectroscopy (NIRS). [ Method ] Firstly, through the principal component analysis (PCA) of spectroscopic curves of 4 kinds of Scutellaria baicaknsis Georgi, the clustering of baicalin and wogonoside content of Scutellaria baiealensis Georgi was processed. Based on the PCA results,the first eight principal components were applied as artificial neural network (ANN) input nods, and 2 predictive indexes were applied as output nods, a testing model of near infrared reflectance spectroscopy with 8(input nods)-13(hidden layer nods)-2(output nods) was set up. [Result]The average relative error of NIRS model of baicalin and wogonoside content were 3. 87% and 5. 15%. The predicted value nearly was equal to HPLC value. The NIRS model had good predictability to analyze Scutellaria baiealensis Georgi quality. [ Conclusion ] NIRS model can be used on detecting Scutellaria baiealensis Georgi quality and quality controlling of Scutellaria baiealensis Georgi production processing.关键词
近红外光谱/黄芩/黄酮类化合物/主成分分析/人工神经网络Key words
NIRS/Scutellaria baiealensis Georgi/ Flavonoid compounds/ PCA/ ANN分类
农业科技引用本文复制引用
姜健,杨宝灵,李慧,苏明,姜国斌..黄芩中黄酮类化合物的定性与定量分析[J].安徽农业科学,2009,37(31):15238-15240,3.基金项目
国家自然科学基金项目(30872004) （30872004）
大连市自然科学基金项目(2005B10NC089). （2005B10NC089）
