贵定云雾茶近红外识别模型的初步建立  

Preliminary Construction of NIR Recognition Model for Guiding Fog Tea

作　　者：袁鑫[1,2] 谭红[2] 杨鸿波[2] 何锦林[2] 董二慧[1,2] 马凯[1,2] 

机构地区：[1]贵州大学化学与化工学院,贵阳550025 [2]贵州省理化测试分析研究中心,贵阳550002

出　　处：《中国农学通报》2013年第3期215-220,共6页Chinese Agricultural Science Bulletin

基　　金：贵州省科技支撑计划项目"近红外对绿茶品质成分的建模研究"(黔科合NY字[2009]3021)

摘　　要：为了快速、准确的鉴定贵定云雾茶的真伪,以贵州省各地茶叶为研究对象,应用近红外漫反射光谱技术对贵定云雾茶进行定性分析。结合判别分析法(discriminant analysis,DA),光谱范围选取4235.35～4252.46、5484.32～5497.04、5999.06～6310.39cm-1,并采用SNV结合一阶导数、Norris平滑的光谱预处理方式,主成分因子数选5,建立识别模型。结果表明,模型的正确识别率达到88.6%。为快速准确识别茶叶提供了一种新思路。This paper viewed the tea of Guizhou Province as research object,and attempted to establish rapid qualitative analysis method for identification the authenticity of Guiding fog tea by NIR spectroscopy.The results indicated that：using discriminant analysis,spectral wavelength was 4235.35-4252.46,5484.32-5497.04,5999.06-6310.39 cm-1,spectral data preprocessing method was SNV,First Derivative and norris smooth,the factor was 5,recognition rate of the model was 88.6%.A new idea by the quick and precise identification of tea was offered in this paper.

关 键 词：近红外光谱 茶叶 识别模型 品质成分 

分 类 号：O657.33[理学—分析化学]