近红外光谱对鲜茶叶茶多酚和氨基酸总量检测的研究  

Detection of polyphenols and amino acids of fresh tea by near infrared spectrum

作　　者：张民[1] 李银花[2,3] 袁晴春 李娟[2,3] 刘仲华[2,3] 戴思慧[2,3] 李明[1,2] 黄愉淇 

机构地区：[1]湖南农业大学工学院,湖南省现代农业装备工程技术研究中心,长沙410128 [2]湖南农业大学园艺园林学院,长沙410128 [3]湖南农业大学教育部茶学重点实验室,国家植物功能成份利用工程技术研究中心,长沙410128

出　　处：《上海农业学报》2015年第6期36-40,共5页Acta Agriculturae Shanghai

基　　金：教育部博士点基金(2012432012005);博士后科学基金特别资助项目(2012T50650);湖南省教育厅重点项目(14A070)

摘　　要：采集试验基地鲜茶叶的近红外光谱数据,结合茶叶中的氨基酸、茶多酚含量的差异所呈现出来的不同光谱特性,应用近红外光谱技术在线对鲜茶叶的品质进行检测,并利用多元线性回归、最小二乘法建立了茶多酚和氨基酸的校正模型。结果表明:用最小二乘法检测精度更高,氨基酸和茶多酚测量模型真实值与预测值的决定系数R^2分别为0.92与0.94,相对误差平均值为1.60%与2.99%。According to the near infrared spectral data of fresh tea and the different spectral characteristics presented by various polyphenol and amino acid contents in tea,online detection of fresh tea quality was carried out by near infrared spectrum,and a correcting model was established by using multiple linear regression and least square method.The test results showed that the detection accuracy by least square method was higher,and the coefficients R^2 of determination of amino acids and polyphenols between actual and predictive values were respectively 0.92 and 0.94,with the average relative errors being 1.60%and 2.99%respectively.

关 键 词：茶叶 茶多酚 氨基酸 检测 近红外光谱 

分 类 号：S968.252[农业科学—水产养殖]