茶叶科学2011，Vol.31Issue(1)：66-71,6.
基于水分、全氮量和粗纤维含量的茶鲜叶原料质量近红外评价方法
Estimating the Quality of Tea Leaf Materials Based on Contents of Moisture, Total Nitrogen and Crude Fiber by NIR-PLS Techniques
摘要
Abstract
In order to estimate the quality of the fresh tea leaves by near infrared spectrum (NIRS) technique, the correlative model equation between near infrared spectrum of the fresh tea leaves and their corresponding moisture, crude fiber and total nitrogen amounts respectively through cross-validation and partial least squares (PLS) method were established in this paper. When the dimension was 7, the three indicators of R value were 0.92, 0.86 and 0.90, root mean square error of cross-validation (RMSECV) were 0.769, 0.332 and 0.742, respectively. A quality coefficient equation was suggested depending on the contents of moisture, crude fiber and entire nitrogen of fresh tea leaves. According to the quality coefficient equation of fresh tea leaf raw material, the quality coefficient of fresh tea leaves was obtained. The larger quality coefficient is, the higher quality of fresh leaf is. Thus, we developed a new method for the evaluation for the quality of fresh tea leaves by using NIRS was developed.关键词
茶鲜叶/质量系数/近红外光谱/含水量/粗纤维量/全氮量Key words
fresh tea leaves/ quality index/ NIRS/ moisture/ total crude fiber/ total nitrogen分类
轻工纺织引用本文复制引用
王胜鹏,宛晓春,林茂先,张正竹..基于水分、全氮量和粗纤维含量的茶鲜叶原料质量近红外评价方法[J].茶叶科学,2011,31(1):66-71,6.基金项目
农业部948项目"茶鲜叶质量近红外评价技术引进"(2006-Z16)、农业科技成果转化资金项目"茶鲜叶原料质量近红外分析仪的中试"(2010GB2C300204) （2006-Z16）
