欢迎访问《茶叶科学》,今天是

茶叶科学 ›› 2011, Vol. 31 ›› Issue (1): 66-71.doi: 10.13305/j.cnki.jts.2011.01.011

• • 上一篇    下一篇

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

王胜鹏1, 宛晓春1, 林茂先2, 张正竹1*   

  1. 1. 安徽农业大学茶叶生物化学与生物技术教育部重点实验室,安徽 合肥 230036;
    2. 合肥美亚光电技术有限责任公司,安徽 合肥 230038
  • 收稿日期:2010-05-07 修回日期:2010-08-16 出版日期:2011-02-15 发布日期:2019-09-06
  • 通讯作者: zzz@ahau.edu.cn
  • 作者简介:王胜鹏(1982— ),男,河北唐山人,博士研究生,主要从事茶叶加工与化学方向研究。
  • 基金资助:
    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)

Estimating the Quality of Tea Leaf Materials Based on Contents of Moisture, Total Nitrogen and Crude Fiber by NIR-PLS Techniques

WANG Sheng-peng1, WAN Xiao-chun1, LIN Mao-xian2, ZHANG Zheng-zhu1*   

  1. 1. Key Laboratory of Tea Biochemistry & Biotechnology, Ministry of Education, Anhui Agricultural University, Hefei 230036, China;
    2. Hefei Meiya Optoelectronic Technology Co., Ltd., Hefei 230038, China
  • Received:2010-05-07 Revised:2010-08-16 Online:2011-02-15 Published:2019-09-06

摘要: 通过交叉验证和偏最小二乘法(PLS)方法,建立了茶鲜叶的近红外光谱(NIRS)与其含水量、粗纤维总量和全氮量之间相关性模型。当主成分数为7时,3个指标的R值分别为0.92、0.86和0.90;交互验证均方根方差(RMSECV)分别为0.769、0.332和0.742。提出了基于鲜叶含水量、粗纤维总量和全氮量的茶鲜叶原料的质量系数方程,得出了鲜叶的质量系数。鲜叶质量系数越大,其质量越高。本文开发了一种基于NIRS技术评价茶鲜叶原料质量的新方法。

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

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.

Key words: fresh tea leaves, quality index, NIRS, moisture, total crude fiber, total nitrogen

中图分类号: