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茶叶科学 ›› 2014, Vol. 34 ›› Issue (4): 337-343.doi: 10.13305/j.cnki.jts.2014.04.004

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茶叶含水率近红外在线快速测定及其应用研究

陈寿松1,2, 郑功宇1, 金心怡1,2,*, 郝志龙1,2, 叶秋萍1, 赖智龙1   

  1. 1. 福建农林大学园艺学院,福建 福州 350002;
    2. 福建农林大学茶叶研究所,福建 福州 350002
  • 收稿日期:2013-11-29 修回日期:2014-02-10 出版日期:2014-08-15 发布日期:2019-09-03
  • 通讯作者: *jxy427@tom.com
  • 作者简介:陈寿松(1987— ),男,福建莆田人,硕士研究生,主要研究方向为茶叶加工与加工工程。
  • 基金资助:
    “十一五”国家科技支撑计划(2007BAD07B02-2)

Applied Research on Near-infrared for On-line Rapid Determination of Tea Moisture Content

CHEN Shousong1,2, ZHENG Gongyu1, JIN Xinyi1,2,*, HAO Zhilong1,2, YE Qiuping1, LAI Zhilong1   

  1. 1. College of Horticulture Science Fujian Agriculture and Forestry University, Fuzhou 350002, China;
    2. Tea Research Institute of, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2013-11-29 Revised:2014-02-10 Online:2014-08-15 Published:2019-09-03

摘要: 研究一种茶叶含水率在线快速无损测定技术的实现方法。以国标法为对照,探明茶叶输送带动静状态、摊叶厚度、测量高度、茶叶等级等因素对测定茶叶含水率精确度的影响。结果表明:不同摊叶厚度、茶叶等级和CK条件下数据测定值差异显著,动静态和不同测量高度差异不显著;最佳测定参数为:茶叶输送带速度为0.8 m·s-1、茶样应100%覆盖输送带,并且必须避免外界光线直射到茶样,摊叶厚度为(20±5) mm、测量高度为(250±50) mm;不同等级的茶样设定不同检测通道,可使测定结果更为精确。

关键词: 茶叶, 含水率, 近红外, 在线, 影响因素

Abstract: Research on an implement method to determinate tea moisture content with rapid non-destructive and on-line technology. Comparing to national standard method, it was proved that the effect of those factors including the dynamic and static state of conveyor belt, spread thickness, measuring height, tea grade on the accuracy of tea moisture content accuracy. The results showed that there were significant differences between CK and different spread thickness and grade, no obvious difference in the treatment of dynamic or static state and measure height. The optimal parameters are that tea conveyor belt speed is 0.8 m·s-1, conveyor belt should be fully covered by tea samples, and should avoid from the external light irradiate tea samples, spread thickness is (20±5) mm, measure height is (250±50) mm. Different grade of tea set at different measuring channels can be more accurate in measured results.

Key words: tea, moisture content, near-infrared, on-line, influence factors

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