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近红外光谱技术在茶叶生产质控与品质评价中的研究进展 被引量:8

Research progress of near-infrared spectroscopy in quality control and evaluation of tea production
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摘要 茶是世界上最受欢迎的饮料之一,在国内外均有庞大的市场。市场的发展对茶叶的品质要求不断提高,而快速、可靠的茶叶质量控制与品质评价技术是辅助茶叶品质提升的重要手段,一直是研究者关注的热点。传统的茶叶质量与品质检测方法费力、耗时或极具主观性。近红外光谱技术以其简单、无损、快速的特点,在茶叶生产质控与品质评价中越来越受到人们的欢迎。基于近红外光谱的检测技术是一种间接的检测方法,其检测结果容易在数据传递过程中受到各种影响因素的干扰,本文总结了近红外光谱技术在茶叶生产质控与品质评价中的重要影响因素,分析了近红外光谱技术在茶叶生产质控与品质评价中的应用状况,并对研究前景进行展望,为应用近红外光谱技术于茶叶生产质控与品质评价中的研究方向提供参考。 Tea is one of the most popular beverages in the world and has a huge market both at home and abroad.With the development of the market,the quality requirements of tea are constantly improved,rapid and reliable tea quality control and quality evaluation technology is an important means to assist the quality improvement of tea,which has been the focus of researchers.Traditional methods used for assessing tea quality are laborious,time-consuming,or subjective.The near-infrared spectroscopy technology is more and more popular in tea production quality control and quality evaluation because of its simple,non-destructive and rapid characteristics.Nevertheless,since near-infrared spectroscopy is an indirect detection method that can be easily influenced by various factors during data transmission processes.This paper summarized the important influencing factors of near-infrared spectroscopy technology in tea production quality control and quality evaluation,analyzed the application status of near-infrared spectroscopy technology in tea production quality control and quality evaluation,and prospected the research prospect,providing a reference for the research direction of the application of near-infrared spectroscopy technology in tea production quality control and quality evaluation.
作者 梁建华 郭嘉明 乔小燕 LIANG Jian-Hua;GUO Jia-Ming;QIAO Xiao-Yan(Tea Research Institute,Guangdong Academy of Agricultural Science/Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation&Utilization,Guangzhou 510640,China;College of Engineering,South China Agricultural University,Guangzhou 510642,China)
出处 《食品安全质量检测学报》 CAS 2024年第8期254-261,共8页 Journal of Food Safety and Quality
基金 广东省乡村振兴战略专项资金项目(农业科技能力提升)(403-2018-XMZC-0002-90) 2022年度南雄市科技支撑乡村振兴项目 黔东南州科技计划项目[黔东南科合成果(2023)3号]。
关键词 近红外光谱技术 茶叶 质量控制 信息融合 near-infrared spectroscopy tea quality control data fusion
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