光谱学与光谱分析, 2016, 36 (3): 775, 网络出版: 2016-12-09  

基于波谱技术的茶树生长与茶叶品质信息快速检测研究进展

Fast Detection of Camellia Sinensis Growth Process and Tea Quality Informations with Spectral Technology: A Review
作者单位
浙江大学生物系统工程与食品科学学院, 浙江 杭州 310058
摘要
波谱技术快速获取茶树生长和茶叶品质信息对提高茶叶生产信息化、 产业化水平, 保障茶叶品质和安全具有重要意义。 阐述了波谱技术在茶树生长和茶叶品质信息快速检测的研究进展和发展趋势。 重点介绍了红外光谱, 荧光光谱、 拉曼光谱、 质谱等在茶树生长信息获取(氮、 叶绿素、 病虫害信息等)、 茶叶品种分类、 茶叶分级、 茶叶内部品质检测(茶多酚、 儿茶素、 咖啡碱、 氨基酸、 农药残留等)、 茶饮料和加工品的品质检测以及相关检测设备等方面的研究进展和应用情况, 简述了茶树生长信息获取方法、 传感仪器和产业化应用的研究和发展趋势。 选择合适的预处理和化学计量学方法能有效增加模型效果, 减少冗余数据, 为基于波谱技术便携式仪器的开发提供可能。 基于波谱技术便携式仪器和在线检测仪器开发仍是今后实现该技术应用和推广的重点。 首次介绍了波谱技术在茶叶生产加工领域的应用成果和研究进展, 涵盖茶树生长、 茶叶加工、 茶叶和茶加工品品质安全等多方面内容, 并论述波谱技术在茶叶产业应用存在问题和将来发展趋势。
Abstract
The research achievements and trends of spectral technology in fast detection of Camellia sinensis growth process information and tea quality information were being reviewed. Spectral technology is a kind of fast, nondestructive, efficient detection technology, which mainly contains infrared spectroscopy, fluorescence spectroscopy, Raman spectroscopy and mass spectroscopy. The rapid detection of Camellia sinensis growth process information and tea quality is helpful to realize the informatization and automation of tea production and ensure the tea quality and safety. This paper provides a review on its applications containing the detection of tea (Camellia sinensis) growing status(nitrogen, chlorophyll, diseases and insect pest), the discrimination of tea varieties, the grade discrimination of tea, the detection of tea internal quality (catechins, total polyphenols, caffeine, amino acid, pesticide residual and so on) , the quality evaluation of tea beverage and tea by-product, the machinery of tea quality determination and discrimination. This paper briefly introduces the trends of the technology of the determination of tea growth process information, sensor and industrial application. In conclusion, spectral technology showed high potential to detect Camellia sinensis growth process information, to predict tea internal quality and to classify tea varieties and grades. Suitable chemometrics and preprocessing methods is helpful to improve the performance of the model and get rid of redundancy, which provides the possibility to develop the portable machinery. Future work is to develop the portable machinery and on-line detection system is recommended to improve the further application. The application and research achievement of spectral technology concerning about tea were outlined in this paper for the first time, which contained Camellia sinensis growth, tea production, the quality and safety of tea and by-produce and so on, as well as some problems to be solved and its future applicability in modern tea industrial.

彭继宇, 宋星霖, 刘飞, 鲍一丹, 何勇. 基于波谱技术的茶树生长与茶叶品质信息快速检测研究进展[J]. 光谱学与光谱分析, 2016, 36(3): 775. PENG Ji-yu, SONG Xing-lin, LIU Fei, BAO Yi-dan, HE Yong. Fast Detection of Camellia Sinensis Growth Process and Tea Quality Informations with Spectral Technology: A Review[J]. Spectroscopy and Spectral Analysis, 2016, 36(3): 775.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!