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.
Key words：Spectral technology;Tea (Camellia sinensis) growth process information;Tea quality information;Dectection
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(03): 775-782.
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. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(03): 775-782.
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