Chinese Journal of Quantum Electronics

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Detection of fresh tea leaves of Zhuye by Raman spectroscopy

CHEN Changshui, SHI Xingzhe, LI Qian, LIU Zhaowei   

  1. School of Information and Optoelectronic Science and Engineering, South China Normal University,Guangzhou 510006, China
  • Published:2017-09-28 Online:2019-06-13

Abstract: Based on laser Raman spectroscopy technology, the quality identification of fresh tea leaves and growing region discrimination are investigated. Fresh leaves of Zhuye (the original leaves) of six villages in Qimen County are detected. Results show that there are strong Raman peaks at 748,831,1005,1158,1328,1527,1609 cm in the original leaves from different regions, but the intensity of peaks are different in each group.Principal component analysis (PCA) and linear discriminant analysis (LDA) are used to analyze Raman spectra of the original leaves, and it’s found that the discrimination index of original leaves from different regions is 70.7%.

Key words: spectroscopy, laser Raman spectroscopy, principal component analysis, linear discriminant analysis, fresh tea leaves of Zhuye