Quality Evaluation of Green and Dark Tea Grade Using Electronic Nose and Multivariate Statistical Analysis-Reference-Cited by-同舟云学术

Quality Evaluation of Green and Dark Tea Grade Using Electronic Nose and Multivariate Statistical Analysis

Published:2019-11-21 Issue:12 Volume:84 Page:3411-3417
ISSN:0022-1147
Container-title:Journal of Food Science
language:en
Short-container-title:Journal of Food Science

Author:

Yuan Haibo¹,Chen Xiaoqiang²³,Shao Yundong⁴,Cheng Yong⁴,Yang Yanqin¹^ORCID,Zhang Mingming¹,Hua Jinjie¹^ORCID,Li Jia¹,Deng Yuliang¹,Wang Jinjin¹,Dong Chunwang¹,Jiang Yongwen¹,Xie Zhongwen²,Wu Zhengqi³

Affiliation:

1. Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, Tea Research Inst.Chinese Academy of Agricultural Sciences Hangzhou Zhejiang China

2. State Key Laboratory of Tea Plant Biology and UtilizationAnhui Agricultural Univ. 130 Changjiang West Rd. Hefei 230036 Anhui China

3. Natl. “111” Center for Cellular Regulation and Molecular PharmaceuticsKey Laboratory of Fermentation Engineering (Ministry of Education)Hubei Univ. of Technology Wuhan 430068 China

4. Zhejiang Skyherb Biotechnologies Co., Ltd. Anji 313300 China

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1750-3841.14917

Reference43 articles.

1. Evaluation of Data Mining Strategies for Classification of Black Tea Based on Image-Based Features