姓名：彭传燚
性别：男
学历：博士
职称：副教授
工作单位：安徽农业大学 茶树生物学与资源利用国家重点实验室/茶与食品科技学院
教育情况：
2013-2016 安徽农业大学，博士，茶学
2010-2013 安徽农业大学，硕士，食品科学
2006-2010 安徽农业大学，本科，食品科学与工程
工作经历：
2016.07-2019.12 安徽农业大学 茶树生物学与资源利用国家重点实验室/茶与食品科技学院，讲师；
2020.01至今，安徽农业大学 茶树生物学与资源利用国家重点实验室/茶与食品科技学院，副教授；
所主持的项目及其进展：
1. 国家自然科学基金面上项目，主持，2022-2025，在研；
2. 国家自然科学基金青年基金，主持，2018-2020，结题；
3. 安徽省重点研发科技援藏项目，主持，2020-2022，结题；
4. 十四五国家重点研发计划项目，参与，2021-2026，在研；
5. 安徽省重大科技专项合作课题，主持，2018-2020，结题；
6. 安徽省教育厅高校自然科学重点项目，主持，2020-2023，结题；
所受奖项：
合肥市食品安全专家委员会专家，安徽省三区人才、西藏自治区三区人才，省级科技特派员，合肥市高层次领军人才
主要研究方向：
茶叶品质化学（指纹图谱）、化学污染物分析与质量控制，农产品产地溯源及高值化利用
代表性著作：
第一作者：
①Mengying Shuai#, Chuanyi Peng#, Huiliang Niu, Dongliang Shao, Ruyan Hou, Huimei Cai*. Recent techniques for the authentication of the geographical origin of tea leaves from Camellia sinensis: A review [J]. Food Chemistry, 2022, 374: 131713.
②Chuan-yi Peng, Xue-feng Xu, Yin-feng Ren, Hui-liang Niu, Yun-qiu Yang, Ru-yan Hou, Xiao-chuan Wan*, Hui-mei Cai*. Fluoride Absorption, Transportation and Tolerance Mechanism in Camellia sinensis, and Its Bioavailability and Health Risk Assessment: a Systematic Review[J]. Journal of the Science of Food and Agriculture, 2021,101:379-387.
③Chuan-yi Peng, Yan-ling Zhang, Wei Song，Hui-mei Cai, Yi-jun Wang*, Daniel Granato*. Characterization of brazilian coffee based on isotope ratio mass spectrometry (delta13C, delta18O, delta2H, and delta15N) and supervised chemometrics [J]. Food Chemistry, 2019, 297: 124963.
④Chuan-yi Peng#, Yan-ling Zhang#, Wei Song, Ya-ning Lv, Qian Xu, Ping Zheng, , Zheng-zhu Zhang, Xiao-chun Wan, Ru-yan Hou*, Hui-mei Cai*. Using Stable Isotope Signatures to Delineate the Geographic Point-of-Origin of Keemun Black Tea [J]. Journal of the Science of Food and Agriculture, 2019, 99(5): 2596-2601.
⑤Chuan-yi Peng#, Hai-feng Liu#, Huan-huan Qiao, Jing Luo, Xi-min Liu, Ru-yan Hou, Xiao-chun Wan*, Hui-mei Cai*. Evaluation the Feasibility of Short-Term Electrodialysis for Separating Naturally Occurring Fluoride from Instant Brick Tea Infusion[J]. Journal of the Science of Food and Agriculture, 2020,100(1): 168-176.
通讯作者：
①Zhi-hao Ye, Xiao-tong Chen, Hai-yan Zhu, Xiao-qian Liu, Wen-hui Deng, Wei Song, Da-xiang Li, Ru-yan Hou, Hui-mei Cai, Chuan-yi Peng*. Aggregating-agent-assisted surface-enhanced Raman spectroscopy-baseddetection of acrylamide in fried foods: A case study with potato chips[J]. Food Chemistry, 2023, 403, 134377.
②Yin-feng Ren#, Zhi-hao Ye#, Xiao-qian Liu, Wei-jing Xia, Yan Yuan, Hai-yan Zhu, Xiao-tong Chen, Ru-yan Hou, Hui-mei Cai, Da-xiang Li, Daniel Granato*, Chuan-yi Peng*. Surface-enhanced Raman Spectroscopy-based metabolomics for the discrimination of Keemun black teas coupled with chemometrics[J]. LWT-Food Science Technology, 2023, 181:114742.
③Xue-feng Xu, Hai-yan Zhu, Yin-feng Ren, Can Feng, Zhi-hao Ye, Hui-mei Cai, Xiao-chun Wan, Chuan-yi Peng*. Efficient isolation and purifcation of tissue-specifc protoplasts from tea plants (Camellia sinensis (L.) O. Kuntze)[J]. Plant Methods, 2021, 17: 84.
④Yin-feng Ren, Can Feng, Zhi-hao Ye, Hai-yan Zhu, Ru-yan Hou, Daniel Granato*, Hui-mei Cai*, Chuan-yi Peng*. Keemun black tea: Tracing its narrow-geographic origins using comprehensive elemental fingerprinting and chemometrics[J]. Food Control, 2022, 133(B): 108614.
⑤Chuan-yi Peng#* , Yin-feng Ren#, Zhi-hao Ye, Hai-yan Zhu, Xiao-qian Liu, Xiao-tong Chen, Ru-yan Hou, Daniel Granato*, Hui-mei Cai. A comparative UHPLC-Q/TOF-MS-based metabolomics approach coupled with machine learning algorithms to differentiate Keemun black teas from narrow-geographic origins[J]. Food Research International, 2022,158: 111512.
