陈迪
副教授,硕士生导师
邮箱:dichen@zzu.edu.cn;chendi20082009@qq.com
研究方向:色谱质谱、代谢组学、食品药品与生物分析
个人简介
武汉大学本科、博士,加拿大The UVic-Genome BC Proteomics Centre博士后,2018年7月入职郑州大学药学院,主要研究领域包括色谱质谱、代谢组学、食品药品与生物分析等。近年来以第一/通讯作者在Trends in Analytical Chemistry、Talanta、Analytica Chimica Acta、Phytomedicine、Food Chemistry、Food Control等分析化学、药物分析、食品分析权威期刊发表SCI论文40余篇。指导国家级大学生创新创业训练项目多项。Trends in Analytical Chemistry、Food Chemistry、Talanta、Industrial Crops & Products、Journal of Chromatography A、Journal of Pharmaceutical and Biomedical Analysis、Food and Chemical Toxicology、Critical Reviews in Analytical Chemistry等众多SCI期刊审稿专家。
教学与教研
教学研究立项:
(1)基于科研项目式实验教学的药学本科生培养方案探索与实践,郑州大学2022年教学改革类项目,主持。
教学成果:
(1)基于学习通的色谱分析混合式教学模式研究与实践,2021 年度河南省教育信息化优秀成果奖一等奖,参与。
(2)探索混合式教学中课程思政的实施路径,2022 年度河南省教育信息化优秀成果奖一等奖,参与。
(3)激发创新能力:药学本科生 SCI 论文发表实践成果,2023年度河南省本科高校研究性教学系列项目——创新型人才培养典型案例,主持人。
科研项目:
(1)基于在线富集与原位衍生技术的生物样品中醛类高灵敏度、自动化质谱分析方法研究, 郑州大学青年教师专项科研基金,主持。
(2)基于MALDI和DESI双源互补质谱成像技术的纳米载体原位药物释放的可视化研究,河南省自然科学基金青年科学基金,主持。
(3)基于多功能芘标记试剂的相对定量质谱成像新方法及在抑郁症发病机制研究中的应用,中国博士后科学基金面上项目,主持。
(4)多组分、多指标的小分子分析检测技术研究,郑州大学“教授团队助力企业创新驱动发展专项”,主持。
(5)棉籽脂肪酸全谱分析及积累模式研究,棉花生物育种与综合利用全国重点实验室自主课题,主持。
(6)多功能芘结构质谱探针在抑郁症相关小分子组织成像中的应用,河南省科技攻关项目,主持。
(7)通关藤口服液生产过程中绿原酸转化情况研究实验,横向合作课题,主持。
(8)基于多功能质谱探针的3类非法添加成分高通量检测方法研究,横向合作课题,主持。
研究与成果
代表性文章(部分):
[1] Zhi Sun#, Fangfang Wang#, Yuwei Liu, Bowen Deng, Ruobing Ren, Yifei Wang, Di Chen*, Lihua Zuo*, Recent strategies for improving MALDI mass spectrometry imaging performance towards low molecular weight compounds, TrAC Trends in Analytical Chemistry, 2024, 175, 117727.(中科院一区Top)
[2] Bin Wang#, Shuang-Jiao Xu#, Wenxuan Li, Yuwei Liu, Zhanwu Li, Lei Ma, Xia Xu*, Di Chen*, Polyaniline-coated kapok fibers for convenient in-syringe solid-phase microextraction and determination of organochlorine and pyrethroid pesticide residues, Talanta, 2042, 125706. (# co-first author) (中科院一区Top)
[3] Peipei Zhou#, Lihua Zuo#, Chang Liu, Baolin Xiong, Zhuolun Li, Heying Yue, Qingquan Jia, Tianyuan Zheng, Jing Zou, Shuzhang Du*, Di Chen*, Zhi Sun*, Unraveling spatial metabolome of the aerial and underground parts of Scutellaria baicalensis by matrix-assisted laser desorption/ionization mass spectrometry imaging, Phytomedicine, 2024, 123, 155259. (# co-first author) (中科院一区Top)
[4] Yuwei Liu#, Yanbo Luo#, Wenxuan Li, Xinli Xu, Bin Wang, Xia Xu, Dilshad Hussain*, Di Chen*, Current Analytical Strategies for the Determination of Quinolone Residues in Milk, Food Chemistry, 2024, 430, 137072. (# co-first author) (中科院一区Top)
[5] Wenxuan Li#, Hang Yuan#, Yuwei Liu, Bin Wang, Xinli Xu, Xia Xu, Dilshad Hussain*, Lei Ma*, Di Chen*, Current Analytical Strategies for the Determination of Resveratrol in Foods, Food Chemistry, 2024, 430, 137182. (# co-first author)(中科院一区Top)
[6] Bin Wang#, Yongyue Chen#, Wenxuan Li, Yuwei Liu, Xinli Xu, Lei Ma, Xia Xu, Xuezhong Shi, Yongli Yang*, Di Chen*, Conveniently monitoring aldehyde changes in heated edible oils using minimalized kapok fiber-supported liquid-phase extraction/in-situ derivatization coupled with liquid chromatography-tandem mass spectrometry, Food Chemistry, 2024, 439, 138099. (# co-first author) (中科院一区Top)
[7] Di Chen, Xin-Miao Bu, Xin-Li Xu, Bin Wang, Man-Yu Zhang, Yu-Mei Gan, Hang Yuan*, Xu Xia*, In pipette-tip kapok fiber-supported liquid extraction/in-situ derivatization coupled with high performance liquid chromatography for the determination of three furfurals, Food Chemistry, 2023, 415, 135788. (中科院一区Top)
[8] Di Chen, Bin Wang, Xin-Li Xu, Xin-Miao Bu, Man-Yu Zhang, Xia Xu*, Lei Yu*, Nian Shi*, One-pot derivatization/extraction coupled with liquid chromatography-tandem mass spectrometry for furfurals determination, Food Chemistry, 2023, 428, 136839.(中科院一区Top)
[9] Manyu Zhang, Xinmiao Bu, Xinli Xu, Bin Wang, Sen Yang, Yanbo Luo, Xia Xu*, Di Chen*, Miniaturized kapok fiber-supported liquid extraction for convenient extraction of pesticide residues in vegetable oils: determination of organochlorine pesticides as a proof-of-concept study, Talanta, 2023, 253, 123982. (中科院一区Top)
[10] Xin-Miao Bu#, Wu-Duo Zhao#, Man-Yu Zhang, De-Qiao Wu, Jian-Yuan Wu, Xia Xu*, Di Chen*, Matrix-assisted laser desorption/ionization high-resolution mass spectrometry for high-throughput analysis of androgenic steroid adulteration in Chinese traditional medicine based on d0/d5-Girard's reagent P labeling, Talanta, 2023, 253, 124006. (# co-first author) (中科院一区Top)
[11] Di Chen*, Xinli Xu, Bin Wang, Xinmiao Bu, Manyu Zhang, Xia Xu*,Nian Shi*, Natural cotton fiber-supported liquid extraction for convenient protein-rich aqueous sample preparation: determination of glucocorticoids in milk and plasma as a proof-of-concept study, Talanta, 2023, 260, 124618.(中科院一区Top)
[12] Jing Cui, Dan Fang, Xinquan Tian, Jun Peng, Di Chen*, Shuangjiao Xu*, Lei Ma*, Sustainable conversion of cottonseed hulls to valuable proanthocyanidins through ultrasound-assisted deep eutectic solvent extraction, Ultrasonics Sonochemistry, 2023, 100, 106605. (中科院一区Top)
[13] Wen-Chao Han, Nian Shi, Xin-Ying Wang, Zi-Han Wang, Kai-Li Wang, Ming Gao, Lei Yu, Di Chen*, Xia Xu*, Application of Natural Cotton Fibers as an Extraction Sorbent for the Detection of trans-Resveratrol in Adulterated Peanut Oils. Food Chemistry, 2021, 339, 127885. (中科院一区Top)
[14] Zi-Han Wang, Jing-Xian Zhang, Ming Gao, Wei-Qi Cui, Lu Xu, Xiao-lin Zhu, Jin-Jin Li, Zhi-E Huang, Dilshad Hussain, Jing-Yu Zhang, Di Chen*, Xia Xu*, Stable isotope labelling-flow injection analysis-mass spectrometry for rapid and high throughput quantitative analysis of 5-hydroxymethylfurfural in drinks, Food Control 2021, 130, 108386. (中科院一区Top)
申请专利:
(1)陈迪,徐霞,施学忠,卜鑫淼,张曼玉,王彬,徐鑫丽,一种基于多环芳烃衍生物标记的小分子化合物的MALDI-MS分析方法,专利申请号: CN202210265414.1,公开日: 2022-06-17。
(2)陈迪,王彬,徐鑫丽,张曼玉,卜鑫淼,徐霞,施学忠,一种用于油脂样品检测的纤维支撑液液萃取方法及其装置、应用,专利申请号: CN202210619115.3,公开日: 2022-09-06。
(3)陈迪,张曼玉,卜鑫淼,徐鑫丽,王彬,徐霞,施学忠,一种定量采血装置及采血方法,发明专利,专利申请号: CN202210910701.3,公开日: 2022-10-18。
(4)陈迪,徐鑫丽,王彬,娄亦峰,徐霞,一种基于支撑液相萃取和原位衍生的油脂样品快速制备和检测方法,发明专利,专利申请号: CN202310908409.2,公开日: 2023-11-17。
更多文章成果参见:
(1) ORCID:https://orcid.org/0000-0002-1303-8038
(2) ResearchGate: https://www.researchgate.net/profile/Chen_Di2
(3) X-MOL: https://www.x-mol.com/groups/dichen/publications
实验室概况
详见X-mol主页:https://www.x-mol.com/groups/dichen