
个人简介
孙小东,博士,副教授,青年硕士/博士生导师。2015年和2020年在湖南大学分别获得理学学士和理学博士学位。2020年8月入职3044永利集团。主要开展化学计量学理论及食药安全与真实性检测的研究工作。主持包括国家自然科学基金、贵州省科技厅项目等在内的多项国家和省部级课题。以第一/通讯作者身份在Food Control、Talanta、Anal. Chim. Acta、Chemometr. Intell. Lab. Syst.等SCI期刊发表论文多篇。担任国家自然科学基金和贵州省科技厅等的项目评审专家,《贵州医药》青年编委,是Talanta、J. Food Sci.、Microchem. J.等SCI的审稿人。
教育背景
2015年9月-2020年7月,湖南大学,分析化学,博士(硕博连读)
2011年9月-2015年6月,湖南大学,化学,学士
研究方向
化学计量学理论研究(化学多维校正与分辨理论、化学模式识别)
食品安全和品质/真实性检测研究
食药/中药/民族药品质及道地性溯源研究
科研项目
1.国家自然科学基金委员会,地区项目,基于化学计量学和一测多评法的肉桂质量等级评定方法研究,2025.1-2028.12,主持;
2.贵州省科技厅,基础研究计划(自然科学)面上项目,基于三维色谱指纹图谱的黔产天麻真实性鉴别研究,2025.1-2027.12,主持;
3.贵州省科技厅,科技计划项目,基于非目标多维色谱指纹图谱的贵州辣椒粉真实性鉴别新方法研究,2022.4-2025.3,结题;
4.3044永利集团,化学计量学多源数据融合对中草药金银花精准鉴别及质量评估研究,2021.1-2023.12,结题。
代表性成果
1. Sun, X. D., Tang, Y. Y., Liang, H., Chen, J. H., Zhang, S., Wang, P. J., Zhang, M., & Gao, X. L. Non-targeted HPLC-FLD fingerprints and chemometrics for Chinese aged vinegar classification and adulteration detection. J. Food Compos. Anal., 2026, in press.
2. Sun, X. D., Zhang, M., Liang, H., Wang, P. J., Wang, T., & Gao, X. L. Identification and quantification of cinnamon adulteration using non-targeted HPLC-DAD fingerprints and chemometrics. J. Food Compos. Anal., 2025, 139: 107076.
3. Sun, X. D., Zhang, M., Liang, H., Zhang, S., Wang, P. J., & Gao, X. L. Geographical origin identification of cinnamon using HPLC-DAD fingerprints and chemometrics. Microchem. J., 2024, 207: 111768.
4. Sun, X. D., Zhang, M., Zhang, S., Chen, Y. X., Chen, J. H., Wang, P. J., & Gao, X. L. Classification of Rosa roxburghii Tratt from different geographical origins using non-targeted HPLC-UV-FLD fingerprints and chemometrics. Food Control, 2024, 155: 110087.
5. Sun, X. D., Zhang, M., Zhang, S., Wang, P. J., Chen, J. H., & Gao, X. L. Non-targeted HPLC–FLD fingerprinting for the classification, authentication, and fraud quantitation of Guizhou paprika by chemometrics. J. Food Compos. Anal., 2023, 120: 105346.
6. Sun, X. D., Zhang, M., Wang, P. J., Chen, J. H., Zhao, M., Cao, S. Y., Ji, J. C., Yuan, M. Y., & Gao, X. L. The effect of alternating fragmentor voltages of LC-MS in full scan mode on data quality: A comparative study. Chemom. Intel. Lab. Syst., 2022, 228: 104625.
7. Sun, X., Zhang, M., Wang, P., Chen, J., Yang, S., Luo, P., & Gao, X. Detection and quantitation of adulterated paprika samples using second-order HPLC-FLD fingerprints and chemometrics. Foods, 2022, 11.15: 2376.
8. Sun, X. D., Wu, H. L., Chen, J. C., Chen, A. Q., Chen, Y., Ouyang, Y. Z., Ding, Y. J., & Yu, R. Q. Exploration advantages of data combination and partition: First chemometric analysis of liquid chromatography–mass spectrometry data in full scan mode with quadruple fragmentor voltages. Anal. Chim. Acta, 2020, 1110: 158-168.
9. Sun, X. D., Wu, H. L., Chen, Y., Chen, J. C., & Yu, R. Q. Chemometrics-assisted calibration transfer strategy for determination of three agrochemicals in environmental samples: Solving signal variation and maintaining second-order advantage. Chemom. Intel. Lab. Syst., 2019, 194: 103869.
10. Sun, X. D., Wu, H. L., Liu, Z., Chen, Y., Chen, J. C., Cheng, L., Ding, Y. J., & Yu, R. Q. Target-based metabolomics for fast and sensitive quantification of eight small molecules in human urine using HPLC-DAD and chemometrics tools resolving of highly overlapping peaks. Talanta, 2019, 201: 174-184.
11. Sun, X. D., Wu, H. L., Liu, Z., Chen, Y., Liu, Q., Ding, Y. J., & Yu, R. Q. Rapid and sensitive detection of multi-class food additives in beverages for quality control by using HPLC-DAD and chemometrics methods. Food Anal. Methods, 2019, 12: 381-393.
12. Sun, X. D., Wu, H. L., Liu, Z., Xie, L. X., Hu, Y., Fang, H., Wang, T., Xiao, R., Ding, Y. J., & Yu, R. Q. Chemometrics-assisted liquid chromatography-full scan mass spectrometry for simultaneous determination of multi-class estrogens in infant milk powder. Anal. Methods, 2018, 10.12: 1459-1471.
欢迎有兴趣的同学报考研究生,欢迎对科研感兴趣的本科生进组实习。
联系方式:sunxiaodong@gmc.edu.cn