卞希慧

女， 天津工业大学， 教授/研究员/教授级高工或同等级别

学习/工作经历

（1）2002-09 至 2006-07，天津工业大学，应用化学，学士 ，导师：刘秀军
（2）2006-09 至 2008-07，天津大学，应用化学，硕士 ，导师：周雪琴/刘东志
（3）2008-09 至 2011-07，南开大学，分析化学，博士 ，导师：邵学广

研究领域和兴趣

1、化学计量学算法研究 2、食用油品质安全快速无损检测研究 3、中药过程质量控制研究

主要业绩

卞希慧，女，博士，天津工业大学教授，荷兰拉德堡德大学（Radboud University）访问学者。中国化学会计算（机）化学专业委员会委员，中国仪器仪表学会药物质量分析与过程控制分会理事，中国仪器仪表学会近红外光谱分会理事，中国化学会高级会员。担任《Food Innovation and Advances》、《Science of Traditional Chinese Medicine》、《Journal of Future Foods》、《Interdisciplinary Sciences Computational Life Sciences》、《分析测试学报》、《理化检验-化学分册》青年编委，《Applied Sciences》客座编辑，《Frontiers in Chemistry》评审编辑。获中国仪器仪表学会第三届陆婉珍近红外光谱青年奖，天津市优秀科技特派员，天津市“131”创新型人才，天津工业大学我最喜爱的研究生导师，天津工业大学优秀教师，并被英国皇家化学会旗下的Analytical Methods、《分析化学》、《分析测试学报》评为优秀审稿人。师承化学计量学专家邵学广教授和Lutgarde Buydens/ Jeroen Jansen/ Geert Postma教授，致力于化学计量学算法及其在医药、食品、环境、能源等领域的应用研究。主持自然科学基金1项，省部级项目2项，开放课题5项，发表学术论文70余篇，其中SCI收录论文60余篇；H-index为22，H-index10为33；申请专利40余项，授权专利10项，转让7项；参编中英文专著各1部。
应邀为"Bioresource Technology", "Analytical Chemistry", "Food Chemistry", "ACS Sensors", "Journal of Agricultural and Food Chemistry", "Analytica Chimica Acta", "Talanta", "Journal of Food Science", "Food Control", "Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy", "Chemometrics and Intelligent Laboratory Systems", "Journal of Food Composition and Analysis", "Microchemical Journal", "Journal of Pharmaceutical and Biomedical Analysis", "Computers and Electronics in Agriculture", "Engineering Applications of Artificial Intelligence", " Neurocomputing"等杂志审稿400余次。参加分析化学中的化学计量学、国际分析科学大会、国际近红外光谱学术会议、中国化学会学术年会、全国计算（机）化学学术会议、全国分析化学年会、全国近红外光谱学术会议等国内外学术会议40余次，多次作会议邀请和口头报告。

代表成果

1. Xinyan Wu, Xihui Bian*, En Lin, Haitao Wang, Yugao Guo, Xiaoyao Tan*, Weighted multiscale support vector regression for fast quantification of vegetable oils in edible blend oil by ultraviolet-visible spectroscopy, Food Chemistry, 2021, 342, 128245 (IF: 9.231)
2. Xihui Bian*, Caixia Zhang, Peng Liu, Ligang Lin, Guohui Chen, Xiaoyao Tan, Yugao Guo, Bowen Cheng, A robust boosting extreme learning machine method for multivariate calibration of complex samples, Analytica Chimica Acta, 2018, 1009, 20-26 (IF: 6.911)
3. Xihui Bian*, Shujuan Li, Ligang Lin, Xiaoyao Tan, QingjieFan, Ming Li, High and low frequency unfolded partial least squares regression based on empirical mode decomposition for quantitative analysis of fuel oil samples, Analytica Chimica Acta, 2016, 925, 16-22 (IF: 6.911)
4. Xueguang Shao*, Xihui Bian, Wensheng Cai, An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis, Analytica Chimica Acta, 2010, 666(1-2): 32-37 (IF: 6.911)
5. Xihui Bian*, Deyun Wu, Kui Zhang, Peng Liu, Huibing Shi, Xiaoyao Tan, Zhigang Wang, Variational mode decomposition weighted multiscale support vector regression for spectral determination of rapeseed oil and rhizoma alpiniae offcinarum adulterants, Biosensors, 2022, 12 (8), 586. (IF: 5.743)
6. Xihui Bian*, Yao Wang, Shuaishuai Wang, Joel B. Johnson, Hao Sun, Yugao Guo, Xiaoyao Tan, A review of advanced methods for the quantitative analysis of single component oil in edible oil blends, Foods, 2022, 11(16): 2436. (IF: 5.561)
7. Deyun Wu, Joel B. Johnson, Kui Zhang, Yugao Guo, Dan Liu, Zhigang Wang, Xihui Bian*, Variational mode decomposition unfolded partial least squares regression for ultraviolet-visible spectral analysis of edible oil blend, fuel oil and aqueous samples, Microchemical Journal, 2024, 196, 109587. (IF:5.304)
8. Xihui Bian*, Zitong Shi, Yingjie Shao, Yuanyuan Chu, Xiaoyao Tan, Variational Mode Decomposition for Raman Spectral Denoising, Molecules, 2023, 28 (17): 6406. (IF: 4.927)
9. Xihui Bian*, Rongling Zhang, Peng Liu, Yang Xiang, Shuyu Wang, Xiaoyao Tan, Near infrared spectroscopic variable selection by novel swarm intelligence algorithm for rapid quantification of high order edible blend oil, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2023, 284, 121788. (IF: 4.831)
10. Xihui Bian*, Kaiyi Wang, Erxuan Tan, Pengyao Diwu , Fei Zhang, Yugao Guo, A selective ensemble preprocessing strategy for near-infrared spectral quantitative analysis of complex samples, Chemometrics and Intelligent Laboratory Systems, 2020, 197, 103916. (IF:4.175)

*以上信息由高级会员个人更新和维护。