卞希慧，女，博士，天津工業大學教授，碩士生導師。荷蘭拉德堡德大學（Radboud University，也譯為奈梅亨大學）訪問學者。師承化學計量學專家邵學廣教授和Lutgarde Buydens/Jeroen Jansen教授，致力於化學計量學算法及其在醫藥、食品、環境、能源等領域的套用研究。主持自然科學基金1項，省部級項目2項，參與國家及省部級基金7項，發表SCI論文40餘篇，授權專利9項，參加國內外學術會議40餘次。入選天津市“131”創新型人才培養工程第三層次人選，天津市優秀科技特派員，中國化學會計算（機）化學專業委員會委員，中國儀器儀表學會藥物質量分析與過程控制分會理事，中國儀器儀表學會近紅外光譜分會理事，中國化學會高級會員。應邀為"ACS Sensors", "Analytica Chimica Acta", " Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy", "Chemometrics and Intelligent Laboratory Systems", "Journal of Pharmaceutical and Biomedical Analysis", "Analytical Methods", "Journal of Chemometrics", "分析化學"和"光譜學與光譜分析"等雜誌審稿，並被英國皇家化學會旗下的Analytical Methods期刊、《分析化學》、《分析測試學報》被為優秀審稿人。
基本介紹
人物經歷,研究方向,科研成果,榮譽獎勵,承擔課程,
人物經歷
1983年12月26日，出生於山東省日照市五蓮縣許孟鎮仁里三村。
2002年9月-2006年7月，就讀於天津工業大學材料科學與化學工程學院，獲得套用化學專業理學學士學位。
2006年9月-2008年7月，就讀於天津大學化工學院，師從周雪琴/劉東志教授，獲得套用化學專業工學碩士學位。
2008年9月-2011年7月，就讀於南開大學化學學院，師從邵學廣教授，獲得分析化學專業理學博士學位。
2019年4月-2020年3月，荷蘭拉德堡德大學（Radboud University），Lutgarde Buydens/Jeroen Jansen教授課題組，訪問學者。
2012年-至今，受聘於天津工業大學，從事教學科研工作。
研究方向
1、化學計量學算法研究
2、食用油品質安全快速無損檢測研究
3、中藥過程質量控制研究
4、基於人工智慧的腫瘤鑑別方法研究
科研成果
1. XihuiBian*,Rongling Zhang, Peng Liu, Yang Xiang, Shuyu Wang, Xiaoyao Tan, Near infraredspectroscopic variable selection by novel swarm intelligence algorithm for rapidquantification of high order edible blend oil, Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy, 2023, 284, 121788.
2. Mengxuan Ling, Xihui Bian*, Shuaishuai Wang, Tao Huang, Peng Liu, Shuyu Wang, Xiaoyao Tan, Apiecewise mirror extension local mean decomposition method for denoising ofnear-infrared spectra with uneven noise, Chemometrics and IntelligentLaboratory Systems, 2022, 230, 104655.
3.Xihui Bian*, Yao Wang, Shuaishuai Wang, Joel B. Johnson, Hao Sun, Yugao Guo, Xiaoyao Tan, A review of advancedmethods for the quantitative analysis of single component oil in edible oilblends, Foods, 2022, 11(16): 2436.
4. Rongling Zhang, Xinyan Wu, Yujie Chen, Yang Xiang, Dan Liu, Xihui Bian*, Grey wolf optimizer for variable selection inquantification of quaternary edible blend oil by ultraviolet-visiblespectroscopy, Molecules, 2022, 27 (16), 5141.
5. Xihui Bian*, Deyun Wu, KuiZhang, Peng Liu, Huibing Shi, Xiaoyao Tan, Zhigang Wang, Variational modedecomposition weighted multiscale support vector regression for spectraldetermination of rapeseed oil and rhizoma alpiniae offcinarum adulterants, BiosensorsBasel, 2022, 12 (8), 586.
6. Xihui Bian*,Mengxuan Ling, Yuanyuan Chu, Peng Liu, Xiaoyao Tan, Spectral denoising based onHilbert-Huang transform combined with F-test, Frontiers in Chemistry, 2022, 10,949461.
7. Xihui Bian*, Zizhen Zhao, Hao Sun, Yugao Guo, Lizhuang Hao,Near infrared spectroscopic quantification using fireflywavelength interval selection coupled with partial least squares, Sense theReal Change: Proceedings of the 20th International Conference on Near InfraredSpectroscopy (The International Conference on NIR), 2022, 30, 274-282.
8. Zizhen Zhao, KaiyiWang, Shuyu Wang, Yang Xiang, Xihui Bian*, LASSO based extreme learning machine for spectral multivariatecalibration of complex samples, Sense the Real Change: Proceedings of the 20thInternational Conference on Near Infrared Spectroscopy (The InternationalConference on NIR), 2022, 32, 291-300.
9. Xihui Bian*, Rongling Zhang, Jing Wang, Peng Liu, Ligang Lin, Xiaoyao Tan, Rapidquantification of adulterated Panax notoginseng powder by ultraviolet-visiblediffuse reflectance spectroscopy combined with chemometrics, Chinese Journal ofAnalytical Chemistry, 2022, 50 (3): 100055.
10. Huan Zhang, XiaoyunHu, Limei Liu, Junfu Wei, Xihui Bian*, Near infrared spectroscopycombined with chemometrics for quantitative analysis of corn oil in edibleblend oil, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2022, 270, 120841.
11. Kaiyi Wang, Xihui Bian*, Meng Zheng, Peng Liu, LigangLin, Xiaoyao Tan, Rapid determination of hemoglobinconcentration by a novel ensemble extreme learning machine method combined withnear-infrared spectroscopy, Spectrochimica Acta Part A: Molecular andBiomolecular Spectroscopy, 2021, 263, 120138.
12. Kaiyi Wang, Xihui Bian*, Xiaoyao Tan, Haitao Wang, Yankun Li, A new ensemble modeling method for multivariate calibration of near infrared spectroscopy, Analytical Methods, 2021, 13, 1374-1380
13. 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
14. Xihui Bian*, Zhankui Lu, Geert Hein van Kollenburg, Ultraviolet-visible diffuse reflectance spectroscopy combined with chemometrics for rapid discrimination of Angelicae Sinensis Radix from its four similar herbs, Analytical Methods, 2020, 12 (17), 3499 - 3507
15. 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
16. Peng Liu, Jing Wang, Qian Li, Jun Gao, Xiaoyao Tan*, Xihui Bian*, Rapid identification and quantification of panax notoginseng with its adulterants by near infrared spectroscopy combined with chemometrics, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, 206, 23-30
17. Xihui Bian*, Pengyao Diwu, Caixia Zhang, Ligang Lin, Guohui Chen, Xiaoyao Tan, Yugao Guo, Bowen Cheng, Robust boosting neural networks with random weights for multivariate calibration of complex samples, Analytica Chimica Acta, 2018, 1009, 20-26
18. Xihui Bian*, Pengyao Diwu, Yirui Liu, Peng Liu, Qian Li, Xiaoyao Tan, Ensemble calibration for the spectral quantitative analysis of complex samples, Journal of Chemometrics, 2018, 32(11) e.2940
19. Xihui Bian*, Caixia Zhang, Peng Liu, Junfu Wei, Xiaoyao Tan, Ligang Lin, Na Chang, Yugao Guo, Rapid identification of milk samples by high and low frequency unfolded partial least squares discriminant analysis combined with near infrared spectroscopy, Chemometrics and Intelligent Laboratory Systems, 2017, 170, 96-101
20. Xihui Bian*, Caixia Zhang, Xiaoyao Tan, Michal Dymek, Yugao Guo, Ligang Lin, Bowen Cheng, Xiaoyu Hu, A boosting extreme learning machine for near infrared spectral quantitative analysis of diesel fuel and edible blend oil samples, Analytical Methods, 2017, 9 (20): 2983-2989
21. Caixia Zhang, Xihui Bian*, Peng Liu, Xiaoyao Tan, Qingjie Fan, Wei Liu, Ligang Lin, Subagging for the improvement of predictive stability of extreme learning machine for spectral quantitative analysis of complex samples, Chemometrics and Intelligent Laboratory Systems, 2017, 161, 43-48
22. Xihui Bian*, Shujuan Li, Xueguang Shao, Peng Liu, Variable space boosting partial least squares for multivariate calibration of near-infrared spectroscopy, Chemometrics and Intelligent Laboratory Systems, 2016, 158, 174-179
23. Xihui Bian*, Shujuan Li, Ligang Lin, Xiaoyao Tan, Qingjie Fan, 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
24. Xihui Bian*, Shujuan Li, Mengran Fan, Yugao Guo, Na Chang, Jiangjiang Wang, Spectral quantitative analysis of complex samples based on extreme learning machine, Analytical Methods, 2016, 8 (23): 4674-4679
25. 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
26. Xihui Bian, Wensheng Cai, Xueguang Shao*, Da Chen, Edward R. Grant, Detecting influential observations by cluster analysis and Monte Carlo cross validation, Analyst, 2010, 135, 2841-2847
27. Xueguang Shao*, Xihui Bian, Jingjing Liu, Min Zhang, Wensheng Cai, Multivariate calibration methods in near-infrared spectroscopic analysis, Analytical Methods, 2010, 2, 1662-1666
28. Xihui Bian, Da Chen, Wensheng Cai, Edward R. Grant, Xueguang Shao*, Rapid Determination of Metabolites in Bio-fluid Samples by Raman Spectroscopy and Optimum Combinations of Chemometric Methods, Chinese Journal of Chemistry, 2011, 29, 2525-2532
29. 凌夢旋，盧素敏，孫浩，劉丹，卞希慧*，基於經驗模態分解及t檢驗的X射線衍射圖譜噪聲去除方法研究，分析化學，2023，51(3): 1-9.
30. 胡曉雲，卞希慧*，項洋，張環，魏俊富，近紅外光譜結合化學計量學對五元調和油中單組分油的定量分析，光譜學與光譜分析, 2023, 43 (1): 78-84.
31. 第五鵬瑤，卞希慧*，王姿方，劉 巍，光譜預處理方法選擇研究，光譜學與光譜分析, 2019, 39 (9), 2800-2806.
32. 王愷怡，楊 盛，郭彩雲，卞希慧*，基於LASSO算法的光譜變數選擇方法研究，分析測試學報, 2022, 41 (3): 398-402.
33. 武新燕，卞希慧*，楊盛，徐沛，王海濤，基於灰狼算法的近紅外光譜變數選擇方法研究，分析測試學報, 2020, 39 (10): 1288-1292.
34. 李淑娟，卞希慧*，李 倩，范清傑，陳嬌嬌，基於近紅外光譜的四元調和食用油定量分析，天津科技大學學報, 2018，33(3), 18-24.
35. 卞希慧*，楊盛，李露露，郭玉高，劉巍，基於衰減全反射傅立葉變換紅外光譜及化學模式識別的廢舊塑膠智慧型分類方法研究，中國科技成果，2015，13，10-12.
榮譽獎勵
2022年度《分析測試學報》優秀審稿專家
2021年度《分析化學》優秀審稿人
2020年獲得第三屆陸婉珍近紅外光譜青年獎
2019年獲得天津工業大學第三屆“我最喜愛的研究生導師”
2018年獲得第六屆亞洲近紅外光譜會議暨第七屆全國近紅外光譜學術會議最佳牆報獎
2017年度Analytical Methods期刊傑出審稿人
2016年度天津市“131”創新型人才培養工程第三層次人選
承擔課程
化工熱力學
生物化學
科技論文寫作
化工計算機技術
