研究队伍
李华
李华.png

       李华, 男,1962年9月生,陕西商洛人,理学博士、西北大学/西安石油大学二级教授、博士生导师,现任西安石油大学副校长。 1988年7月和1996年7月在中国科学院长春应用化学研究所分别获理学硕士学位和理学博士学位。随后在西北大学师从高鸿院士进行博士后研究工作。1998-1999年度, 美国华盛顿大学过程分析化学中心(CPAC)访问教授。在美国工作期间曾获美国国防科研基金资助在美国海军实验室(NRL)和Arizona State University短期访问和讲学; 2000年9月-2001年7月捷克Masaryk 大学客座教授;2001年9月-2001年12月德国Reutlingen大学应用化学研究所客座教授;2007年9月-2007年10月,日本立命馆大学中国大学管理运营干部特别研修班学习。 1988年7月-1996年7月,河南大学工作,历任讲师、副教授、教授,曾任河南大学化学化工学院副院长。1996年7月-2015年4月,西北大学教授、博士生导师。其间,2005年12月-2011年3月任西北大学资产设备管理处处长,2011年4月-2015年4月任西北大学科研处处长,西北大学首批二级教授,中国兵器工业第二零四研究所兼职教授。2015年4月起任西安石油大学副校长。 主要从事生物分析化学与过程分析、含能材料、绿色能源化学与过程等研究工作。主持国家自然科学基金8项、科技部国家重大仪器设备开发专项子课题和国防科工委重大专项及国防973子课题等研究项目,近年来在《Chem. Sci.》、《Anal. Chem.》、《Chem. Commun.》、《Electrophoresis》等国内外学术刊物发表论文200多篇,有130多篇论文被SCI收录,其研究工作在国际上有一定的影响,多次应邀在美国华盛顿大学过程分析化学中心、美国著名海军实验室(Naval Research Laboratory, NRL)、捷克Masaryk大学生物分析化学实验室、德国Reutlingen大学过程分析实验室等进行访问和讲学合作研究。多次担任在国内外召开的国际学术会议学术委员会委员。国际著名学术刊物《Electrophoresis》、《Journal of Chromatography A》、《Anal. Chim. Acta》、《Anal. Chem. 》、《Talanta》化学计量学和化学信息学方面稿件审阅人(Reviewer)之一。2002年9月1日-5日在欧洲布尔洛(Brno)召开的第六届国际化学计量学学术会议《Chemometrics VI》,2015年召开的第十五届国际化学计量学大会(XV Chemometrics in Analytical Chemistry),担任科学委员会委员( Member of Scientific Committee)。 1996年获中国科学院院长奖学金优秀奖, 1998年获第二届陕西青年科技奖,2001年获陕西省优秀留学回国人员,2006年获陕西省科学技术奖一等奖(排名第一),2008年获陕西省科学技术奖二等奖(排名第二)等科技奖励十项。已指导毕业博士生10人,硕士生40多人,现指导博士后、博士生和硕士生10余人。


代表性论文:


[1] Qin Wang, Shengrui Zhang, Yaogang Zhong, Xiao-Feng Yang*, Zheng Li, Hua Li*, Preparation of yellow-green-emissive carbon dots and their application in constructing a fluorescent turn-on nanoprobe for imaging of selenol in living cells[J]. Analytical Chemistry, 2017, 89(3): 1734-1741.

[2] Ye Tian, Chunhua Yan, Tianlong Zhang, Hongsheng Tang, Hua Li*, Jialu Yu, Jerome Bernard, Li Chen, Serge Martin, Nicole Delepine-Gilon, Jana Bockova, Pavel Veis, Yanping Chen, Jin Yu, Classification of wines according to their production regions with the contained trace elements using laser-induced breakdown spectroscopy[J], Spectrochimica Acta Part B: Atomic Spectroscopy, 2017, 135: 91-101.

[3] Chunhua Yan, Juan Qi, Junxiu Ma, Hongsheng Tang, Tianlong Zhang, Hua Li*, Determination of carbon and sulfur content in coal by laser induced breakdown spectroscopy combined with kernel-based extreme learning machine[J], Chemometrics and Intelligent Laboratory Systems, 2017, 167: 226-231.

[4] Tianlong Zhang, Chunhua Yan, Juan Qi, Hongsheng Tang, Hua Li*, Classification and discrimination of coal ash by laser-induced breakdown spectroscopy (LIBS) coupled with advanced chemometric methods[J], Journal of Analytical Atomic Spectrometry, 2017, 32(10): 1960-1965.

[5] Fangqi Ruan, Juan Qi, Chunhua Yan, Hongsheng Tang, Tianlong Zhang, Hua Li*, Quantitative detection of harmful elements in alloy steel by LIBS technique and sequential backward selection-random forest (SBS-RF)[J], Journal of Analytical Atomic Spectrometry, 2017, 32(11): 2194-2199.

[6] Ji-Wei Shen*, Zhiqing Wang, Jiawei Liu, Hua Li*. Nano-sized NaF inspired intrinsic solvothermal growth mechanism of rare-earth nanocrystals for facile control synthesis of high-quality and small-sized hexagonal NaYbF 4: Er[J]. Journal of Materials Chemistry C, 2017, 5(37): 9579-9587.

[7] Yuanyuan Wang, Yaogang Zhong, Qin Wang, Xiao-Feng Yang*, Zheng Li, Hua Li*, Ratiometric fluorescent probe for vicinal dithiol-containing proteins in living cells designed via modulating the intramolecular charge transfer-twisted intramolecular charge transfer conversion process[J]. Analytical Chemistry, 2016, 88(20): 10237-10244.

[8] Zhanmei Wang, Chunhua Yan, Juan Dong, Tianlong Zhang, Jiao Wei, Hua Li*, Acidity analysis of iron ore based on calibration-free laser-induced breakdown spectroscopy (CF-LIBS) combined with a binary search algorithm (BSA)[J]. RSC Advances, 2016, 6(80): 76813-76823.

[9] Tianlong Zhang, Donghui Xia, Hongsheng Tang, Xiaofeng Yang, Hua Li*, Classification of steel samples by laser-induced breakdown spectroscopy and random forest[J]. Chemometrics and Intelligent Laboratory Systems, 2016, 157: 196-201.

[10] Yuanyuan Wang, Xiaofeng Yang*, Yaogang Zhong, Xueyun Gong, Zheng Li, Hua Li*, Development of a red fluorescent light-up probe for highly selective and sensitive detection of vicinal dithiol-containing proteins in living cells, Chemical Science, 2015, 7(1): 518-524.

[11] Tianlong Zhang, Shan Wu, Juan Dong, Jiao Wei, Kang Wang, Hongsheng Tang, Xiaofeng Yang, Hua Li*. Quantitative and classification analysis of slag samples by Laser-induced breakdown spectroscopy(LIBS) coupled with support vector machine(SVM) and partial least square(PLS) methods[J], Journal of Analytical Atomic Spectrometry, 2015, 30(2): 368-374.

[12] Liwen Sheng, Tianlong Zhang, Guanghui Niu, Kang Wang, Hongsheng Tang, Yixiang Duan, Hua Li*, Classification of iron ores by laser-induced breakdown spectroscopy(LIBS) combined with random forest(RF)[J], Journal of Analytical Atomic Spectrometry, 2015, 30(2): 453-458.

[13] Juan Dong, Long Liang, Jiao Wei, Hongsheng Tang, Tianlong Zhang, Xiaofeng Yang, Kang Wang, Hua Li*, A method for improving the accuracy of calibration free laser-induced breakdown spectroscopy(CF-LIBS) using determined plasma temperature by genetic algorithm (GA)[J], Journal of Analytical Atomic Spectrometry, 2015 (30): 1336-1344.

[14] Xuemei Wu, Zhiqiang Liu, Tianlong Zhang, Hua Li*, A new method for abnormal spectrum detection based on the mixed model of samples[J], Chemometrics and Intelligent Laboratory Systems, 2015, 145: 17-21.

[15] Long Jiao*, Xiaofei Wang, Shan Bing, Zhiwei Xue, Hua Li*, QSPR study on the photolysis half-life of PCDD/Fs adsorbed on spruce (Picea abies (L.) Karst.) needle surfaces under sunlight irradiation by using a molecular distance-edge vector index[J], RSC Advances, 2015, 5(9): 6617-6624.

[16] Xiaofeng Yang,* Qian Huang, Yaogang Zhong, Zheng Li, Hua Li*, Mark Lowry, Jorge O. Escobedo, Robert M. Strongin*, A dual emission fluorescent probe enables simultaneous detection of glutathione and cysteine/homocysteine[J], Chemical Science, 2014, 5(6): 2177-2183.

[17] Hongmin Lv, Xiaofeng Yang*, Yaogang Zhong, Yuan Guo, Zheng Li, Hua Li*, Native chemical ligation combined with spirocyclization of benzopyrylium dyes for the ratiometric and selective fluorescence detection of cysteine and homocysteine[J], Analytical Chemistry, 2014, 86(3): 1800-1807.

[18] Tianlong Zhang, Long Liang, Kang Wang, Hongsheng Tang, Xiaofeng Yang, Yixiang Duan, Hua Li*. A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)[J]. Journal of Analytical Atomic Spectrometry, 2014, 29(12): 2323-2329.

[19] Xuemei Wu, Zhiqiang Liu, Hua Li*, A novel algorithm for linear multivariate calibration based on themixed model of samples[J], Analytica Chimica Acta, 2013, 801(4): 43-47.

[20] Long Jiao, Suya Gao, Fang Zhang, Hua Li*, Quantification of components in overlapping peaks from capillary electrophoresis by using continues wavelet transform method[J], Talanta, 2008, 75(4): 1061-1067.

[21] Fang Zhang, Yan Chen, Hua Li, Application of multivariate cure resolution- alternating least square methods on the resolution of overlapping CE peaks from different separation conditions[J], Electrophoresis, 2007, 28(20): 3674-3683.

[22] Gaili Wei, Gaochao Dang, Hanchun Yao, Hua Li, Ultrasensitive assay of clindamycin in medicine and bio-fluids with chemiluminescence dection[J], Luminescence, 2007, 22(6): 534-539.

[23] Suqin Han, Erbao Liu, Hua Li, Determination of tetracycline, chlortetracycline and oxytetracycline by flow-injection with inhibitory chemiluminescence detection using copper(II) as a probe ion[J], Luminescence, 2006, 21(2): 106-111.

[24] Fang Zhang, Hua Li, Resolution of overlapping capillary electrophoresis peaks by using chemometrics analysis: improved quantification by using internal standard[J], Chemometrics and Intelligent Laboratory Systems, 2006, 82(1-2): 184-192.

[25] Yaxiong Zhang, Hua Li, Aixia Hou, Josef Havel, Artificial neural networks based on principal component analysis input selection for quantification in overlapped capillary electrophoresis peaks[J], Chemometrics and Intelligent Laboratory Systems, 2006, 82(1-2): 165-175.

[26] Hua Li, Jianrong Huo, Kang Wang, Fang Zhang. Resolution of multicomponent overlapped capillary electrophoresis peaks. A comparison of several curve resolution methods[J], Talanta, 2006, 70(2): 336-343.

[27] Fang Zhang, Hua Li, Resolution of overlapping capillary electrophoresis peaks using chmometrics analysis: quantification of the components in compound reserpine tablets[J], Electrophoresis, 2005, 26(9): 1692-1702.

[28] Yaxiong Zhang, Hua Li, Josef Havel, Modeling of the relationship between the elctroosmotic flow and separation parameters in capillary zone electrophoresis using artificial neural networks and experimental design[J], Talanta, 2005, 65(4): 853-860.

[29] Yaxiong Zhang, Hua Li, Aixia Hou, Josef Havel, Artificial neural networks based on genetic input selection for quantification in overlapped capillary electrophoresis peaks[J], Talanta ,2005, 65(1): 118-128.

[30] Hua Li, Yaxiong Zhang, Lu Xu, The study of the relationship between the new topological tndex Am and the gas chromatographic retention indices of hydrocarbons by artificial neural networks[J], Talanta, 2005, 67(4):741-748.


专著:


(1) 李华. Clinical pattern recognition analysis applying artificial neural networks based on prinicial component analysis input selecyion. Chemometric Methods in Capillary Electrophoresis, GRADY HANRAHAN; FRANK A. GOMEZ, John Wiley & Sons Inc., p 243-260, 2009.

(2) 《现代中药鉴定技术》,周玉新主编,翟为民,李 华,张金兰副主编,2004年9月,化学工业出版社(ISBN 7-5025-5671-0);

(3) 《中药指纹图谱研究技术》,谢培山主编,李华编著者之一(p462-498),2005年2月,人民卫生出版社(ISBN 7-117-06511-7/R·6512)。