王吉祥

作者: 时间:2023-11-13 点击数:

王吉祥

职称/职务

助理研究员

邮箱

wjx@ujs.edu.cn

研究方向

环境污染控制分析、功能纳米材料

 

个人简介

王吉祥,男,博士,助理研究员。长期从事环境分析化学、功能纳米材料制备与应用研究。入选镇江“金山英才”和扬中“江雁计划”等人才计划,主持及参与国家自然科学基金等国家级项目,省部级项目2项;以第一作者身份在SmallBiosensors & Bioelectronics等国际著名期刊上发表 SCI 论文多篇;授权国家发明专利3件;获中国轻工业联合会科学技术进步奖三等奖1项。

教育经历

2013/092019/06,江苏大学,化学化工学院,环境科学与工程,硕博连读

2009/092013/06,常州工学院,无机化学,学士

工作经历

2023/06至今,江苏大学化学化工学院,助理研究员

2013/082023/04,芬兰Åbo Akademi University,博士后,合作导师:张宏博、张蓉教授

研究方向

1. 环境污染控制分析(分子印迹材料荧光分析污染物、生物大分子和药物的应用基础研究)

2. 功能荧光纳米材料对有害物质的高效、选择性与快速检测

承担项目

1. 荧光印迹复合材料的制备与选择性识别检测环境中磺酰脲类除草剂残留的应用基础研究,国家自然科学基金/青年项目(NO. 21507045),参与,已结题

2. 构建可视化荧光系统检测氨基甲酸酯类农药残留的研究,江苏省普通高校研究生科研创新计划项目(NO. KYCX17_1793),主持,已结题

学术论文(第一作者/通讯作者)

[1] Jixiang Wang, Jiangdong Dai, Yeqing Xu, Xiaohui Dai, Yunlei Zhang, Weidong Shi, Borje Sellergren, and Guoqing Pan. Molecularly Imprinted Fluorescent Test Strip for Direct, Rapid, and Visual Dopamine Detection in Tiny Amount of Biofluid. Small, 2019, 15, 1803913(1-9).Inside Back Cover

[2] Jixiang Wang, Rujia Cheng, Yunyun Wang, Lin Sun, Li Chen, Xiaohui Dai, Jianming Pan, Guoqing Pan, and Yongsheng Yan. Surface-Imprinted Fluorescence Microspheres as Ultrasensitive Sensor for Rapid and Effective Detection of Tetracycline in Real Biological Samples. Sensors and Actuators B-Chemical, 2018, 263, 533-542.

[3] Jixiang Wang, Hongqiang Shen, Xiaohui Dai, Chunmei Li, Weidong Shi, and Yongsheng Yan. Graphene Oxide as Solid-State Electron Mediator Enhanced Photocatalytic Activities of GO-Ag3PO4/Bi2O3 Z-Scheme Photocatalyst Efficiently by Visible-Light Driven. Materials Technology, 2018, 33, 421-432.

[4] Jixiang Wang, Yunyun Wang, Hao Qiu, Lin Sun, Xiaohui Dai, Jianming Pan, and Yongsheng Yan. A Novel Sensitive Luminescence Probe Microspheres for Rapid and Efficient Detection of Tau-Fluvalinate in Taihu Lake. Scientific Reports, 2017,7, 46635(1-11).

[5] Jixiang Wang, Hao Qiu, Hongqiang Shen, Jianming Pan, Xiaohui Dai, Yongsheng Yan, Guoqing Pan, and Borje Sellergren. Molecularly Imprinted Fluorescent Hollow Nanoparticles as Sensors for Rapid and Efficient Detection Lambda-Cyhalothrin in Environmental Water. Biosensors & Bioelectronics, 2016, 85, 387-394.

[6] Jixiang Wang, Lin Gao, Donglai Han, Jianming Pan, Hao Qiu, Hongji Li, Xiao Wei, Jiangdong Dai, Jinghai Yang, Hui Yao, and Yongsheng Yan. Optical Detection of Lambda-Cyhalothrin by Core-Shell Fluorescent Molecularly Imprinted Polymers in Chinese Spirits. Journal of Agricultural and Food Chemistry, 2015, 63, 2392-2399.

[7] Jixiang Wang, Jianming Pan, Yijie Yin, Runrun Wu, Xiaohui Dai, Jiangdong Dai, Lin Gao, and Hongxiang Ou. Thermo-Responsive and Magnetic Molecularly Imprinted Fe3o4@Carbon Nanospheres for Selective Adsorption and Controlled Release of 2,4,5-Trichlorophenol. Journal of Industrial and Engineering Chemistry, 2015, 25, 321-328.

[8] Jixiang Wang, Lihua Zou, Lihua Zou, Rong Zhang and Hongbo Zhang. Molecularly imprinted fluoroprobes doped with Ag nanoparticles for highly selective detection of oxytetracycline in real samples. Analytica Chimica Acta, 2021, 1161, 338326-338333.

[9] Jixiang Wang, Xiaolei Li, Rong Zhang, Bingjie Fu, Mingcan Chen, Mengxue Ye, Wanyu Liu, Jingjing Xu, Guoqing Pan and Hongbo Zhang. A molecularly imprinted antibiotic receptor on magnetic nanotubes for the detection and removal of environmental oxytetracycline. Journal of Materials Chemistry B, 2022, 10, 6777-6784.

[10] 王吉祥, 闫永胜. 构建研究生学术交流平台, 提升研究生培养质量. 教育,2016, 11, 294.

[11] 王吉祥, 孙琳, 汪云云, 闫永胜. 硅球表面制备荧光分子印迹聚合物检测高效氟氯氰菊酯的研究. 化学试剂, 2017, 39(9), 907-912.

授权专利

1. 王吉祥, 闫永胜, 邱浩, 高林, 李春香. 一种核-壳型荧光印迹材料的制备方法,2017-08-04,中国,公开号:CN201510198322.6

2. 王吉祥, 闫永胜, 高林, 沈洪强, 李根, 刘树成, 李春香. 一种荧光选择识别三氟氯氰菊酯的分子印迹材料制备方法,2016-08-24,中国,公开号:CN201410371585

3. 王吉祥,徐叶青,潘国庆,闫永胜. 一种双发射荧光分子印迹聚合物纳米粒子及其制备方法与应用,2019-02-22,中国,公开号:CN201811399192.2

成果获奖

1. 2023年第二届“扬中青年五四奖章”

2. 2023年第十届“创青春”中国青年创新创业大赛,铜奖

3. 2023年第九届中国国际“互联网+”大学生创新创业大赛江苏省赛区,一等奖

4. 2022年第八届中国国际“互联网+”大学生创新创业大赛江苏省赛区,三等奖

5. 2022年镇江市“金山英才”产业强市领军人才引进计划创新创业人才

6. 2021年扬中市第十批“江雁计划”产业领军人才

7. 2021年扬中市高层次人才创新创业大赛,三等奖

8. 2019年中国轻工业联合会科学技术进步奖三等奖(5/6

9. 2019年江苏大学优秀毕业生

10. 2019年江苏大学优秀博士论文

 

 

 

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