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高壮强

职位:助理教授,硕士生导师

邮箱:zhuangqiang.gao@szu.edu.cn

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个人简介

高壮强,博士,深圳大学生物医学工程学院助理教授、硕士生导师。2012年与2017年分别于福州大学获得化学学士及分析化学博士学位。2016-2018年,在美国密歇根理工大学开展访问学者研究;2018-2022年先后在美国中佛罗里达大学、奥本大学从事博士后研究;2022年加入深圳大学。主要从事人工智能赋能的高性能生物分析方法研究,通过构建功能纳米材料驱动的信号转导体系,结合微流控与成像技术,并引入深度学习图像处理,实现生物标志物的超灵敏检测及智能化数据解析。迄今在ACS Nano、Nano Letters、Analytical Chemistry及Biosensors & Bioelectronics等期刊上共发表SCI论文50余篇,累计引用3800余次,H-index为30,其中以第一作者或通讯作者发表论文20余篇。出版学术专著1部(副主编)。目前主持国家自然科学基金青年基金1项,科技部国家重点研发子课题1项,并曾参与多项美国国家自然科学基金会(NSF)和国立卫生研究院(NIH)研究项目。2020-2025年连续入选斯坦福大学“全球前2%顶尖科学家榜单”科学影响力排行榜。受邀担任SCI期刊Biosensors青年编委。

研究方向

生物分析、功能纳米材料、微流控、光学成像、深度学习图像处理

科研项目

1.国家自然科学基金委员会,青年科学基金项目,22304122,30.00万元,2024/01 – 2026/12,在研,主持;

2.国家重点研发计划-子课题,2023YFA0915700,30.00万元,2023/12 – 2028/11,在研,主持;

3.深圳市新引进高端人才科研启动项目,827-000922,299.90万元,2024/01 – 2026/12,在研,主持。


代表性论文

1.Jianglian Xu, Fuliang Huang, Nanchi Jiang, Yuhuan Zhao, Sikai Liu, Xiang Peng, Yongfeng Tan, Yaru Cheng, Wenke Chen, Yongqiang Wang, Haifeng Dong, Zhuangqiang Gao,* YOLO-Drop: A Deep Learning Model Enabling Accurate, High-Throughput Image Analysis for Droplet Digital Immunoassay at Attomolar Concentrations. Analytical Chemistry 2026, doi.org/10.1021/acs.analchem.6c00939 (中国科学院化学一区,Top期刊,IF = 6.7).

2.Han Zhang, Yan Zhang, Xiang Peng, Wanyu Qiu, Yongfeng Tan, Jianglian Xu, Qunfang Li,* Dianyong Tang,* Zhuangqiang Gao,* Synergistic Strain and Ligand Effects Boosting the Activity of Pt-Based Peroxidase Nanozymes for Femtomolar-Level Colorimetric Immunoassay of Protein Biomarkers. Analytical Chemistry 2025, 97, 13453–13464 (中国科学院化学一区,Top期刊,IF = 6.7).

3.Jinze Li, Qin Xiang, Guolong Zhao, Kai Lin, Jinkun Huang, Zhuangqiang Gao,* Huiting Lu,* Haifeng Dong,* Dual-Functional Microneedles for In Situ Diagnosis and Biofilm-Targeted Therapy of Diabetic Periodontitis via Biomarker-Responsive Probes and Photothermal NO Nanomotors. Analytical Chemistry 2025, 97, 19705–19718 (中国科学院化学一区,Top期刊,IF = 6.7).

4.Pijiang Huang, Huaize Lan, Binyao Liu, Yuhao Mo, Zhuangqiang Gao,* Haihang Ye,* Tingrui Pan,* Transformative laboratory medicine enabled by microfluidic automation and artificial intelligence. Biosensors & Bioelectronics 2025, 271, 117046 (中国科学院化学一区,Top期刊,IF = 10.5).

5.Yeyu Wang, Qiqi Yang, Zhuangqiang Gao,* Haifeng Dong,* Recent advance of RNA aptamers and DNAzymes for MicroRNA detection. Biosensors & Bioelectronics 2022, 212, 114423 (中国科学院化学一区,Top期刊,IF = 10.5).

6.Zhuangqiang Gao, Yujing Song, Te Yi Hsiao, Jiacheng He, Chuanyu Wang, Jialiang Shen, Siyuan Dai, Benjamin H. Singer, Katsuo Kurabayashi,* Pengyu Chen,* Machine-learning-assisted microfluidic nanoplasmonic digital immunoassay for cytokine storm profiling in COVID-19 patients. ACS Nano 2021, 15, 18023−18036 (中国科学院材料科学一区,Top期刊,IF = 16.1).

7.Zhuangqiang Gao, Shikuan Shao, Weiwei Gao, Dianyong Tang, Dianping Tang, Shengli Zou, Moon J. Kim, Xiaohu Xia,* Morphology-invariant metallic nanoparticles with tunable plasmonic properties. ACS Nano 2021, 15, 2428−2438 (中国科学院材料科学一区,Top期刊,IF = 16.1).

8.Zhuangqiang Gao, Haihang Ye, Qingxiao Wang, Moon J. Kim, Dianyong Tang, Zheng Xi, Zhiyuan Wei, Shikuan Shao, Xiaohu Xia,* Template regeneration in galvanic replacement: a route to highly diverse hollow nanostructures. ACS Nano 2020, 14, 791−801 (中国科学院材料科学一区,Top期刊,IF = 16.1).

9.Zhuangqiang Gao, Haihang Ye, Dianyong Tang, Jing Tao, Sanaz Habibi, Adrienne Minerick, Dianping Tang, Xiaohu Xia,* Platinum-decorated gold nanoparticles with dual functionalities for ultrasensitive colorimetric in vitro diagnostics. Nano Letters 2017, 17, 5572−5579 (中国科学院材料科学二区,Top期刊,IF = 9.6).

10.Zhuangqiang Gao, Grace G. Liu, Haihang Ye, Robert Rauschendorfer, Dianping Tang, Xiaohu Xia,* Facile colorimetric detection of silver ions with picomolar sensitivity. Analytical Chemistry 2017, 89, 3622−3629 (中国科学院化学一区,Top期刊,IF = 6.7).