副教授

张富源

性别:  男

职务职称:  副教授,硕士生导师

所在部门:  食品分析与营养系

通讯地址:  保定市乐凯南大街2596号澳门新葡萄新京8883

邮政编码:  071000

电子邮箱:  zhang.fuyuan@hotmail.com

姓名:张富源

职务职称:副教授,硕士生导师

性别:男

所在部门:食品分析与营养系

通讯地址:保定市乐凯南大街2596号澳门新葡萄新京8883

邮政编码:071000

电子邮箱:zhang.fuyuan@hotmail.com

一、学习工作经历

1. 2019.8-至今 澳门新葡萄新京8883 澳门新葡萄新京8883 副教授

2. 2018.1-2018.10澳大利亚核科学与技术机构 Residential Student Scholarship Winner

3. 2017.6-2019.6澳大利亚麦考瑞大学 联合培养 PhD Degree in Engineering

4. 2015.9-2019.1天津科技大学 食品与生物工程学院博士研究生 工学博士学位

5. 2013.9-2015.9天津科技大学 食品与生物工程学院硕士研究生 硕博连读

三、主要研究方向

1.新型传感器构建及其在食品营养与安全检测中的应用

2.抗体制备与理性设计

3.纳米材料制备及其在食品分析中的应用

4.计算化学分子模拟技术在食品分析中的应用

四、主要研究成果、近年承担的科研项目及获奖情况:

参与“十三五”国家重点研发计划项目子课题和天津市科技计划项目两项科研项目; 获得“互联网+”老员工创新创业大赛天津市二等奖、天津市知识产权创新创业大赛三等奖等奖项。

五、近两年代表性论文

1. A broad-spectrum sensing strategy for the tetracycline family of antibiotics based on an ovalbumin-stabilized gold nanocluster and its application in a pump-free microfluidic sensing platform. Biosensors and Bioelectronics, 171 (2021) 112701.(一作,IF2019=10.257)

2. Novel magnetic nanobeads-based fluoroimmunoassays for zearalenone detection in cereals using protein G as the recognition linker. Sensors and Actuators B: Chemical, 270(2018): 149-157. (一作,IF2018=6.393)

3. Application of CdTe/CdS/ZnS quantum dot in immunoassay for aflatoxin B1 and molecular modeling of antibody recognition. Analytica Chimica Acta, 2019, 1047(139-149).(一作,IF2019=5.977)

4. Black phosphorus-Au nanocomposite-based fluorescence immunochromatographic sensor for high-sensitive detection of zearalenone in cereals. Nanophotonics 2020; 9(8): 2397–2406. (共一,IF2019=7.491)

5. Fluoroimmunoassays for the detection of zearalenone in maize using CdTe/CdS/ZnS quantum dots. Food Chemistry, 255 (2018): 421-428.(一作,IF2018=5.399)

6. IFN-γ-induced signal-on fluorescence aptasensors: from hybridization chain reaction amplification to 3D optical fiber sensing interface towards a deployable device for cytokine sensing[J]. Molecular Systems Design & Engineering, 2019, 4, 872–881. (一作,IF2019=3.323)

7. Substructure-activity relationship studies on antibody recognition for phenylurea compounds using competitive immunoassay and computational chemistry. Sci Rep, 2018, 8(1): 3131.(一作,IF2018=4.011)