姓名：郭志军

性别：男

学历：博士

职称：副教授

工作单位：，延边大学农学院食品科学系

教育情况：

2010.9-2013.7，中国科学院长春应用化学研究所电分析国家重点实验室，联合培养博士。

2009.9-2013.7，吉林农业大学，食品科学与工程学院，博士。

2004.9-2007.7，吉林农业大学，食品科学与工程学院，硕士。

2000.9-2004.7，吉林农业大学，资源与环境学院，学士。

工作经历：

2007年7月至今，延边大学农学院食品科学系教师

所受奖项：

1.吉林省自然科学学术成果奖二等奖“基于单壁碳纳米角的适配体生物传感器用于赭曲霉毒素A检测的研究”，第一完成人（通讯）。

主要研究方向：

1.生物技术与食品安全；2.食品有害因子快速检测；3.基于纳米材料和适配体的生物传感器开发

代表性著作：

1. Lei Lv, Donghao Li, Chengbi Cui, Yangyang Zhao, Zhijun Guo*. 2017, Nuclease-aided target recycling signal amplification strategy for ochratoxin A monitoring. Biosensors and Bioelectronics, 87:136-141.

2.Yangyang Zhao, Renjie Liu, Wenyi Sun, Lei  Lv, Zhijun Guo*. Ochratoxin A detection platform based on signal amplification by Exonuclease III and fluorescence quenching by gold nanoparticles. Sensors and Actuators B: Chemical, 2018, 255:1640-1645. 

3. Lei  Lv，Yongdong Jin, Xiaojiao Kang,Yangyang Zhao, Chengbi Cui, Zhijun Guo*. PVP-coated gold nanoparticles for the selective determination of ochratoxin A via quenching fluorescence of the free aptamer. Food Chemistry, 2018,249:45-50.

4. Lei Lv, Donghao Li, Renjie Liu, Chengbi Cui*, Zhijun Guo*. 2017，Label-free aptasensor for ochratoxin A detection using SYBR Gold as a probe. Sensors and Actuators B: Chemical，246:647-652. 

5. Zhijun Guo, Jiahai Wang*, Jiangtao Ren，Erkang Wang*. pH-Reversed ionic current rectification displayed by conically shaped nanochannel without any modification. Nanoscale, 2011, 3:3767-3773.

6. Hua Wu，Renjie Liu, Xiaojiao Kang,Chengyun Liang, Lei  Lv，Zhijun Guo*. Fluorometric aptamer assay for ochratoxin A based on the use of single walled carbon nanohorns and exonuclease III-aided amplification. Microchimica Acta, 2018,185.

7. Renjie Liu, Hua Wu, Lei Lv, Xiaojiao Kang, Chengbi Cui, Jin Feng, Zhijun Guo*. Fluorometric aptamer based assay for ochratoxin A based on the use of exonuclease III. Microchimica Acta, 2018,185: 254. 8. Lei Lv, Chengbi Cui, Chengyun Liang, Wurong Quan, Sihong Wang, Zhijun Guo*. Aptamer-based single-walled carbon nanohorn sensors for ochratoxin A detection. Food control. 2016,60,296-301.