一、团队名称

粮油现代检测与智能装备团队

二、团队介绍

团队研究方向：基于光电技术的粮油安全品质无损检测技术与装备；粮油非热加工技术。

主要研究内容包括：团队成员一直专注于粮油储运安全与农产品光电检测理论与装备方面的研究工作，在光谱图像分析方法、光电检测平台构建与设备开发和真菌毒素污染检测与控制、低温等离子体技术等领域具有较为丰富的研究经验。

团队近五年承担国家重点研发计划子课题、国家自然科学基金、江苏省自然科学基金、江苏省现代农机装备与技术示范推广项目等国家省部级科研项目10项；发表SCI文章14篇，授权发明专利2项。

三、科研成果

1代表性的科研项目

1）2022/01-2025/12, 国家自然科学基金面上项目（32172306）

2）2018/01-2021/12, 国家自然科学基金面上项目（31772061）

3）2020/06-2023/05, 国家战略性国际合作专项子课题（2020YFE0200200）

4）2016/08-2020/12, “十三五”国家重点研发计划子课题（2017YFD0400401）

5）2020/12-2022/12, 江苏省现代农机装备与技术示范推广项目（NJ2020-20）

6）2021/07-2024/06, 江苏省自然科学基金面上项目（BK20211291）

7）2019/07-2022/06, 江苏省农业科技自主创新资金项目子课题（CX(19)2005）

8）2018/01-2020/12, 浙江省重点研发计划子课题（2018C02050）

9）2020/07-2023/06,江苏省科技厅自然科学基金项目-青年项目（BK20200832）

10）2022/01-2024/12国家自然科学基金项目（理工类）-青年基金（32101618）

2代表性论文

1）Xueming He, Yue Zhang, Xiaoyun Yang, Min Chen, Yanyan Pang, Fei Shen*, Yong Fang, Qin Liu, Qiuhui Hu. Estimating bulk optical properties of AFB1 contaminated edible oils in 300-900 nm by combining double integrating spheres technique with laser induced fluorescence spectroscopy. Food Chemistry, 2021, https://doi.org/10.1016/j.foodchem.2021.131666.

2）Xueming He, Tianxia Zhao, Fei Shen*, Qin Liu, Yong Fang, & Qiuhui Hu. Online detection of naturally DON contaminated wheat grains from China using Vis-NIR spectroscopy and computer vision. Biosystems Engineering, 2021, 201, 1-10.

3）Bin Zhang, Xuesong Jiang, Fei Shen*, Xueming He, Yong Fang, & Qiuhui Hu. Rapid screening of DON contamination in whole wheat meals by VisNIR spectroscopy and computer vision coupling technology. International Journal of Food Science & Technology, 2021, 56, 2588–2595.

4）Min Chen, Xueming He*, Yanyan Pang, Fei Shen*, Yong Fang, & Qiuhui Hu. Laser induced fluorescence spectroscopy for detection of aflatoxin B1 contamination in peanut oil. Journal of Food Measurement and Characterization, 2021, 15, 2231–2239.

5）Fei Shen, Yi Huang, Xuesong Jiang, Yong Fang*, Peng Li, Qin Liu, Qiuhui Hu, & Xingquan Liu. On-line prediction of hazardous fungal contamination in stored maize by integrating Vis NIR spectroscopy and computer vision. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2020, 229, 118012.

6）Tianxia Zhao, Min Chen, Xuesong Jiang, Fei Shen*, Xueming He, Yong Fang, Qin Liu, & Qiuhui Hu. Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour. Infrared Physics and Technology, 2020, 109, 103426

7）Fei Shen, Tianxia Zhao, Xuesong Jiang, Xiao Liu, Yong Fang*, Qing Liu, Qiuhui Hu, & Xingquan Liu. On-line detection of toxigenic fungal infection in wheat by visible near infrared spectroscopy. LWT - Food Science and Technology, 2019, 109, 219-224.

8）Fei Shen*, Qifang Wu, Peng Liu, Xuesong Jiang, Yong Fang, Chongjiang Cao. Detection of Aspergillus spp. contamination levels in peanuts by near infrared spectroscopy and electronic nose. Food Control, 2018, 93, 1-8.

9）Fei Shen*, Bin Zhang, Chongjiang Cao, & Xuesong Jiang. On-line discrimination of storage shelf-life and prediction of post-harvest quality for strawberry fruit by visible and near infrared spectroscopy. Journal of Food Process Engineering, 2018, 41, e12866.

10）Fei Shen*, Qifang Wu, Xiaolong Shao, & Qiang Zhang. Non-destructive and rapid evaluation of aflatoxins in brown rice by using near-infrared and mid-infrared spectroscopic techniques. Journal of Food Science and Technology, 2018, 55:1175-1184.

11）Fei Shen*, Qifang Wu, Yingqi Wei, Xiao Liu, & Peian Tang. Evaluation of near-infrared and mid-infrared spectroscopy for the determination of routine parameters in Chinese rice wine. Journal of Food Processing and Preservation, 2017, 41, e12952.

12）He X , Hu D , Fu X , et al. Spatial frequency domain imaging for determining absorption and scattering properties of bruised pears based on profile corrected diffused reflectance[J]. Postharvest Biology and Technology, 2021, 179:111570.

13）He X, Yang X, Fu X, et al. Assessing soluble solid content and texture of pear during shelf-life period by single snapshot spatial frequency domain imaging[J]. Biosystems Engineering, 2021, 212: 252-263.

14）He X, Yan C, Jiang X, et al. Classification of aflatoxin B1 naturally contaminated peanut using visible and near-infrared hyperspectral imaging by integrating spectral and texture features[J]. Infrared Physics & Technology, 2021, 114: 103652.

3代表性专利

1）沈飞, 黄怡, 方勇, 李彭, 裴斐, 邢常瑞, 袁建, 鞠兴荣. 基于光谱和图像信息融合的霉变玉米在线检测方法. 授权日期：2021-1-26, ZL201810458679.7.

2）沈飞, 吴启芳. 基于衰减全反射傅里叶变换红外光谱技术的糙米中黄曲霉毒素含量的快速检测方法, 授权日期：2018-8-21, ZL201510447345.6.

四、研究生毕业去向

1.攻读博士学位：推荐到浙江大学、南京农业大学等单位攻读博士学位。

2.企事业单位：诺唯赞、安徽科技学院、MDPI出版公司等企事业单位。

3.报考公务员：报考各级政府部门公务员。

五、联系方式

联系人：沈飞、何学明 邮箱：shenfei@nufe.edu.cn，he_xueming@nufe.edu.cn