孙 晔  副教授  硕士生导师

联系方式

办公地点：尚德楼C1-613

电子邮箱：sunye@njtech.edu.cn

教育与工作经历

2013-2018 南京农业大学 食品科学与工程 博士

2016-2018 密歇根州立大学Biosystems and Agricultural Engineering 联合培养博士

2018-2022 南京农业大学 工学院 博士后

2022-至今 bwin必赢 bwin必赢 副教授

主讲课程

《食品添加剂》  《食品感官评定》

研究领域

1. 基于光学检测技术的果蔬早期缺陷检测及光学机理研究；

2. 农产品品质无损智能检测；

主持基金项目

1.国家自然科学基金面上基金, 2025.01-2028.12，50万元

2.国家自然科学基金青年基金, 2020.01-2022.12，24万元

3.江苏省自然科学基金青年基金，2019.07-2022.06，20万元

4.中国博士后科学基金面上项目，2019.01-2020.12，5万

5.江苏省电动农机装备科技创新中心平台建设项目，2021.01-2021.12，20万元

代表性成果

(1) Liang, D., Wang, N., Yin, H., Cui, J., Huang, Y., Sun, Y.*, & Hu, Y. (2025). Assessment of the optical response of bruised kiwifruit using hyperspectral imaging and its relationships with water migration. Postharvest Biology and Technology, 225.

(2) Liang, D., Yin, H., Cui, J., Zhou, D., Yu, M., Hu, Y., & Sun, Y.* (2025). Detection and mechanism verification of early bruised kiwifruit based on structured hyperspectral imaging. Food Control, 178. 10.1016/j.foodcont.2025.111488

(3) Sun Y, Liang D, Zhou D, Wang N, Cui J, Jiang J, Zhang X, Hu Y. Using vis-nir spectroscopy and multi-omics analysis to compare mango anthracnose under natural and inoculated conditions. Food Res Int 2025, 211.

(4) Huang, C., Liang, D., Wang, X., Shi, Y., Zhou, D., Jiang, J., Hu, Y., & Sun, Y.* (2025). Structured hyperspectral imaging and machine learning for non-destructive kiwifruit firmness prediction, classification, and intelligent post-harvest management. Journal of Food Composition and Analysis, 147.

(5) Sun, Y., Liang, D., Zhou, D., Wang, N., Cui, J., Jiang, J., Zhang, X., & Hu, Y. (2025). Using VIS-NIR spectroscopy and multi-omics analysis to compare mango anthracnose under natural and inoculated conditions. Food Research International, 211.

(6) Sun, Y., Liang, D., Wang, X., & Hu, Y. (2024). Assessing and detection of multiple bruises in peaches based on structured hyperspectral imaging. Spectrochimica Acta Part a: Molecular and Biomolecular Spectroscopy, 304, 123378.

(7) Sun, Y., Wang, X., Pan, L., & Hu, Y. (2023). Influence of maturity on bruise detection of peach by structured multispectral imaging. Current Research in Food Science, 100476.

(8) Sun, Y., Li, Y., Pan, L., Abbas, A., Jiang, Y., & Wang, X. (2021). Authentication of the geographic origin of Yangshan region peaches based on hyperspectral imaging. Postharvest Biology and Technology, 171, 111320.

(9) Sun, Y., Pessane, I., Pan, L., & Wang, X. (2021). Hyperspectral characteristics of bruised tomatoes as affected by drop height and fruit size. Lwt, 141, 110863.

(10) Sun, Y., Lu, R., Pan, L., Wang, X., & Tu, K. (2020). Assessment of the optical properties of peaches with fungal infection using spatially-resolved diffuse reflectance technique and their relationships with tissue structural and biochemical properties. Food Chemistry, 321, 126704

(11) Sun, Y., Lu, R., & Wang, X. (2020). Evaluation of fungal infection in peaches based on optical and microstructural properties. Postharvest Biology and Technology, 165, 111181.