孙 晔 博士

联系方式

办公地点：尚德楼伟德BETVLCTOR207

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 伟德BETVLCTOR 食品与轻工学院 校聘副高

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.国家自然科学基金青年基金, 2020.01-2022.12，24万元

2.江苏省自然科学基金青年基金，2019.07-2022.06，20万元

3.中国博士后科学基金面上项目，2019.01-2020.12，5万

4.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） 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.

（2）Sun, Y., Pessane, I., Pan, L., & Wang, X. (2021). Hyperspectral characteristics of bruised tomatoes as affected by drop height and fruit size. LWT - Food Science and Technology, 141, 110863.

（3） Sun, Y., Huang, Y., Pan, L., & Wang, X. (2021). Evaluation of the Changes in Optical Properties of Peaches with Different Maturity Levels during Bruising. Foods, 10(2), 388.

（4） 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.

（5） 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.

（6） Sun, Y., Lu, Y., Lu, R., Tu, K., & Pan, L. (2019). Detection of early decay in peaches by structured-illumination reflectance imaging. Postharvest Biology and Technology, 151, 68-78.

（7） Sun Y., Gu X. & Sun K. et al. (2018). Hyperspectral reflectance imaging combined with chemometrics and successive in peaches. LWT - Food Science and Technology, 75, 557-564.