欢迎访问南京财经大学食品科学与工程学院!
欢迎访问南京财经大学食品科学与工程学院!
当前位置: 首页 > 师资队伍 > 副教授 > H > 正文

何学明 副教授

发布时间 :2020-05-08文字 :何学明浏览量 :

 

何学明,博士研究生,副教授

邮箱(E-mailhe_xueming@nufe.edu.cn

    教育经历

2013-2019年,浙江大学,生物系统工程与食品科学学院,农业工程(农业机械化工程),博士学位(硕博连读);

2009-2013年,中国计量大学,机电工程学院,机械设计制造及自动化专业,学士学位;

工作经历

2019年至今,南京财经大学,食品科学与工程学院,副教授;

   教学工作

 

主讲《机械设计基础》课程,主持(建设中)校级教改课题1项。

研究领域及方向

农产品品质安全检测技术与装备,农产品与食品中光传输机理研究。

主要科研项目

1)江苏省科技厅自然科学基金项目-青年项目,“AFB1污染植物油光学特性检测及光传输机理研究”,BK202008322020-07-012023-06-30。(主持)

2)国家自然科学基金项目(理工类)-青年基金,“基于光传输特性的植物油中黄曲霉毒素B1激光诱导荧光信号抗基质干扰机理研究”,321016182022-01-012024-12-31(主持)

3)农业农村部重点实验室开放课题,“基于光传输机理水蜜桃采后储藏品质检测研究”,2021-01-012022-12-30(主持,2.5万)

42020年南京财经大学,青年学者支持计划(主持)

5)江苏省现代农机装备与技术示范推广项目,小麦加工实时智能监测技术与装备研发SJC202000132020.01-2022.12(参与)

6)国家重点研发计划项目,环境胁迫下粮油保质保鲜技术和装备研究与示范,2020-062023-05(参与)

7)国家自然科学基金项目(理工类)-面上基金,“花生中黄曲霉毒素B1单光子与双光子诱导荧光检测差异机制研究” ,2022-01-01 2025-12-31(参与)

8)国家重点研发计划项目,粮食反欺诈关键技术研究。

 代表性成果

论文:

  1. He X, Zhang Y, Yang X, et al. Estimating bulk optical properties of AFB1 contaminated edible oils in 300–900 nm by combining double integrating spheres technique with laser induced fluorescence spectroscopy[J]. Food Chemistry, 2021: 131666.

  2. 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.

  3. 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.

  4. Chen M, He X*, Pang Y, et al. Laser induced fluorescence spectroscopy for detection of Aflatoxin B 1 contamination in peanut oil[J]. Journal of Food Measurement and Characterization, 2021, 15(3): 2231-2239.

  5. 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.

  6. He X, Zhao T, Shen F, et al. Online detection of naturally DON contaminated wheat grains from China using Vis-NIR spectroscopy and computer vision[J]. Biosystems Engineering, 2021, 201: 1-10.

  7. Xueming He, Tingwei Li, Xiaping Fu*, Xu Jiang, Yingwang Gao, Xiuqin Rao. Fast estimation of optical properties of pear using a single snapshot technique combined with a least-squares support vector regression model based on spatial frequency domain imaging[J]. Applied optics, 2019, 58(15): 4075-4084.

  8. Xueming He, Xiaping Fu*, Xiuqin Rao, Feng Fu. Nondestructive determination of optical properties of a pear using spatial frequency domain imaging combined with phase-measuring profilometry. Applied Optics. 2017, 56:8207-8215.

  9. Xueming He, Xu Jiang, Xiaping Fu*, Yingwang Gao, Xiuqin Rao*.Least squares support vector machine regression combined with Monte Carlo simulation based on the spatial frequency domain imaging for the detection of optical properties of pear. Postharvest Biology & Technology. 2018, 145: 1-9.

  10. Xueming He, Xiaping Fu*, Tingwei Li, Xiuqin Rao*. Spatial frequency domain imaging for detecting bruises of pears. Journal of Food Measurement and Characterization. 2018, 12(2):1-8.

  11. Xueming He, Xiaping Fu*, Xiuqin Rao*. Model robustness improvement by absorption and reduced scattering spectra in short wave near infrared spectral region. Biosystems Engineering. 2018, 176:114-124.

  12. Xueming He, Xiaping Fu*, Xiuqin Rao, Zhenhuan Fang. Assessing firmness and SSC of pears based on absorption and scattering properties using an automatic integrating sphere system from 400 to 1150 nm. Postharvest Biology & Technology. 2016, 121: 62-70.

  13. 陈敏, 庞妍妍, 何学明*,. 检测角度对激光诱导荧光光谱技术检测花生油AFB_(1)污染的影响研究[J]. 中国粮油学报, 2021(7):155-160.

  14. 庞妍妍, 陈敏, 王蓓, 何学明*,. 基于吸收与散射特性的掺伪山茶油检测研究[J]. 粮食科技与经济, 2020, 45(11):6.

     

    专利:

    1.小型水果可见/近红外光谱动态在线采集装置. 中国发明专利: ZL 2014 1 0174285.0,申请日: 2014.04.28, 授权日: 2016-01-27.

    2.一种无损检测农产品光学特性参数的方法与装置. 中国发明专利: ZL 2017 1 0166526.0,申请日: 2017.03.20, 授权日: 2019-06-14.