个人信息

教师姓名：于慧春

性别：女

学历：博士

职称：教授

所属系（中心）：食品质量与安全系

电子邮箱：yukin_le@126.com

一、个人简介

于慧春，博士，教授，博/硕士生导师。主要研究方向为农产品/食品无损检测技术，主持国家级/省部级教学科研项目4项，在《Sensors and Actuators: B. Chemical》《Measurement》《Journel of food measurement and Characterization》等期刊发表论文20余篇。主讲本科生《食品工程原理（2）》和研究生《生物信息、生物统计与试验设计》等课程。

二、教学科研项目情况

1. 河南省重点攻关项目，花生油AFTB1激光拉曼光谱快速检测关键技术研究，主持

2. 河南省重点攻关项目，提升机器视觉系统农产品品质检测关键技术研究，主持

3. 横向，基于多模态光谱技术的红曲制备原料品质快速检测方法，主持

4. 国基面上，食品电子鼻检测中关联鲁棒特征提取的共性问题研究，参与

三、代表性成果情况

1. 学术论文：

（1）Determination of the Acid and Peroxide Values of Vegetable Oils by Raman Spectroscopy with Competitive Adaptive Reweighted Sampling (CARS) and Back Propagation Neural Network (BPNN). Analytical Letters, 2024, 57(14): 10.1080/00032719.2023.2292656

（2）Characteristic information analysis of Raman spectrum of cucumber chlorophyll content and hardness and detection model construction. Journal of Food Measurement and Characterization, 2024, 18: 10.1007/s11694-024-02419-8

（3）Determination of Chlorophyll and Hardness in Cucumbers by Raman Spectroscopy with Successive Projections Algorithm (SPA) – Extreme Learning Machine (ELM). Analytical Letters, 2023, 56(8): 10.1080/00032719.2022.2123922

（4）Rapid fatty acids detection of vegetable oils by Raman spectroscopy based on competitive adaptive reweighted sampling coupled with support vector regression. Food Quality and Safety, 2022, 6: 10.1007/978-1-4939-1378-7_7

（5）Fast detection of water loss and hardness for cucumber using hyperspectral imaging technology. Journal of Food Measurement and Characterization, 2022, 16: 10.1007/s11694-021-01130-2

（6）苹果贮藏室气体3D荧光特征信息小波包表征与腐败预警. 农业机械学报, 2022(5): 392-399,8

（7）A KECA identification method based on GA for E-nose data of six kinds of Chinese spirits. Sensors and Actuators: B. Chemical, 2021, 333: 10.1016/j.snb.2021.129518

（8）黄瓜水分和硬度高光谱特征波长选择与预测模型构建. 食品与机械, 2021, 37(2)：145-151

（9）拉曼光谱法检测玉米中黄曲霉毒素B1和玉米赤霉烯酮. 核农学报, 2021, 35(1): 159-166

（10）A recursive correction FDA method based on ICA combined with STAW of vinegar E-nose data. Measurement, 2020, 164: 10.1016/j.measurement.2020.108022

（11）拉曼光谱结合UVE_SVR算法预测加热食用油反式脂肪酸的含量. 核农学报, 2020, 3(34): 0582-0591