Md Mehedi Hassan 职称:副教授 性别:男 毕业院校:江苏大学 学历:博士研究生 学位:工学博士 所在单位:海洋食品与生物工程学院 入职时间:2024.03.03 学科:食品科学与工程 办公地点:灿英楼602室 通讯地址:福建省厦门市集美区印斗路43号 E-mail: mehedi_mmh@yahoo.com | 个人简介 Md Mehedi Hassan,副教授。2019年6月取得江苏大学食品科学与工程专业工学博士学位。2024年3月至今任职于集美大学海洋食品与生物工程学院。主要从事食品有害因子生物传感器快速检测技术、食品品质无损检测技术开发等,研究成果发表在FOOD CHEMISTRY, BIOSENSORS AND BIOELECTRONICS, LWT, TRENDS IN FOOD SCIENCE & TECHNOLOGY, TRENDS IN ANALYTICAL CHEMISTRY, CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION 等期刊。 教育经历 2016.09-2019.09 江苏大学、食品科学与工程博士 2006.08-2008.05 拉杰沙希大学、生物化学和分子生物学硕士 2002.03-2006.04 拉杰沙希大学、生物化学和分子生物学学士 工作经历 2024.03至今集美大学海洋食品与生物工程学院讲师 研究方向 [1] 食品中有害物质光学传感器检测技术开发 [2] 食品品质快速无损检测技术开发 代表性科研项目 [1] Study on the mechanism of rapid and label-free detection of antibiotic residue in milk employing the advantages of NIR and SERS,省级博士后科研基金,江苏大学, 2020M681509, 2021. 01-2021.12参与。 [2] Study on Aroma Formation Mechanism of Black Tea During Ultrasonic Fermentation and in-Situ Monitoring by Gas Sensing lmaging, 国家外国专家计划, H20240213, 2024.01-2025.12, 参与。 代表性科研论文 [1] Md Mehedi Hassan, Xu Yi, Jannatul Sayada, Muhammad Zareef, Muhammad Shoaib, Xiaomei Chen, Huanhuan Li, Quansheng Chen. Progress of machine learning-based biosensors for the monitoring of food safety: A review. Biosensors and Bioelectronics, 2024, 116782. [2] Md Mehedi Hassan, Sheng Wei, Yi Xu, Muhammad Zareef, Huanhuan Li, Jannatul Sayada, Quansheng Chen. Ascorbate functionalized Au@ AgNPs SERS sensor combined random frog-partial least squares for the prediction of chloramphenicol in milk. Journal of Food Composition and Analysis, 2024, 106106. [3] Md Mehedi Hassan, Xu Yi, Muhammad Zareef, Huanhuan Li, Quansheng Chen*. Recent advancement of optical, electrochemical, and photoelectrochemical transducer-based microfluidic devices for pesticide and mycotoxins in food and water (2023). Trends in Food Science & Technology, 142104230. [4] Md Mehedi Hassan, Yi Xu, Peihuan he, Muhammad Zareef, Huanhuan Li, Quansheng Chen*. Simultaneous determination of benzimidazole fungicides in food using signal optimized label free HAu/Ag NS-SERS sensor. Food Chemistry, 2022, 397, 133755. [5] Md Mehedi Hassan, Yi Xu, Muhammad Zareef, Huanhuan Li, Quansheng Chen*. Recent progress in chemometrics driven biosensors for food application. Trends in Analytical Chemistry, 2022, 156, 116707. [6] Md Mehedi Hassan, Peihuan He, Yi Xu, Muhammad Zareef, Huanhuan Li, Quansheng Chen*. Rapid detection and prediction of chloramphenicol in food employing label-free HAu/Ag NFs-SERS sensor coupled multivariate calibration. Food Chemistry, 2022, 374, 131765. [7] Md Mehedi Hassan, Yi Xu, Muhammad Zareef, Huanhuan Li, Yawen Rong, Quansheng Chen*. Recent advances of nanomaterial-based optical sensor for the detection of benzimidazole fungicides in food: a review. Critical Reviews in Food Science and Nutrition, 2021. [8] Md Mehedi Hassan, Waqas Ahmad, Muhammad Zareef, Yawen Rong, Yi Xu, Tianhui Jiao, Peihuan He, Huanhuan Li, Quansheng Chen*. Rapid detection of mercury in food via rhodamine 6G signal using surface-enhanced Raman scattering coupled multivariate calibration. Food Chemistry, 2021, 358, 129844 [9] Md Mehedi Hassan, Muhammad Zareef, Yi Xu, Huanhuan Li, Quansheng Chen*. SERS based sensor for mycotoxins detection: Challenges and improvements. Food Chemistry, 2021, 344, 128652. [10] Md Mehedi Hassan, Tianhui Jiao, Waqas Ahmad, Xu Yi, Muhammad Zareef, Shujat Ali, Huanhuan Li, Quansheng Chen*. Cellulose paper-based SERS sensor for sensitive detection of 2,4-D residue levels in tea coupled uninformative variable elimination-partial least squares. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2021, 248, 119198. [11] Md Mehedi Hassan, Muhammad Zareef, Tianhui Jiao, Shuangshuang Liu, Yi Xu, Annavaram Viswadevarayalu, Huanhuan Li, Quansheng Chen*. Signal optimized rough silver nanoparticle for rapid SERS sensing of pesticide residues in tea. Food chemistry, 2021, 338, 127796. [12] Md Mehedi Hassan, Huanhuan Li, Waqas Ahmad, Muhammad Zareef, Jingjing Wang, Shicai Xie, Pingyue Wang, Qin Ouyang, Shaoyun Wang, and Quansheng Chen*. Au@Ag nanostructure based SERS substrate for simultaneous determination of pesticides residue in tea via solid phase extraction coupled multivariate calibration. LWT, 2019, 105, 290 - 297. |