Dr. Li Weixia | Food Chemistry | Food Packaging Technology Award
Doctor | China Jiliang University | China
Dr. Li Weixia is a highly accomplished and internationally recognized researcher whose work is dedicated to the Advanced Sensing Technologies for Food Quality and Safety, focusing on developing non-invasive, rapid detection systems for contaminants and quality markers in the global food supply chain. Her education involved rigorous specialized training at top-tier international institutions, culminating in terminal postgraduate qualifications with a dual focus on analytical food chemistry and cutting-edge sensor engineering. In her professional experience, Dr. Weixia has held prominent senior academic and research leadership positions across multiple continents, including directing a major university-affiliated center for food safety innovation. Her core research interests encompass the non-invasive detection of mycotoxins, applications of hyperspectral imaging for real-time quality assessment, and the integration of AI-driven predictive modeling for proactive food safety management. She possesses a robust suite of research skills, including advanced proficiency in spectroscopy (Raman, Near-Infrared), chemometrics, nanomaterial synthesis, and the design and deployment of microfluidic systems for on-site analysis. Her significant contributions have been recognized through prestigious accolades, including the International Young Investigator Award in Food Technology and multiple high-level institutional awards and honors for research excellence and teaching innovation.
Featured Publications:
Advancements in Nanotechnology-Based Sensors for Foodborne Pathogen Detection (2018, 612 Citations)
Hyperspectral Imaging and Chemometric Analysis for Non-Destructive Prediction of Meat Freshness (2019, 352 Citations)
A Real-Time Traceability System for Cold Chain Logistics Utilizing IoT and Blockchain Technology (2017, 258 Citations)
Enhanced Surface Plasmon Resonance Biosensor for Rapid Aflatoxin B1 Detection Using Au Nanoparticles (2021, 185 Citations)
Integration of Machine Learning with Electrical Impedance Spectroscopy for Pathogen Identification in Watermelon (2020, 115 Citations)
Fabrication of Flexible Piezoelectric Sensors for Monitoring Ripeness of Fresh Produce During Storage (2022, 81 Citations)
Development of a Portable Colorimetric Array for Multi-Analyte Screening in Milk Quality Control (2023, 48 Citations)