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SERS-Based Sensing Platform Detects Contaminants

SERS-Based Sensing Platform Detects Contaminants

Fresh produce is increasingly associated with chemical and biological contaminants, such as pesticides and foodborne pathogens. Early and rapid detection of contaminants is an important step in ensuring food safety. Dr. Mengshi Lin of the University of Missouri is developing a system that will detect, separate, and extract foodborne contaminants by using a surface-enhanced Raman spectroscopy platform. This system is based on hybrid nanocellulose films coupled with separation devices. It will help maintain the safety and sustainability of agriculture and food systems in a cost-effective and environmentally friendly manner.

NIFA supports the Agriculture and Food Research Initiative.

Want to read about more impacts like this? Check out Fresh from the Field, a weekly bulletin showcasing transformative impacts made by grantees funded by NIFA.

Farm Bill Priority Areas
Plant health, production, and products;
Bioenergy, natural resources, and environment;
Food Safety, Nutrition, and Health
U.S. States and Territories
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