Is there an affordable way to detect food contamination rapidly at any point in the supply chain?
- Use Janus emulsions—a kind of nanoparticle—to bind to bacterial proteins to make them visible
- Engineer an interface that turns the droplets into sensors detectable by smartphone
- Develop into consumer smartphone technology
Foodborne diseases are a major public health concern in the United States and worldwide. It is estimated that each year approximately 48 million, or one in six, Americans become ill as a result of consuming food or water contaminated with pathogens or pathogenic toxins. Overall, in the United States alone, foodborne illnesses cost an estimated $55.5 billion per year.
Given the high costs associated with foodborne illnesses, developing a simple, inexpensive, and selective device that can be used on-site to rapidly test large amounts of food samples for the presence of hazardous pathogens should be highly marketable to the food industry. The Swager lab reported on a new class of dynamically reconfigurable liquid colloid particles (LCPs) that are particularly powerful in liquid phase detection schemes. These particles are simple to make, scalable, and can be easily tuned to specifically detect different analytes, like pH, light, and magnetic fields.
In this project, the research team developed a path to a biosensor that utilizes sensory LCPs to detect preselected pathogens, taking advantage of well-studied carbohydrate-pathogen binding interactions (bioreceptor) and detection by naked-eye or emissive-based optical readouts (transducer). The design is modular and able to selectively detect a large number of bacterial, viral, and protozoan pathogens that commonly cause food poisoning. The research team focused on (1) evaluating the proposed detection scheme for sensing pathogens with high selectivity and sensitivity and (2) developing visualization techniques for these LCPs using emissive-light techniques.
- Sensors & Monitoring
- Technology & Commercialization
- Transforming Food Systems
- Solutions Grant