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Graphene-based Electrochemical Immunosensors for Rapid and Label-free Monitoring of Foodborne Pathogens and Toxins in Food Samples
Friday, March 12, 2021: 9:40 AM - 10:15 AM
Speaker(s)
Description
Food contamination in processing facilities can lead to serious public health problems and costly recalls of millions of food units. Currently, rapid sensing technology is lacking for definitive detection of foodborne pathogen in food-processing plants, which delays initiation of appropriate control measures and increases the likelihood of spreading contamination and foodborne illnesses outbreaks. Herein, we report the fabrication of a user-friendly biosensor capable of rapid (22 min), low-cost (< $3), enrichment-free detection of foodborne pathogens in food processing facilities at levels comparable to current culture based and PCR methods (detection limits ~5 CFU/mL). The device uses an interdigitated electrode as detection surface, which consists of laser-induced graphene, and subsequently functionalized with pathogen-specific antibodies. Unique laser processing induces a 3D nanostructured topology in graphene that becomes electroactive and hydrophilic, properties that are desirable for enabling high signal-to-noise ratios and test sensitivity. These technologies can be combined into a portable platform to make a user-friendly handheld biosensor. An example for Salmonella Tyhimurium detection is provided. After functionalization with Salmonella-antibodies, the graphene-based biosensors were able to detect live Salmonella in chicken broth across a wide linear range (25 to 10^5 CFU/mL) and with a low detection limit (13 ± 7 CFU/mL; n = 3). These results were acquired using a potentiostat with an average response time of 22 minutes without sample pre-concentration or redox labeling techniques . These graphene-based immunosensors displayed high selectivity as demonstrated by non-significant response to other bacteria strains. These results demonstrate how graphene-based electrodes can be used for electrochemical immunosensing in general and, more specifically, could be used as a viable option for rapid, low-cost pathogen detection in food processing facilities.
Track(s)
Additional Info
Keywords: Please select up to 4 keywords ONLY:
Contamination,Food Safety,Agriculture,Nanoscience
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