Title: Nanomaterial-based Intelligent Point-of-care Testing for Food Safety: Mycotoxins
Abstract:
Mycotoxins are typical pollutants that endanger foods and have harmful effects such as carcinogenic, teratogenic, and mutagenic. Aflatoxin B1 is recognized as a class I carcinogen by the International Agency for Research on Cancer. Cyclopiazonic acid can easily cause degenerative diseases of the liver, pancreas, spleen, and kidney, and zearalenone is accessible to reproductive damage function. Mycotoxin pollution easily occurs in each grain and oil product, such as harvest, storage, transportation, and processing. Mixed mycotoxin pollution is more serious to people's life and health than single mycotoxin pollution because of its additive and synergistic effect. To prevent the frequent occurrence caused by mycotoxin pollution and ensure the food quality and safety "from farm to table", the key is to study and establish a point-of-care test (POCT) to find the mixed mycotoxins pollution in time and reduce the enormous economic losses. The existing detection technology is mainly based on extensive instrument analysis such as high-performance liquid chromatography and mass spectrometry, which are costly, time-consuming, and cannot transmit and share detection results in real-time. The combination of smartphones and POCT modules can realize new methods of intelligent POCT of mycotoxins. It has the advantages of low detection costs, short time, high sensitivity, high throughput, and sharing detection results in real-time. Given the scientific problems of poor detection sensitivity, low throughput, and difficulty in real-time transmission and sharing of detection results in the existing intelligent POCT for mycotoxins in foods, we studied a high sensitivity and high-throughput Intelligent POCT for multi-mycotoxins. We analyzed the sensitivity enhancement and noise reduction mechanism to provide a theoretical basis for intelligent POCT of multi-mycotoxins in foods.
Audience Take Away:
- The audience can learn about the status of mycotoxins contamination in food and current detection methods, which can help them expand their research or teaching.
- The audience can learn the sensitization and noise reduction mechanism of mycotoxins detection, which will help them better understand the theoretical basis of intelligent detection.
- The audience can learn about the combination of intelligent detection and food safety technology, which will help them understand intelligent detection and future research.