Identification of allergens in sample 23
Food allergies (FAs) are a crucial public health problem and a severe food safety issue, resulting in an urgent need for an accurate method to detect the hundreds of allergens that exist in blind food systems. Current methods for detecting allergens typically utilize ELISA, PCR or LC-MS, which can only simultaneously detect up to a dozen allergens in food samples with known components. In this study, we present a hybridization probe cluster-targeted next-generation sequencing (HPC-NGS) platform for identifying potential allergens in blind food systems. This method successfully captured target DNA fragments and identified 112 allergens in a complex food system. Additionally, the HPC-NGS provided expected allergenic species matching rates of 94.24-100% in single food materials and 99.87-99.98% in processed food products.