Insect detection by molecular diagnostics in stored products: Results from a survey in the agrifood sector

Abstract

Insect pests cause significant losses to the agrifood industry by infesting both raw materials and processed products, making effective pest detection a critical aspect of stored product management. Traditional insect detection methods, such as visual inspection after grain sieving, have limitations in sensitivity and reliability, particularly regarding detection of immature stages sometimes hidden in the grain kernels. Molecular diagnostics, particularly DNA-based techniques, offer a promising alternative for improving pest detection accuracy in a grain sample. This study, conducted as part of the INSECT-FREE project, aimed to assess the perspectives of the European agrifood sector on the adoption of molecular diagnostic tools for insect detection. A structured survey was distributed to over 50 companies, including flour mills, grain storage facilities, and food processors, to evaluate current pest management practices, challenges, and the willingness to adopt DNA-based detection methods for insects detection. Results showed that over 90% of respondents considered the presence of insects to be a major concern, with traditional detection methods still dominant. However, 70% of companies using molecular techniques for other quality control applications, such as GMO and mycotoxin detection, expressed interest in incorporating DNA-based pest detection. This indicates a significant demand for reliable, rapid, and sensitive detection methods, emphasizing the potential for integrating molecular diagnostics into pest management strategies. The implementation of these molecular techniques could improve food safety, reduce economic losses, and support regulatory compliance. Further research should focus on optimizing cost-effectiveness and accessibility to facilitate widespread adoption of these molecular diagnostic methods in the agrifood sector.