The review is a novel compilation of conventional residue detection methods and emerging omics-driven, artificial intelligence (AI)-assisted approaches and identifies current limitations, including matrix interferences and regulatory disparities, and advocates for the harmonization of residue standards, alongside the development of cost-effective, high-throughput analytical platforms to ensure food safety, improve risk assessment, and enhance understanding of plant metabolic responses under pesticide stress
Aqu te explico exactamente qu cambia, por qu importa y cmo elegir la forma correcta segn tu objetivo
Zhou Y, Chen Z, Zhao D, Li D, He C, Chen X
Hwang JW, Baek YM, Jang IS, Yang KE, Lee DG, Yoon SJ, Rho J, Cho CK, Lee YW, Kwon KR, Yoo HS