Aflatoxins represent a global public health and economic concern as they are responsible
for significant adverse health and economic issues affecting consumers and farmers …

Infrared (IR) spectroscopy is increasingly being used to analyze food crops for quality and
safety purposes in a rapid, nondestructive, and eco‐friendly manner. The lack of sensitivity …

Here, a dual-mode quenched electrochemiluminescence (ECL) immunosensor based on
PtPd@ PDA was proposed. Among them, nitrogen-doped hydrazide conjugated carbon dots …

The implementation of low‐cost and rapid technologies for the on‐site detection of
mycotoxin‐contaminated crops is a promising solution to address the growing concerns of …

Cereal grains and nuts are represented as the economic backbone of many developed and
developing countries. Kernels of cereal grains and nuts are prone to mold infection under …

Deep learning is an important research achievement of artificial intelligence in recent years
and has received special attention from scientists around the world. This study applies deep …

This work provides a novel approach to monitor the aflatoxin B1 (AFB1) content in maize by
near-infrared (NIR) spectra-based deep learning models that integrates Markov transition …

Introduction Aflatoxin (AFL), a secondary metabolite produced from filamentous fungi,
contaminates corn, posing significant health and safety hazards for humans and livestock …

Traditional methods for detecting foodstuff hazards are time-consuming, inefficient, and
destructive. Spectral imaging techniques have been proven to overcome these …

Aflatoxins are among the main carcinogens threatening food and feed safety while imposing
major detection challenges to the agrifood industry. Today, aflatoxins are typically detected …