Formaldehyde (FA), a known carcinogen, is occasionally used illegally as a preservative in seafood, while traditional detection methods for FA residues often fail to meet the practical needs for nondestructive detection. In this study, a approach was...
The Maillard reaction generates hazardous processing contaminants, including acrylamide (AA) and Nε-(carboxymethyl)lysine (CML), necessitating effective inhibitors. Here we use machine learning approaches to predict how catechin treatment reduces sim...
This study proposes a method for detecting trace quinolone antibiotics in milk using a ternary composite surface-enhanced Raman spectroscopy (SERS) substrate. It combines chemometric algorithms and deep learning models to achieve qualitative and quan...
Food safety challenges escalate with global population growth and complex supply chains. Traditional analytical methods, though precise, face limitations in speed and adaptability. Machine learning (ML) offers data-driven solutions, excelling in cont...
Organophosphorus pesticides (OPs), widely used in agriculture, have become major focuses of research in food safety and environmental pollution control due to their neurotoxicity and environmental persistence. In recent years, molecularly imprinted p...
Methanol poisoning poses significant health risks, particularly in less developed countries, where adulterated alcoholic beverages often lead to severe morbidity and mortality. Current diagnostic methods, such as gas-liquid chromatography and blood g...
Distinguishing between natural antioxidant phenolic compounds or contaminants in food matrices is crucial for ensuring food quality and safety. In this context, nanozyme-based sensors have emerged as promising tools, demonstrating significant potenti...
Journal of agricultural and food chemistry
Jun 6, 2025
Validation of analytical methods to assess figures of merit and other key performance parameters is a fundamental requirement within the fitness-for-purpose concept. By combining generative AI and subject matter review, this perspective article provi...
In an era of increasing digital threats and product counterfeiting, this study introduces MA-IPA@NPA, a groundbreaking hydrogen-bonded organic framework (HOF) material designed for advanced anticounterfeiting applications. This innovative material sh...
Food traceability is a critical aspect of quality control and food safety. In this study, a high-throughput analysis system with an analysis time of 13 min was developed for the detection of pesticide residues in corn, achieving low limits of detecti...
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