AIMC Topic: Food Contamination

Clear Filters Showing 11 to 20 of 230 articles

The SERS method based on the COF-ag substrate, combined with machine learning, is used for the detection of tetracycline and oxytetracycline in milk.

Food chemistry
Tetracycline antibiotics, valued for potent antibacterial effects, are widely used in livestock but raise concerns over unsafe residues in milk. In this study, a surface-enhanced Raman spectroscopy (SERS) method based on an amino-functionalized coval...

AI-powered programmable wetting-delamination μPAD for point-of-care food safety detection.

Biosensors & bioelectronics
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excessive pesticide application and the presence of exogenous proteins from GM crops pose significant risk...

Food processing strategies using glass transition and bio-food encapsulation for enhanced microbial management and food safety.

Food chemistry
The demand for sustainable food packaging methods has increased because of rising ecological issues and customer demand for eco-friendly products. Improving food safety and extending shelf life are essential targets for the food industry, which requi...

Frontier research on the risk of spoilage microorganisms in refrigerated marine fish: From regional to global perspectives.

International journal of food microbiology
Microbial spoilage is creating safety risks and significant wastage of refrigerated marine fish. Spoilage microorganisms possess distinct physiological adaptations that enable them to contribute to the spoilage of refrigerated marine fish, thereby co...

Efficacious paper-based colorimetric detection of bacterial contamination in vegetables utilizing indicator dyes and machine learning.

Food chemistry
Food contamination from bacteria and resulting spoilage has been a persistent problem in the supply chain, leading to substantial waste and financial loss. Likewise, vegetables are prone to microbial contamination due to poor/unhygienic agricultural ...

Hollow polydopamine for the enhanced ultrasensitive dual-modal immunochromatographic detection of Salmonella typhimurium in dairy products via machine learning.

Mikrochimica acta
Salmonella typhimurium (S. typhimurium) A dual-mode colorimetric/photothermal immunochromatographic strip (ICS) employing hollow polydopamine nanoparticles (h-PDA) is reported for the ultrasensitive detection of Salmonella typhimurium (S. typhimurium...

Methods for sample preparation and signal amplification in antibiotic detection using surface-enhanced Raman scattering.

Food chemistry
The widespread use of antibiotics, along with their unregulated infiltration into the environment, presents a significant waste challenge for the ecosystem and poses an equal risk to all species. Advanced tools are essential for the pretreatment, iso...

Classification and quantification of sesame oil in edible oils and adulterated mixtures using H NMR spectroscopy combined with multivariate, machine learning, and deep learning models.

Food chemistry
Sesame oil is often adulterated with cheaper oils, necessitating accurate authentication and quantification methods. This study investigates the performance of AI-based models using H NMR spectral data for edible oil classification and sesame oil qua...

Machine Learning-Driven Dual-Recognition Magnetic Imprinted Polymers: Host-Guest/Aptamer Synergy Enabling Ultrasensitive Chloramphenicol Detection.

Analytical chemistry
To address the challenges in detecting chloramphenicol (CAP) in complex food matrices, this study developed a magnetic solid-phase microextraction coupled with a high-performance liquid chromatography (MSPME-HPLC) system that integrates machine learn...

MXene-based intelligent sensors in food safety monitoring: Synthesis strategies, on-site applications and novel insights into prospects.

Food chemistry
MXene, a family of two-dimensional transition metal carbides/nitrides, has attracted significant attention in food safety due to its exceptional properties that enable the design of highly efficient sensors. Consequently, a growing consensus in the s...