AIMC Topic: Food Packaging

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Anthocyanins loaded bilayer films based on polysaccharides assisted by machine learning for fish freshness monitoring.

Food chemistry
Novel multifunctional packaging for monitoring and maintaining food freshness has been developed. Bilayer films based on polysaccharides incorporating red cabbage anthocyanins were prepared. Anthocyanins were encapsulated in the inner layer based on ...

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...

Bacterial polysaccharides in the food industry: Synthesis-structure-properties relationships, AI-driven innovations, regulatory challenges, and bioeconomy prospects.

Carbohydrate polymers
Bacterial polysaccharides have attracted considerable interest due to their rapid production, customizable properties, and suitability for large-scale manufacturing. Unlike plant or algal polysaccharides, they can be efficiently synthesized through f...

Escherichia coli O157:H7 survival and transfer dynamics on cold chain packaging materials: An integrated experimental-machine learning framework.

International journal of food microbiology
This study presents a comprehensive investigation of Escherichia coli O157:H7 survival and transfer on six cold chain packaging materials through experimental characterization and machine learning modeling. Survival experiments revealed significant m...

Prediction of blown pack in vacuum-packaged beef based on microbiome profiles and supervised machine learning.

International journal of food microbiology
The preservation of vacuum-packaged beef products is essential for maintaining shelf life. However, the occurrence of blown pack phenomenon, characterized by the expansion of packaging due to gas production by spoilage microorganisms, is still a chal...

Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors.

Scientific reports
Seafood, including fish, prawns and various marine products, is a critical component of global nutrition due to its high protein content, essential fatty acids, vitamins and minerals. Traditional methods for assessing seafood freshness such as sensor...

Unveiling Hidden Health Risks: Machine Learning Enhanced Modeling of Plastic Additive Release Kinetics in Fresh Produce Packaging.

Environmental science & technology
Fresh produce packaging (FPP) plays a critical role in protecting fruits and vegetables from various environmental factors. However, the presence, migration, and human health risks of additives in FPP have received limited attention. This study inves...

Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques.

Scientific reports
Chemicals transfer from the packaging materials and their dissolution in food and water can create health risks. Due to the costly and time-intensive nature of experimental measurements, employing artificial intelligence (AI) methodologies is benefic...

Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.

Waste management (New York, N.Y.)
Accurate identification of plastic materials from post-consumer food container and packaging waste is crucial for enhancing the purity and added value of recycled materials, thereby promoting recycling and addressing the issue of plastic pollution. H...

An intelligent fruit freshness monitoring system using hydrophobic indicator labels based on methylcellulose, k-carrageenan, and sodium tripolyphosphate, combined with deep learning.

International journal of biological macromolecules
As the demand for food quality and safety continues to rise, pH-responsive intelligent packaging technologies have found widespread application in the monitoring of food freshness. This study introduces a methylcellulose (MC)-based indicator label de...