AIMC Topic: Food Packaging

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

Scientific reports Jul 18, 2025
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...
Food Quality Food Preservation Food Storage Food Packaging Machine Learning Paper Animals Fishes Hydrogen-Ion Concentration Seafood
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Unveiling Hidden Health Risks: Machine Learning Enhanced Modeling of Plastic Additive Release Kinetics in Fresh Produce Packaging.

Environmental science & technology Jun 10, 2025
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...
Food Packaging Plastics Kinetics Humans Machine Learning Plasticizers Fruit Vegetables
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Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques.

Scientific reports Mar 6, 2025
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...
Water Food Packaging Food Contamination Machine Learning Algorithms Neural Networks, Computer
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Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.

Waste management (New York, N.Y.) Feb 18, 2025
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...
Plastics Recycling Terahertz Spectroscopy Polyethylene Terephthalates Food Packaging Machine Learning Bayes Theorem
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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 Jan 17, 2025
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...
Polyphosphates Methylcellulose Fruit Deep Learning Carrageenan Food Packaging Hydrophobic and Hydrophilic Interactions Food Quality
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Assessment of type and quantities of food and beverage plastic packaging: A case study.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Dec 8, 2024
Plastic pollution has been identified as one of the most pressing environmental issues of the 21st century, driven by excessive consumption and inadequate plastic waste management. This issue is particularly reflected in short lifespan of plastic pro...
Food Packaging Plastics Waste Management Product Packaging Montenegro Beverages Recycling
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Effect-directed analysis of genotoxicants in food packaging based on HPTLC fractionation, bioassays, and toxicity prediction with machine learning.

Analytical and bioanalytical chemistry Nov 23, 2024
Many chemicals in food packaging can leach as complex mixtures to food, potentially including substances hazardous to consumer health. Detecting and identifying all of the leachable chemicals are impractical with current analytical instrumentation an...
Machine Learning Food Packaging Biological Assay Animals Chromatography, Thin Layer Tandem Mass Spectrometry Mutagens
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Near-field microwave sensing technology enhanced with machine learning for the non-destructive evaluation of packaged food and beverage products.

Scientific reports Jun 11, 2024
In the food industry, the increasing use of automatic processes in the production line is contributing to the higher probability of finding contaminants inside food packages. Detecting these contaminants before sending the products to market has beco...
Microwaves Food Contamination Food Analysis Beverages Machine Learning Support Vector Machine Algorithms Food Packaging
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Innovative AI methods for monitoring front-of-package information: A case study on infant foods.

PloS one May 16, 2024
Front-of-package (FOP) is one of the most direct communication channels connecting manufacturers and consumers, as it displays crucial information such as certification, nutrition, and health. Traditional methods for obtaining information from FOPs o...
Infant Food Infant Humans Food Packaging Artificial Intelligence Food Labeling
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Rapid and non-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and machine learning.

Meat science Mar 31, 2024
Volatile organic compounds (VOCs) indicative of pork microbial spoilage can be quantified rapidly at trace levels using selected-ion flow-tube mass spectrometry (SIFT-MS). Packaging atmosphere is one of the factors influencing VOC production patterns...
Pork Meat Machine Learning Mass Spectrometry Neural Networks, Computer Animals Swine Volatile Organic Compounds Food Microbiology Food Packaging Food Storage Oxygen
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