Tea storage is a critical determinant in determining the quality of tea products. This study systematically investigated the quality alterations of instant green tea during storage and developed an intelligent evaluation method by integrating compute...
International journal of food microbiology
Jul 31, 2025
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...
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...
Recent advances in fish freshness evaluation rely on a combination of optical imaging and artificial intelligence due to their applicability to non-invasive and non-destructive measurements. Using trout salmon, red sea bream, and Japanese amberjack, ...
Plant foods for human nutrition (Dordrecht, Netherlands)
Jul 15, 2025
The accurate prediction of bioactive compounds and antioxidant activity in food matrices is critical for optimizing nutritional quality and industrial applications. This study compares the performance of multiple linear regression (MLR) and artificia...
As a widely consumed prepared food, the preservation of nutrient retention and sensory quality in batter fried oysters is a significant concern. Deep frying, air frying, and vacuum frying (VF) were used to prepare battered fried oysters. Guar gum (GG...
Dynamic shelf-life monitoring of fresh-cut fruits faces challenges from temperature fluctuations and packaging failures in cold chains, causing discrepancies between theoretical predictions and actual spoilage. This study developed a dual colorimetri...
Monitoring physical color and spectral signatures is essential for the early detection of spoilage in perishable food products. This study introduces a cost-effective, Machine Learning (ML)-enabled spectrophotometer for nondestructive spoilage detect...
Mandarin ( L.) is consumed worldwide. Improper storage temperatures cause flavor loss and shorten shelf lives, reducing marketability. Mandarins' quality is difficult to assess visually, as they show no apparent changes during storage. Therefore, a s...
Food research international (Ottawa, Ont.)
Apr 18, 2025
A rapid and chemical-free method based on hyperspectral imaging (HSI) integrated with artificial intelligence (AI) for monitoring dried shrimp quality was developed. Dried shrimp was packaged in a polypropylene bag and chronologically monitored for c...
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