AIMC Topic: Food Handling

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Study of the sensory profile of Coffea canephora through malting/fermentation using HS-SPME-GC-MS and synthetic sampling combined with random forest.

Food chemistry
The sensory attributes of Coffea canephora beverages depend on the chemical composition of the bean, especially to the content of volatile organic compounds (VOCs). However, the relative abundance of these compounds may vary with the stage of bean ma...

Prediction and metabolomics reveal aroma profiles of mead aged in glass bottle and oak barrels.

Food chemistry
Metabolomic analysis of volatile compounds in mead during aging in glass bottles and oak barrels revealed significant impacts on sensory characteristics. Using headspace solid-phase microextraction gas chromatography-mass spectrometry with three colu...

Leveraging Blockchain and AI for Biofilm Control in Food Processing Environments.

Comprehensive reviews in food science and food safety
Biofilm formation in food processing environments significantly threatens food safety and quality due to its resistance to conventional cleaning and disinfection methods. These resilient microbial communities contribute to contamination, spoilage and...

YSFER-Tobacco: an effective model for detection of non-tobacco related materials in tobacco sorting process.

Journal of the science of food and agriculture
BACKGROUND: In the process of tobacco sorting, removing non-tobacco related materials (NTRMs) is crucial for the quality of tobacco products. Because of the small size of NTRMs and the abundance and stacking of tobacco leaves, detection of NTRMs is s...

Miniaturized spectroscopy and AI-driven probes in food industry automation.

Food research international (Ottawa, Ont.)
Spectroscopy is a rapidly advancing analytical technique, which is increasingly employed in the food industry as a non-destructive and rapid quality control tool. Based on spectral analysis and developed multivariate predictive models this technique ...

Characterize and explore the dynamic changes in the volatility profiles of sauce-flavor baijiu during different rounds by GC-IMS, GC-MS and GC×GC-MS combined with machine learning.

Food research international (Ottawa, Ont.)
The production process of sauce-flavor baijiu (SFB) involves seven distillations, yielding base baijiu of 7 rounds (RSFB), which are then blended to form the final product. Therefore, the quality of the base baijiu is closely related to the quality o...

Hybridization in Meat-Based Dual Protein Foods: Mechanisms, Challenges, and Consumer Insights.

Comprehensive reviews in food science and food safety
As the global demand for protein-rich foods continues to rise, developing innovative solutions to enhance sustainability and nutritional quality in meat production has become increasingly important. Meat is a tasty source of high-quality protein and ...

Approaches for Measuring and Predicting Fouling During Thermal Processing of Dairy Solutions.

Comprehensive reviews in food science and food safety
Fouling during the thermal processing of dairy products remains a significant challenge, reducing operational efficiency, increasing energy consumption, and complicating cleaning cycles. This review critically assesses current methods for measuring a...

Harnessing artificial intelligence for advancements in Rice / wheat functional food Research and Development.

Food research international (Ottawa, Ont.)
In recent years, the research and development (R&D) of rice and wheat functional foods has attracted a widespread attention from food researchers, driven by the increasing global food consumption and growing consumer demand for healthier and safer fo...

Machine Learning in Automated Food Processing: A Mini Review.

Annual review of food science and technology
Industrial food processing is rapidly transforming into automation and digitalization. Automated food processing systems adapt to variations in raw materials and product quality requirements. Implementing automated processing systems can potentially ...