AIMC Topic: Food Analysis

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Data integrity of food and machine learning: Strategies, advances and prospective.

Food chemistry
Data integrity is an emerging concept aimed at recording real food properties in the form of data throughout the food lifecycle. However, due to the one-sided nature of current food control data, the comprehensive implementation of data integrity has...

Application of artificial intelligence in the rapid determination of moisture content in medicine food homology substances.

Food chemistry
Moisture content is crucial in quality testing of medicine food homology substances. This study aimed to present a new modeling method for moisture content based on near-infrared spectroscopy. When comparing three methods of partial least squares reg...

Fluorescent Microneedle Sensors Based on Tb@Hydrogen-Bonded Organic Frameworks for Real-Time Food Freshness Monitoring.

Inorganic chemistry
As crucial biomarkers of food spoilage, portable and real-time monitoring of the biogenic amines (BAs) is essential to ensuring food safety. In light of this, a ratiometric fluorescent probe (Tb@HOF-BPTC) is developed, which exhibits distinct fluores...

Enhancing pyrrolizidine alkaloid separation and detection: LC-MS/MS method development and integration of ion mobility spectrometry into the LC-HRMS workflow.

Journal of chromatography. A
Pyrrolizidine alkaloids (PAs) are plant toxins occurring in different foodstuffs, including teas, herbal infusions and species. Additionally, PAs may be transferred to honey and pollen when honeybees come into contact with contaminated plants. Due to...

Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development.

Comprehensive reviews in food science and food safety
The food flavor science, traditionally reliant on experimental methods, is now entering a promising era with the help of artificial intelligence (AI). By integrating existing technologies with AI, researchers can explore and develop new flavor substa...

Recent advances of machine learning in the geographical origin traceability of food and agro-products: A review.

Comprehensive reviews in food science and food safety
The geographical origin traceability of food and agro-products has been attracted worldwide. Especially with the rise of machine learning (ML) technology, it provides cutting-edge solutions to erstwhile intractable issues to identify the origin of fo...

Machine vision combined with deep learning-based approaches for food authentication: An integrative review and new insights.

Comprehensive reviews in food science and food safety
Food fraud undermines consumer trust, creates economic risk, and jeopardizes human health. Therefore, it is essential to develop efficient technologies for rapid and reliable analysis of food quality and safety for food authentication. Machine vision...

[Migration of Metals Contained in Laminated Films for Food Packaging].

Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan
Multilayer laminated films are widely used as food packaging materials. The substances contained in these films have the potential to migrate into food in contact, but the actual situation is unknown. In this study, we first determined the contents o...

Food Metabolomics.

Journal of nutritional science and vitaminology
Foods contain not only nutrients but also a wide variety of components related to flavor and functionality. Many studies have been conducted on the components of foods. Quantitative analysis has been used to assess compounds in food such as sugars, a...

[Determination of 15 3-chloro-1,2-propanediol fatty acid esters in vegetable oils and fritters by ultra performance convergence chromatography-tandem mass spectrometry].

Se pu = Chinese journal of chromatography
The presence of 3-chloro-1,2-propanediol fatty acid esters (3-MCPDE) in food and processed materials has recently become a topic of concern because of the toxicity of their metabolites. 3-MCPDE structurally similar to glyceride, which makes it diffic...