AIMC Topic: Flavoring Agents

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Machine learning-assisted aroma profile prediction in tomato puree based on flavoromics.

Food chemistry
Flavor serves as a key quality indicator in tomato puree (TP) processing; however, conventional methods often fall short in providing rapid and accurate assessments. To address this limitation, this study integrated flavoromics with machine learning ...

Hybrid plant-dairy cheese: Effects of lactic acid bacteria and plant proteins on composition, proteolysis, and flavor profile.

Food chemistry
In the search to improve the sustainability of the food supply chain, the market for plant-based cheese analogs is growing. However, sensory defects, particularly related to flavor, remain a challenge. Here we developed a hybrid plant-dairy cheese th...

Discovering of novel umami-enhancing peptides from Flammulina filiformis: Combining virtual screening, machine learning, molecular dynamics simulations, and sensory evaluation.

Food chemistry
This research employed integrated machine learning and bioinformatics approaches to identify umami-enhancing peptides from Flammulina filiformis, elucidate their mechanisms of umami augmentation, and validate their efficacy through sensory evaluation...

Recent advances in analytical approaches for aroma interaction of fermented foods: A review.

Food chemistry
The research of aroma interaction in fermented food is of great significance for in-depth analysis of aroma formation mechanism. The analytical approach for aroma interaction is the bridge between aroma perception and interaction mechanism. This revi...

Machine learning-assisted identification of core flavor compounds and prediction of core microorganisms in fermentation grains and pit mud during the fermentation process of strong-flavor Baijiu.

Food chemistry
The quality of strong-flavor Baijiu (SFB) is directly determined by key flavor compounds, which are influenced by microorganisms during fermentation. This study employed flavoromics and machine learning technologies to explore the relationship betwee...

Umami-Transformer: A deep learning framework for high-precision prediction and experimental validation of umami peptides.

Food chemistry
In food field, both identification of umami peptides and their sensory evaluation are limited by low efficiency of traditional methods and subjectivity of human-based assessments. To overcome these issues, Umami-Transformer was developed by integrati...

Evaluation, correction and masking methods for unpleasant tastes of drugs: A comprehensive review.

International journal of pharmaceutics
The unpleasant tastes of drugs, including bitterness, pungency, astringency, and sourness, significantly impedes patient adherence, particularly among pediatric and geriatric populations. Accurate evaluation of these tastes is essential for optimizin...

The screen of the key differential taste substances and its metabolic pathways for different grades of Jinhua hams based on untargeted metabolomics.

Food chemistry
Different grades of Jinhua hams have distinct tastes. However, the key differential taste substances and its metabolic pathways among the four grades of Jinhua ham have not been studied. This study used TVB-N to analyze the degree of protein oxidatio...

Machine learning discrimination of quality grades of base liquor integrating GC-TOF/MS and GC-IMS data analysis: Case study of strong-flavor Chinese baijiu.

Food chemistry
The flavor of base liquor is critical to the grading quality of Baijiu. This study focuses on the base liquor grades of five different strong-flavor Baijiu brands. Headspace Solid-phase Microextraction Gas Chromatography Time-of-flight Mass spectrome...

Applications of biosensing in assessing food flavor: advancements, challenges, and prospects.

Food chemistry
The increasing demand for high-quality, flavorful food products has driven improvements in flavor detection technologies. Traditional methods, such as sensory analysis and instrument-based techniques, often lack thorough quantitative assessments. Thi...