AIMC Topic: Flavoring Agents

Clear Filters Showing 31 to 37 of 37 articles

Machine learning models for terroir classification and blend similarity prediction: A proof-of-concept to enhance cocoa quality evaluation.

Food chemistry
Flavour is a key quality attribute of cocoa, essential for industry standards and consumer preferences. Automated methods for assessing flavour quality support industrial laboratories in achieving high sample throughput. Targeted and untargeted HS-SP...

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...

Demystifying food flavor: Flavor data interpretation through machine learning.

Food chemistry
Flavor data obtained from analytical techniques are vast and complex, which increases the difficulty of multi-factorial analysis. This study aims to provide a machine learning (ML)-based framework to interpret flavor data, exploiting four widely used...

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...

Machine learning-assisted aroma profile prediction in Jiang-flavor baijiu.

Food chemistry
The complex flavor of Jiang-flavor Baijiu (JFB) arises from the interaction of hundreds of compounds at both physicochemical and sensory levels, making accurate perception challenging. Modern machine learning techniques offer precise and scientific a...

Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu.

Food chemistry
The quality of Sauce-flavor baijiu hinges on sensory characteristics and key aroma compounds, which traditional methods struggle to evaluate accurately and effectively. This study explores the sensory characteristics and aroma compounds of Sauce-flav...

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...