Artificial Intelligence Sensing: Effective Flavor Blueprinting of Tea Infusions for a Quality Control Perspective
Andrea Caratti(University of Turin), Federico Magagna(University of Turin), Carlo Bicchi(University of Turin), Chiara Cordero(University of Turin), F. Trapani(University of Turin), Erica Liberto(University of Turin), Angelica Fina(University of Turin)
Cited by 5
Related Papers
Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies
|Molecular Nutrition & Food Research|2018|238
Boosting comprehensive two-dimensional chromatography with artificial intelligence: Application to food-omics
|TrAC Trends in Analytical Chemistry|2024|42
Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessment
|Journal of Chromatography A|2023|31