Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling

Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors can affect the composition and levels (concentration) of volatile aromatic compounds, including the water status of grapevines, canopy management, and the effects of climate change, such as increases...

Full description

Bibliographic Details
Main Authors: Vasiliki Summerson, Claudia Gonzalez Viejo, Alexis Pang, Damir D. Torrico, Sigfredo Fuentes
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Molecules
Subjects:
machine learning
electronic nose
wine quality
climate change
bushfires
artificial neural networks
Online Access:https://www.mdpi.com/1420-3049/26/16/5108

Similar Items

Similar Items