AIMC Topic: Wine

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Polydopamine and silica nanoparticles magnetic solid phase extraction coupled with liquid chromatography-tandem mass spectrometry to determine phenolic acids and flavonoids in fruit wine.

Journal of food and drug analysis Sep 15, 2021
Magnetic solid phase extraction (MSPE) have been widely applied in a variety of sample preparation techniques. Herein, FeO@pDA as the sorbents for MSPE, were developed for the determination of phenolic acids and flavonoids in fruit wine samples in co...
Polymers Tandem Mass Spectrometry Indoles Wine Fruit Chromatography, Liquid Nanoparticles Solid Phase Extraction Flavonoids Spectroscopy, Fourier Transform Infrared Magnetic Phenomena Silicon Dioxide
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Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.

Molecules (Basel, Switzerland) Aug 23, 2021
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, an...
Principal Component Analysis Wine Multivariate Analysis Vitis Neural Networks, Computer Gas Chromatography-Mass Spectrometry Electronic Nose Machine Learning Smoke Odorants Volatile Organic Compounds
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Spectrofluorometric analysis combined with machine learning for geographical and varietal authentication, and prediction of phenolic compound concentrations in red wine.

Food chemistry May 18, 2021
Fluorescence spectroscopy is rapid, straightforward, selective, and sensitive, and can provide the molecular fingerprint of a sample based on the presence of various fluorophores. In conjunction with chemometrics, fluorescence techniques have been ap...
Australia Phenols Spectrometry, Fluorescence Discriminant Analysis Wine Vitis Chromatography, High Pressure Liquid Machine Learning Food Analysis
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Discrimination of white wine ageing based on untarget peak picking approach with multi-class target coupled with machine learning algorithms.

Food chemistry Feb 16, 2021
The complexity of the chemical reactions occurring during white wine storage, such as oxidation turns the capacity of prediction and consequently the capacity to avoid it extremely difficult. This study proposes an untarget methodology based on machi...
Machine Learning Time Factors Cheminformatics Oxidation-Reduction Wine Esters
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Fuzzy Divisive Hierarchical Associative-Clustering Applied to Different Varieties of White Wines According to Their Multi-Elemental Profiles.

Molecules (Basel, Switzerland) Oct 26, 2020
Wine data are usually characterized by high variability, in terms of compounds and concentration ranges. Chemometric methods can be efficiently used to extract and exploit the meaningful information contained in such data. Therefore, the fuzzy divisi...
Fuzzy Logic Cluster Analysis Wine Food Analysis
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Non-invasive setup for grape maturation classification using deep learning.

Journal of the science of food and agriculture Oct 2, 2020
BACKGROUND: The San Francisco Valley region from Brazil is known worldwide for its fruit production and exportation, especially grapes and wines. The grapes have high quality not only due to the excellent morphological characteristics, but also to th...
Humans Brazil Deep Learning Taste Wine Vitis Fruit
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Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate.

Molecules (Basel, Switzerland) Jul 21, 2020
Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is the parameter of the wood that reflects its oxygen permeation. OTR has not been considered in the cooperage industry yet; however, recent studies propo...
Food Packaging Oxidation-Reduction Oxygen Wine Wood Artificial Intelligence Time Factors
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How much are we exposed to alcohol in electronic media? Development of the Alcoholic Beverage Identification Deep Learning Algorithm (ABIDLA).

Drug and alcohol dependence Jan 9, 2020
BACKGROUND: Evidence demonstrates that seeing alcoholic beverages in electronic media increases alcohol initiation and frequent and excessive drinking, particularly among young people. To efficiently assess this exposure, the aim was to develop the A...
Beer Alcohol Drinking Alcoholic Beverages Mass Media Adult Algorithms Humans Male Female Reproducibility of Results Deep Learning Adolescent Wine Pattern Recognition, Automated
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Aroma perceptual interactions of benzaldehyde, furfural, and vanillin and their effects on the descriptor intensities of Huangjiu.

Food research international (Ottawa, Ont.) Nov 21, 2019
Aldehydes are important in the aroma of Huangjiu and contribute the almond and sweet aromas to Huangjiu. The perceptual interactions of 3 important aldehyde compounds were investigated using S-curves. Three volatiles, benzaldehyde, furfural, and vani...
Young Adult Adult Smell Male Odorants Volatile Organic Compounds Humans Taste Benzaldehydes Food Analysis Female Consumer Behavior Furaldehyde Wine Gas Chromatography-Mass Spectrometry
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Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach.

Sensors (Basel, Switzerland) Jul 30, 2019
Bushfires are becoming more frequent and intensive due to changing climate. Those that occur close to vineyards can cause smoke contamination of grapevines and grapes, which can affect wines, producing smoke-taint. At present, there are no available ...
Spectroscopy, Near-Infrared Smartphone Biosensing Techniques Wine Humans Fruit Vitis Machine Learning Fires Smoke
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