AIMC Topic: Wine

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Alkaline conditions better extract anti-inflammatory polysaccharides from winemaking by-products.

Food research international (Ottawa, Ont.) Jul 3, 2019
Winemaking generates large amounts of by-products, a well recognized source of phenolic compounds. However, less attention has been paid to the polysaccharide-rich fraction (PRF) and effects of fractionation techniques on its potential bioactivity. T...
Polysaccharides RAW 264.7 Cells Animals Chemical Fractionation Mice Anti-Inflammatory Agents Food Industry Wine Food Technology Hydrogen-Ion Concentration Industrial Waste
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Characterization of Key Aroma Compounds in a Commercial Rum and an Australian Red Wine by Means of a New Sensomics-Based Expert System (SEBES)-An Approach To Use Artificial Intelligence in Determining Food Odor Codes.

Journal of agricultural and food chemistry Mar 26, 2019
Although to date more than 10 000 volatile compounds have been characterized in foods, a literature survey has previously shown that only 226 aroma compounds, assigned as key food odorants (KFOs), have been identified to actively contribute to the ov...
Wine Odorants Expert Systems Artificial Intelligence Australia Flavoring Agents Alcoholic Beverages Olfactometry Volatile Organic Compounds Smell Chromatography, Gas Humans
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Vineyard water status assessment using on-the-go thermal imaging and machine learning.

PloS one Feb 1, 2018
The high impact of irrigation in crop quality and yield in grapevine makes the development of plant water status monitoring systems an essential issue in the context of sustainable viticulture. This study presents an on-the-go approach for the estima...
Machine Learning Algorithms Dehydration Crops, Agricultural Agricultural Irrigation Computer Simulation Wine Vitis
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An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 12, 2018
Variable selection plays a key role in classification and multivariate calibration. Variable selection methods are aimed at choosing a set of variables, from a large pool of available predictors, relevant to the analyte concentrations estimation, or ...
Wine Calibration Artificial Intelligence Plant Weeds Gasoline Algorithms Least-Squares Analysis Introduced Species Triticum
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Dual solid-phase and stir bar sorptive extraction combined with gas chromatography-mass spectrometry analysis provides a suitable tool for assaying limonene-derived mint aroma compounds in red wine.

Analytica chimica acta Dec 12, 2017
A novel analytical method was developed for quantitative determination of eight limonene-derived monoterpenes responsible for the mint aroma in red wine. As these aromatic compounds are present at trace levels, a new dual extraction approach was prop...
Terpenes Cyclohexenes Limit of Detection Wine Solid Phase Extraction Gas Chromatography-Mass Spectrometry Reproducibility of Results Odorants Monoterpenes Mentha Food Additives Limonene
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Robust Grape Detector Based on SVMs and HOG Features.

Computational intelligence and neuroscience May 18, 2017
Detection of grapes in real-life images is a serious task solved by researchers dealing with precision viticulture. In the case of white wine varieties, grape detectors based on SVMs classifiers, in combination with a HOG descriptor, have proven to b...
Rotation Wine Vitis Support Vector Machine
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An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy.

PloS one Nov 11, 2016
For ensemble learning, how to select and combine the candidate classifiers are two key issues which influence the performance of the ensemble system dramatically. Random vector functional link networks (RVFL) without direct input-to-output links is o...
Pattern Recognition, Automated Humans Lung Neural Networks, Computer Diabetes Mellitus Machine Learning Algorithms Wine Brain Neoplasms
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Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties.

Food chemistry Sep 7, 2016
The generalization ability of hyperspectral imaging combined with neural networks (NN) in estimating pH and anthocyanin content during ripening was evaluated for vintages and varieties not employed in the NN creation. A NN, from a previously publishe...
Wine Vitis Anthocyanins Hydrogen-Ion Concentration Neural Networks, Computer Food Analysis
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A fuzzy-logic-based controller for methane production in anaerobic fixed-film reactors.

Environmental technology May 13, 2016
The main objective of this work was to develop a controller for biogas production in continuous anaerobic fixed-bed reactors, which used effluent total volatile fatty acids (VFA) concentration as control input in order to prevent process acidificatio...
Industrial Waste Bioreactors Wine Wastewater Waste Disposal, Fluid Fuzzy Logic Methane Fatty Acids, Volatile
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Liquid chromatography quadrupole time-of-flight mass spectrometry selective determination of ochratoxin A in wine.

Food chemistry Dec 9, 2015
The performance of liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) for ochratoxin A (OTA) determination in wine is evaluated for the first time. Sample preparation was optimized to obtain quantitative recoveries at the ...
Solid Phase Extraction Ochratoxins Mass Spectrometry Chromatography, Liquid Wine
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