AIMC Topic: Wine

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A machine learning-based nuclear magnetic resonance profiling model to authenticate 'Jerez-Xérès-Sherry' wines.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 23, 2025
Traditionally, wine quality and certification have been assessed through sensory analysis by trained tasters. However, this method has the limitation of relying on highly specialized individuals who are typically trained to evaluate only specific typ...
Wine Magnetic Resonance Spectroscopy Machine Learning
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Fruit wines classification enabled by combing machine learning with comprehensive volatiles profiles of GC-TOF/MS and GC-IMS.

Food research international (Ottawa, Ont.) Feb 5, 2025
Fruit wines, produced through the fermentation of various fruits, are well-documented for their distinct flavor profiles. Intelligent sensory analysis, GC-TOF/MS and GC-IMS were used for the analysis of the volatile profile of eight types of fruit wi...
Volatile Organic Compounds Blueberry Plants Fermentation Taste Wine Prunus persica Vitis Fruit Gas Chromatography-Mass Spectrometry Neural Networks, Computer Machine Learning
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Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT.

Sensors (Basel, Switzerland) Jan 28, 2025
Ochratoxin A (OTA) contamination presents significant risks in viticulture, affecting the safety and quality of wine and grape-derived products. This study introduces a groundbreaking method for early detection and management of OTA, leveraging envir...
Ochratoxins Artificial Intelligence Food Contamination Wine Vitis
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Machine learning assisted multi-signal nanozyme sensor array for the antioxidant phenolic compounds intelligent recognition.

Food chemistry Jan 7, 2025
Identifying antioxidant phenolic compounds (APs) in food plays a crucial role in understanding their biological functions and associated health benefits. Here, a bifunctional Cu-1,3,5-benzenetricarboxylic acid (Cu-BTC) nanozyme was successfully prepa...
Machine Learning Colorimetry Phenols Neural Networks, Computer Copper Antioxidants Tea Wine
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Fusing H NMR and Raman experimental data for the improvement of wine recognition models.

Food chemistry Jun 26, 2024
The present study proposes the development of new wine recognition models based on Artificial Intelligence (AI) applied to the mid-level data fusion of H NMR and Raman data. In this regard, a supervised machine learning method, namely Support Vector ...
Proton Magnetic Resonance Spectroscopy Wine Artificial Intelligence Magnetic Resonance Spectroscopy Spectrum Analysis, Raman Support Vector Machine
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Research of 2D-COS with metabolomics modifications through deep learning for traceability of wine.

Scientific reports Jun 1, 2024
To tackle the difficulty of extracting features from one-dimensional spectral signals using traditional spectral analysis, a metabolomics analysis method is proposed to locate two-dimensional correlated spectral feature bands and combine it with deep...
Wine Chromatography, High Pressure Liquid Metabolomics Neural Networks, Computer Deep Learning Mass Spectrometry
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Moderate wine consumption measured using the biomarker urinary tartaric acid concentration decreases inflammatory mediators related to atherosclerosis.

The journal of nutrition, health & aging Dec 6, 2023
OBJECTIVES: Several studies suggest that moderate wine consumption, particularly red wine, may have benefits for cardiovascular health. Red wine contains a variety of bioactive compounds, including polyphenols like phenolic acids, which have demonstr...
Tartrates Longitudinal Studies Biomarkers Wine Humans Inflammation Atherosclerosis Anti-Inflammatory Agents
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Identification of Chinese red wine origins based on Raman spectroscopy and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 10, 2023
In this study, we combined Raman spectroscopy with deep learning for the first time to establish an accurate, simple, and fast method to identify the origin of red wines. We collected Raman spectra from 200 red wine samples of the Cabernet Sauvignon ...
Geography Deep Learning Spectrum Analysis, Raman Wine
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Application of fuzzy algorithms in conjunction with H-NMR spectroscopy to differentiate alcoholic beverages.

Journal of the science of food and agriculture Jan 4, 2023
BACKGROUND: Recent statistics from the European Commission indicate that wine is one of the commodities most commonly subject to food fraud. In this context, the development of reliable classification models to differentiate alcoholic beverages requi...
Wine Alcoholic Beverages Magnetic Resonance Spectroscopy Artificial Intelligence
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Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Food research international (Ottawa, Ont.) Oct 17, 2021
Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made from honey and "gesho" (Rhamnus prinoides). Till now, limited amount of information is available on the characterization of Tej. Thus, the aim of this ...
Ethiopia Microbiota Wine Antioxidants Honey
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