Analysis of total phenolic, flavonoids, anthocyanins and tannins content in Romanian red wines: Prediction of antioxidant activities and classification of wines using artificial neural networks

Author:

Hosu Anamaria,Cristea Vasile-Mircea,Cimpoiu Claudia

Funder

CNCSIS–UEFISCSU

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference28 articles.

1. Antioxidant activity prediction and classification of some teas using artificial neural networks;Cimpoiu;Food Chemistry,2011

2. Monitoring the origin of wine by reversed-phase thin-layer chromatography;Cimpoiu;Journal of Planar Chromatography–Modern TLC,2007

3. Anthocyanin, phenolic composition, colour measurement and sensory analysis of BC commercial red wines;Cliff;Food Research International,2007

4. Vapor–liquid equilibrium predictions using neural networks in ternary system (+) fenchone+methyl chavicol+trans anethole;Cristea;Revue Roumaine de Chimie,2005

5. Neural networks approach for simulation of electrochemical impedance diagrams;Cristea;Indian Journal of Chemistry,2003

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