Classification of Spanish Red Wines Using Artificial Neural Networks with Enological Parameters and Mineral Content

  1. Isabel M. Moreno 1
  2. Ángel Gutiérrez Fernández 2
  3. Maria del Carmen Rubio 2
  4. Antonio Gustavo González González 1
  5. Dailos González Weller 3
  6. Naoual Ben-Charki El-Mousati 2
  7. Arturo Hardisson de la Torre 2
  8. Consuelo Revert Gironés 2
  1. 1 Universidad de Sevilla

    Universidad de Sevilla

    Sevilla, España


  2. 2 Universidad de La Laguna

    Universidad de La Laguna

    San Cristobal de La Laguna, España


  3. 3 Canarian Public Health Service
American Journal of Enology and Viticulture

ISSN: 0002-9254

Year of publication: 2018

Volume: 69

Issue: 2

Pages: 167-175

Type: Article

DOI: 10.5344/ajev.2017.17021 DIALNET GOOGLE SCHOLAR


Spanish red wines from the Canary Islands were categorized into seven classes: Tacoronte-Acentejo (class T), Valle de la Orotava (class O), Ycoden-Daute-Isora (class YDI), Abona (class A), Valle de Güímar (class VG), La Gomera (class G), and La Palma (class P), and 20 samples were studied from each denomination of origin. Metal concentrations (B, Ca, Cd, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Ni, Na, Pb, and Zn) and physicochemical parameters (pH, volatile acidity, total acidity, malic acid, acetic acid, reducing sugars, alcohol content, free sulfur dioxide, total sulfur dioxide, and total polyphenols) were used as descriptors to differentiate among classes. Supervised learning pattern recognition procedures were applied. Linear discriminant analysis allowed up to ~80% of correct classification. To improve discriminatory accuracy, another kind of algorithm that can model nonlinear separation among classes was considered: artificial neural networks. This method obtained excellent results, with 100% of the 140 wines correctly placed into the associated seven classes. Our results are in good agreement with the working hypothesis of differentiation among wines coming from different locations, including both different islands and different sites on Tenerife Island.