Voltammetric Electronic Tongue and Support Vector Machines for Identification of Selected Features in Mexican Coffee

@article{Domnguez2014VoltammetricET,
  title={Voltammetric Electronic Tongue and Support Vector Machines for Identification of Selected Features in Mexican Coffee},
  author={R. Dom{\'i}nguez and Laura Moreno-Bar{\'o}n and R. Mu{\~n}oz and J. M. Guti{\'e}rrez-Salgado},
  journal={Sensors (Basel, Switzerland)},
  year={2014},
  volume={14},
  pages={17770 - 17785}
}
This paper describes a new method based on a voltammetric electronic tongue (ET) for the recognition of distinctive features in coffee samples. An ET was directly applied to different samples from the main Mexican coffee regions without any pretreatment before the analysis. The resulting electrochemical information was modeled with two different mathematical tools, namely Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM). Growing conditions (i.e., organic or non-organic… Expand
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