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Sensors 2017, 17(12), 2943; doi:10.3390/s17122943

Identification of Tequila with an Array of ZnO Thin Films: A Simple and Cost-Effective Method

Universidad Tecnológica de Zinacantepec, Av. Libramiento Universidad 106, San Bartolo el Llano, 51361 Zinacantepec, Estado de México, Mexico
MINOS-EMaS, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain
Laboratorio de Investigación y Desarrollo de Materiales Avanzados (LIDMA), Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón Esquina Paseo Tollocan, Toluca 50200, Estado de México, Mexico
Author to whom correspondence should be addressed.
Received: 24 November 2017 / Revised: 12 December 2017 / Accepted: 14 December 2017 / Published: 19 December 2017
(This article belongs to the Section Chemical Sensors)
View Full-Text   |   Download PDF [3411 KB, uploaded 19 December 2017]   |  


An array of ZnO thin film sensors was obtained by thermal oxidation of physical vapor deposited thin Zn films. Different conditions of the thermal treatment (duration and temperature) were applied in view of obtaining ZnO sensors with different gas sensing properties. Films having undergone a long thermal treatment exhibited high responses to low ethanol concentrations, while short thermal treatments generally led to sensors with high ethanol sensitivity. The sensor array was used to distinguish among Tequilas and Agave liquor. Linear discriminant analysis and the multilayer perceptron neural network reached 100% and 86.3% success rates in the discrimination between real Tequila and Agave liquor and in the identification of Tequila brands, respectively. These results are promising for the development of an inexpensive tool offering low complexity and cost of analysis for detecting fraud in spirits. View Full-Text
Keywords: Tequila identification; ZnO thin films; gas sensor array; pattern recognition Tequila identification; ZnO thin films; gas sensor array; pattern recognition

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Acuña-Avila, P.E.; Calavia, R.; Vigueras-Santiago, E.; Llobet, E. Identification of Tequila with an Array of ZnO Thin Films: A Simple and Cost-Effective Method. Sensors 2017, 17, 2943.

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