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Identification of Tequila with an Array of ZnO Thin Films: A Simple and Cost-Effective Method.
Acuña-Avila, Pedro Estanislao; Calavia, Raúl; Vigueras-Santiago, Enrique; Llobet, Eduard.
Afiliação
  • Acuña-Avila PE; Universidad Tecnológica de Zinacantepec, Av. Libramiento Universidad 106, San Bartolo el Llano, 51361 Zinacantepec, Estado de México, Mexico. pacua2@gmail.com.
  • Calavia R; MINOS-EMaS, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain. raul.calavia@urv.cat.
  • Vigueras-Santiago E; 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. vigueras@uaemex.mx.
  • Llobet E; MINOS-EMaS, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain. eduard.llobet@urv.cat.
Sensors (Basel) ; 17(12)2017 Dec 19.
Article em En | MEDLINE | ID: mdl-29257051
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: México País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: México País de publicação: Suíça