• Repositorio Institucional Universidad de Pamplona
  • Tesis de maestría y doctorado
  • Facultad de Ingenierías y Arquitectura
  • Maestría en Controles Industriales
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    dc.contributor.authorOrtiz Sandoval, Jesus Eduardo.-
    dc.date.accessioned2022-05-25T14:44:53Z-
    dc.date.available2016-06-08-
    dc.date.available2022-05-25T14:44:53Z-
    dc.date.issued2016-
    dc.identifier.citationOrtiz Sandoval, J. E. (2016). Detección de plaguicidas (organoclorados) en alimentos frescos (frutas) usando una nariz electrónica [Trabajo de Grado Maestría, Universidad de Pamplona]. Repositorio Hulago Universidad de Pamplona. http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/1091es_CO
    dc.identifier.urihttp://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/1091-
    dc.descriptionEl autor no proporciona la información sobre este ítem.es_CO
    dc.description.abstractEl autor no proporciona la información sobre este ítem.es_CO
    dc.format.extent84es_CO
    dc.format.mimetypeapplication/pdfes_CO
    dc.language.isoeses_CO
    dc.publisherUniversidad de Pamplona – Facultad de Ingenierías y Arquitectura.es_CO
    dc.subjectEl autor no proporciona la información sobre este ítem.es_CO
    dc.titleDetección de plaguicidas (organoclorados) en alimentos frescos (frutas) usando una nariz electronica.es_CO
    dc.typehttp://purl.org/coar/resource_type/c_bdcces_CO
    dc.date.accepted2016-03-08-
    dc.relation.references[1] M. Pinzon, Magda, Londoño, Alfonso, Blach, Diana, Gutierrez, Jorge, Rojas, “Determinación de residuos de plaguicidas organoclorados POR gc-µECD en frutos de PIÑA ( Ananas comosus L .) variedad Golden MD2 en el departamento del Quindío INTRODUCCIÓN La piña ( Ananas comosus L . ) es originaria de una amplia zona de América tropical,” vol. 9, no. 2, pp. 4–8, 2011.es_CO
    dc.relation.references[2] P. a Castro, “Determinación de residuos de plaguicidas organofosforados en muestras de tomate de la ciudad de Bogotá .,” 1989.es_CO
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    dc.relation.references[6] O. Gualdron, C. Duran, J. Ortiz, and J. Araque, “Implementation of a neural model in a hardware device(FPGA) for the classification of chemical compounds in a multisensory (E-nose),” Rev. Colomb. Tecnol. Av., vol. 2, no. 24, pp. 127–133, 2014.es_CO
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    dc.relation.references[9] J.E.Ortiz;O.Gualdron;C.M.Duran, “Detection of pesticide in the vesca fregaria through an electronic nose,” IEEE Conf. Publ. CHILECON, vol. 1, no. 1, pp. 679–683, 2015.es_CO
    dc.relation.references[10] I. Cesarino, F. C. Moraes, M. R. V Lanza, and S. A. S. MacHado, “Electrochemical detection of carbamate pesticides in fruit and vegetables with a biosensor based on acetylcholinesterase immobilised on a composite of polyaniline-carbon nanotubes,” Food Chem., vol. 135, no. 3, pp. 873–879, 2012.es_CO
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    dc.relation.references[14] V. Chandwani, V. Agrawal, and R. Nagar, “Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks,” Expert Syst. Appl., vol. 42, no. 2, pp. 885–893, 2015.es_CO
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    dc.relation.references[19] B. Zhou and J. Wang, “Discrimination of different types damage of rice plants by electronic nose,” Biosyst. Eng., vol. 109, no. 4, pp. 250–257, 2011.es_CO
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    dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2es_CO
    dc.type.coarversionhttp://purl.org/coar/resource_type/c_2df8fbb1es_CO
    Aparece en las colecciones: Maestría en Controles Industriales

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