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      Implementation y evaluación de una nariz electrónica para la detección de alcoholes lineales Translated title: Implementation and evaluation of an electronic nose for the alcohols detection Translated title: Implementação e avaliação de um nariz eletrônico para detectar álcoois lineares

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          Abstract

          Se desarrolló una nariz electrónica que permite la detección de alcoholes de manera sencilla y económica en comparación con las narices electrónicas tradicionales. Estábasada en cuatro sensores de gas de SnO2 (dos comerciales y dos fabricados en el laboratorio), un sistema neumático irregular, un hardware y software para adquisición de datos y un software de reconocimiento de patrones. Se evaluó el comportamiento de la nariz y las condiciones de trabajo con muestras de vapor de alcoholes (metanol, etanol, n-butanol y 1-2 octanol) y se determinó que los alcoholes se pueden detectar con el arreglo de sensores preparado y pueden diferenciarse entre sí haciendo uso del análisis estadístico de componentes principales (PCA). El orden de detección encontrado para los alcoholes lineales fue el siguiente: metanol > etanol > n-butanol > 1-octanol. Se encontró también que haciendo uso del análisis de componentes principales (PCA) y realizando una normalización de los datos en el software de reconocimiento de patrones, la varianza total de las muestras también aumenta del 76% al 85%. Esto demuestra que una nariz simple y económica puede clasificar bien las muestras evaluadas.

          Translated abstract

          An electronic nose for the detection of alcohols, easy to use and inexpensive as compared to traditional electronic noses, was developed. This nose is based on four SnO2 gas sensors (two commercial and two homemade), an irregular pneumatic system, hardware and a software for data acquisition and a software for pattern recognition. The nose behavior and the working conditions with vapor samples of alcohols (methanol, ethanol, n-butanol and 1-octanol) were evaluated. Alcohols could be detected with the array of prepared sensors and could be also differentiated from each other by using principal component analysis (PCA). The detection order for linear alcohols followed the order: methanol > ethanol > n-butanol > 1-octanol. It was also found that by using PCA and performing a standardization of data in software pattern recognition so, the total variance of such information increases from 76% up to 85%. This result confirms that a simple and inexpensive nose can rank well the tested samples.

          Translated abstract

          Foi feito um nariz eletrônico que permitiu a detecção de álcoois de jeito simplis e económico em comparacao com os narices electrónicos tradicionais. Estábaseado em quatro sensores de gás SnO2 (dois comerciais e dois feitos no laboratório), um sistema pneumático irregular, hardware e software para aquisição de dados e software de reconhecimento de padrões. Foi avaliado o comportamento do nariz e as condições de trabalho com amostras de vapor de álcoois (metanol, etanol, n-butanol e 1-octanol) determinou-se que os álcoois podem ser detectados com o arranjo de sensores preparado e pode diferenciar-se entre sim usando análise de componentes principais (PCA). A ordem de detecção para os álcoois lineares encontrados foi os seguinte: metanol> etanol> n-butanol> 1-octanol. Verificou-se que, usando análise de componentes principais (PCA) e a execução de uma normalização dos dados no software de reconhecimento de padrões, a variância das amostras também aumenta de 76% para 85%. Esto demostra que um nariz simples e barato pode classificar bem as amostras avaliadas.

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          Most cited references23

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          Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose.

          Olfaction exhibits both high sensitivity for odours and high discrimination between them. We suggest that to make fine discriminations between complex odorant mixtures containing varying ratios of odorants without the necessity for highly specialized peripheral receptors, the olfactory systems makes use of feature detection using broadly tuned receptor cells organized in a convergent neurone pathway. As a test of this hypothesis we have constructed an electronic nose using semiconductor transducers and incorporating design features suggested by our proposal. We report here that this device can reproducibly discriminate between a wide variety of odours, and its properties show that discrimination in an olfactory system could be achieved without the use of highly specific receptors.
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            Metal oxides for solid-state gas sensors: What determines our choice?

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              Effects of additives on semiconductor gas sensors

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                rcq
                Revista Colombiana de Química
                Rev.Colomb.Quim.
                Departamento de Química, Universidad Nacional de Colombia. (Bogotá, Distrito Capital, Colombia )
                0120-2804
                August 2016
                : 45
                : 2
                : 12-18
                Affiliations
                [02] Lima orgnamePontificia Universidad Católica del Perú Perú
                [03] Lima orgnamePontificia Universidad Católica del Perú Perú
                [01] Lima orgnameUniversidad Nacional de Ingeniería Perú
                Article
                S0120-28042016000200003
                10.15446/rev.colomb.quim.v45n2.60393
                ee1ff1a7-3625-4156-807e-0f2b090701d1

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 19 May 2016
                : 15 June 2016
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 26, Pages: 7
                Product

                SciELO Colombia


                Nariz electrónica,clasificación de alcoholes,arreglo de sensores,sensores de gas,óxido de estanho

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