- -

An electronic tongue designed to detect ammonium nitrate in aqueous solution

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

An electronic tongue designed to detect ammonium nitrate in aqueous solution

Show simple item record

Files in this item

dc.contributor.author Campos Sánchez, Inmaculada es_ES
dc.contributor.author Pascual Vidal, Lluís es_ES
dc.contributor.author Soto Camino, Juan es_ES
dc.contributor.author Gil Sánchez, Luís es_ES
dc.contributor.author Martínez Mañez, Ramón es_ES
dc.date.accessioned 2014-03-28T11:51:43Z
dc.date.available 2014-03-28T11:51:43Z
dc.date.issued 2013-10-18
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10251/36708
dc.description.abstract An electronic tongue has been developed to monitor the presence of ammonium nitrate in water. It is based on pulse voltammetry and consists of an array of eight working electrodes (Au; Pt; Rh; Ir; Cu; Co; Ag and Ni) encapsulated in a stainless steel cylinder. In a first step the electrochemical response of the different electrodes was studied in the presence of ammonium nitrate in water in order to further design the wave form used in the voltammetric tongue. The response of the electronic tongue was then tested in the presence of a set of 15 common inorganic salts; i.e.; NH4NO3; MgSO4; NH4Cl; NaCl; Na2CO3; (NH4)2SO4; MgCl2; Na3PO4; K2SO4; K2CO3; CaCl2; NaH2PO4; KCl; NaNO3; K2HPO4. A PCA plot showed a fairly good discrimination between ammonium nitrate and the remaining salts studied. In addition Fuzzy Art map analyses determined that the best classification was obtained using the Pt; Co; Cu and Ni electrodes. Moreover; PLS regression allowed the creation of a model to correlate the voltammetric response of the electrodes with concentrations of ammonium nitrate in the presence of potential interferents such as ammonium chloride and sodium nitrate. es_ES
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Ammonium nitrate es_ES
dc.subject Electronic tongue es_ES
dc.subject PCA es_ES
dc.subject Fuzzy ARTMAP es_ES
dc.subject PLS es_ES
dc.subject.classification QUIMICA ANALITICA es_ES
dc.subject.classification QUIMICA INORGANICA es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title An electronic tongue designed to detect ammonium nitrate in aqueous solution es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s131014064
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Química - Departament de Química es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Reconocimiento Molecular y Desarrollo Tecnológico - Institut de Reconeixement Molecular i Desenvolupament Tecnològic es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Campos Sánchez, I.; Pascual Vidal, L.; Soto Camino, J.; Gil Sánchez, L.; Martínez Mañez, R. (2013). An electronic tongue designed to detect ammonium nitrate in aqueous solution. Sensors. 13(10):14064-14078. doi:10.3390/s131014064 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.3390/s131014064 es_ES
dc.description.upvformatpinicio 14064 es_ES
dc.description.upvformatpfin 14078 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 10 es_ES
dc.relation.senia 259357
dc.identifier.pmid 24145916 en_EN
dc.identifier.pmcid PMC3859109 en_EN
dc.description.references Rocha, F. R. ., & Reis, B. F. (2000). A flow system exploiting multicommutation for speciation of inorganic nitrogen in waters. Analytica Chimica Acta, 409(1-2), 227-235. doi:10.1016/s0003-2670(99)00883-1 es_ES
dc.description.references Xu, Q., Zhang, W., Xu, C., & Jin, L. (2000). Continuous and simultaneous determination of anions and cations in rainwater by ion chromatography. The Analyst, 125(6), 1065-1069. doi:10.1039/b000872i es_ES
dc.description.references Mou, S., Wang, H., & Sun, Q. (1993). Simultaneous determination of the three main inorganic forms of nitrogen by ion chromatography. Journal of Chromatography A, 640(1-2), 161-165. doi:10.1016/0021-9673(93)80178-b es_ES
dc.description.references Isildak, I. (1999). Simultaneous detection of monovalent anions and cations using all solid-state contact PVC membrane anion and cation-selective electrodes as detectors in single column ion chromatography. Talanta, 48(4), 967-978. doi:10.1016/s0039-9140(98)00304-x es_ES
dc.description.references Winquist, F., Wide, P., & Lundström, I. (1997). An electronic tongue based on voltammetry. Analytica Chimica Acta, 357(1-2), 21-31. doi:10.1016/s0003-2670(97)00498-4 es_ES
dc.description.references Salinas, Y., Climent, E., Martínez-Máñez, R., Sancenón, F., Marcos, M. D., Soto, J., … Pérez de Diego, A. (2011). Highly selective and sensitive chromo-fluorogenic detection of the Tetryl explosive using functional silica nanoparticles. Chemical Communications, 47(43), 11885. doi:10.1039/c1cc14877j es_ES
dc.description.references Salinas, Y., Martínez-Máñez, R., Marcos, M. D., Sancenón, F., Costero, A. M., Parra, M., & Gil, S. (2012). Optical chemosensors and reagents to detect explosives. Chem. Soc. Rev., 41(3), 1261-1296. doi:10.1039/c1cs15173h es_ES
dc.description.references Climent, E., Martí, A., Royo, S., Martínez-Máñez, R., Marcos, M. D., Sancenón, F., … Parra, M. (2010). Chromogenic Detection of Nerve Agent Mimics by Mass Transport Control at the Surface of Bifunctionalized Silica Nanoparticles. Angewandte Chemie International Edition, 49(34), 5945-5948. doi:10.1002/anie.201001088 es_ES
dc.description.references Campos, I., Masot, R., Alcañiz, M., Gil, L., Soto, J., Vivancos, J. L., … Martínez-Mañez., R. (2010). Accurate concentration determination of anions nitrate, nitrite and chloride in minced meat using a voltammetric electronic tongue. Sensors and Actuators B: Chemical, 149(1), 71-78. doi:10.1016/j.snb.2010.06.028 es_ES
dc.description.references Campos, I., Alcañiz, M., Aguado, D., Barat, R., Ferrer, J., Gil, L., … Vivancos, J.-L. (2012). A voltammetric electronic tongue as tool for water quality monitoring in wastewater treatment plants. Water Research, 46(8), 2605-2614. doi:10.1016/j.watres.2012.02.029 es_ES
dc.description.references Martı́nez-Máñez, R., Soto, J., Garcia-Breijo, E., Gil, L., Ibáñez, J., & Llobet, E. (2005). An «electronic tongue» design for the qualitative analysis of natural waters. Sensors and Actuators B: Chemical, 104(2), 302-307. doi:10.1016/j.snb.2004.05.022 es_ES
dc.description.references Toko, K. (2000). Taste sensor. Sensors and Actuators B: Chemical, 64(1-3), 205-215. doi:10.1016/s0925-4005(99)00508-0 es_ES
dc.description.references Scampicchio, M., Benedetti, S., Brunetti, B., & Mannino, S. (2006). Amperometric Electronic Tongue for the Evaluation of the Tea Astringency. Electroanalysis, 18(17), 1643-1648. doi:10.1002/elan.200603586 es_ES
dc.description.references Ivarsson, P., Holmin, S., Höjer, N.-E., Krantz-Rülcker, C., & Winquist, F. (2001). Discrimination of tea by means of a voltammetric electronic tongue and different applied waveforms. Sensors and Actuators B: Chemical, 76(1-3), 449-454. doi:10.1016/s0925-4005(01)00583-4 es_ES
dc.description.references Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., & Rosen, D. B. (1992). Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks, 3(5), 698-713. doi:10.1109/72.159059 es_ES
dc.description.references Llobet, E., Hines, E. L., Gardner, J. W., Bartlett, P. N., & Mottram, T. T. (1999). Fuzzy ARTMAP based electronic nose data analysis. Sensors and Actuators B: Chemical, 61(1-3), 183-190. doi:10.1016/s0925-4005(99)00288-9 es_ES
dc.description.references Geladi, P., & Kowalski, B. R. (1986). Partial least-squares regression: a tutorial. Analytica Chimica Acta, 185, 1-17. doi:10.1016/0003-2670(86)80028-9 es_ES
dc.description.references A fuzzy ARTMAP- and PLS-based MS e-nose for the qualitative and quantitative assessment of rancidity in crisps. (2005). Sensors and Actuators B: Chemical, 106(2), 677-686. doi:10.1016/j.snb.2004.09.015 es_ES


This item appears in the following Collection(s)

Show simple item record