Cargando…
Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue
The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in spring water is proposed here. The electronic voltammetric tongue consisted of a set of four noble electrodes (iridium, rhodium, platinum, and gold) housed inside a stainless steel cylinder. These nobl...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795646/ https://www.ncbi.nlm.nih.gov/pubmed/29295592 http://dx.doi.org/10.3390/s18010040 |
_version_ | 1783297335360487424 |
---|---|
author | Carbó, Noèlia López Carrero, Javier Garcia-Castillo, F. Javier Tormos, Isabel Olivas, Estela Folch, Elisa Alcañiz Fillol, Miguel Soto, Juan Martínez-Máñez, Ramón Martínez-Bisbal, M. Carmen |
author_facet | Carbó, Noèlia López Carrero, Javier Garcia-Castillo, F. Javier Tormos, Isabel Olivas, Estela Folch, Elisa Alcañiz Fillol, Miguel Soto, Juan Martínez-Máñez, Ramón Martínez-Bisbal, M. Carmen |
author_sort | Carbó, Noèlia |
collection | PubMed |
description | The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in spring water is proposed here. The electronic voltammetric tongue consisted of a set of four noble electrodes (iridium, rhodium, platinum, and gold) housed inside a stainless steel cylinder. These noble metals have a high durability and are not demanding for maintenance, features required for the development of future automated equipment. A pulse voltammetry study was conducted in 83 spring water samples to determine concentrations of nitrate (range: 6.9–115 mg/L), sulfate (32–472 mg/L), fluoride (0.08–0.26 mg/L), chloride (17–190 mg/L), and sodium (11–94 mg/L) as well as pH (7.3–7.8). These parameters were also determined by routine analytical methods in spring water samples. A partial least squares (PLS) analysis was run to obtain a model to predict these parameter. Orthogonal signal correction (OSC) was applied in the preprocessing step. Calibration (67%) and validation (33%) sets were selected randomly. The electronic tongue showed good predictive power to determine the concentrations of nitrate, sulfate, chloride, and sodium as well as pH and displayed a lower R(2) and slope in the validation set for fluoride. Nitrate and fluoride concentrations were estimated with errors lower than 15%, whereas chloride, sulfate, and sodium concentrations as well as pH were estimated with errors below 10%. |
format | Online Article Text |
id | pubmed-5795646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57956462018-02-13 Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue Carbó, Noèlia López Carrero, Javier Garcia-Castillo, F. Javier Tormos, Isabel Olivas, Estela Folch, Elisa Alcañiz Fillol, Miguel Soto, Juan Martínez-Máñez, Ramón Martínez-Bisbal, M. Carmen Sensors (Basel) Article The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in spring water is proposed here. The electronic voltammetric tongue consisted of a set of four noble electrodes (iridium, rhodium, platinum, and gold) housed inside a stainless steel cylinder. These noble metals have a high durability and are not demanding for maintenance, features required for the development of future automated equipment. A pulse voltammetry study was conducted in 83 spring water samples to determine concentrations of nitrate (range: 6.9–115 mg/L), sulfate (32–472 mg/L), fluoride (0.08–0.26 mg/L), chloride (17–190 mg/L), and sodium (11–94 mg/L) as well as pH (7.3–7.8). These parameters were also determined by routine analytical methods in spring water samples. A partial least squares (PLS) analysis was run to obtain a model to predict these parameter. Orthogonal signal correction (OSC) was applied in the preprocessing step. Calibration (67%) and validation (33%) sets were selected randomly. The electronic tongue showed good predictive power to determine the concentrations of nitrate, sulfate, chloride, and sodium as well as pH and displayed a lower R(2) and slope in the validation set for fluoride. Nitrate and fluoride concentrations were estimated with errors lower than 15%, whereas chloride, sulfate, and sodium concentrations as well as pH were estimated with errors below 10%. MDPI 2017-12-25 /pmc/articles/PMC5795646/ /pubmed/29295592 http://dx.doi.org/10.3390/s18010040 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Carbó, Noèlia López Carrero, Javier Garcia-Castillo, F. Javier Tormos, Isabel Olivas, Estela Folch, Elisa Alcañiz Fillol, Miguel Soto, Juan Martínez-Máñez, Ramón Martínez-Bisbal, M. Carmen Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue |
title | Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue |
title_full | Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue |
title_fullStr | Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue |
title_full_unstemmed | Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue |
title_short | Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue |
title_sort | quantitative determination of spring water quality parameters via electronic tongue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795646/ https://www.ncbi.nlm.nih.gov/pubmed/29295592 http://dx.doi.org/10.3390/s18010040 |
work_keys_str_mv | AT carbonoelia quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT lopezcarrerojavier quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT garciacastillofjavier quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT tormosisabel quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT olivasestela quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT folchelisa quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT alcanizfillolmiguel quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT sotojuan quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT martinezmanezramon quantitativedeterminationofspringwaterqualityparametersviaelectronictongue AT martinezbisbalmcarmen quantitativedeterminationofspringwaterqualityparametersviaelectronictongue |