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A Compact Optical Instrument with Artificial Neural Network for pH Determination
The aim of this work was the determination of pH with a sensor array-based optical portable instrument. This sensor array consists of eleven membranes with selective colour changes at different pH intervals. The method for the pH calculation is based on the implementation of artificial neural networ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386767/ https://www.ncbi.nlm.nih.gov/pubmed/22778668 http://dx.doi.org/10.3390/s120506746 |
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author | Capel-Cuevas, Sonia López-Ruiz, Nuria Martinez-Olmos, Antonio Cuéllar, Manuel P. Pegalajar, Maria del Carmen Palma, Alberto José de Orbe-Payá, Ignacio Capitán-Vallvey, Luis Fermin |
author_facet | Capel-Cuevas, Sonia López-Ruiz, Nuria Martinez-Olmos, Antonio Cuéllar, Manuel P. Pegalajar, Maria del Carmen Palma, Alberto José de Orbe-Payá, Ignacio Capitán-Vallvey, Luis Fermin |
author_sort | Capel-Cuevas, Sonia |
collection | PubMed |
description | The aim of this work was the determination of pH with a sensor array-based optical portable instrument. This sensor array consists of eleven membranes with selective colour changes at different pH intervals. The method for the pH calculation is based on the implementation of artificial neural networks that use the responses of the membranes to generate a final pH value. A multi-objective algorithm was used to select the minimum number of sensing elements required to achieve an accurate pH determination from the neural network, and also to minimise the network size. This helps to minimise instrument and array development costs and save on microprocessor energy consumption. A set of artificial neural networks that fulfils these requirements is proposed using different combinations of the membranes in the sensor array, and is evaluated in terms of accuracy and reliability. In the end, the network including the response of the eleven membranes in the sensor was selected for validation in the instrument prototype because of its high accuracy. The performance of the instrument was evaluated by measuring the pH of a large set of real samples, showing that high precision can be obtained in the full range. |
format | Online Article Text |
id | pubmed-3386767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-33867672012-07-09 A Compact Optical Instrument with Artificial Neural Network for pH Determination Capel-Cuevas, Sonia López-Ruiz, Nuria Martinez-Olmos, Antonio Cuéllar, Manuel P. Pegalajar, Maria del Carmen Palma, Alberto José de Orbe-Payá, Ignacio Capitán-Vallvey, Luis Fermin Sensors (Basel) Article The aim of this work was the determination of pH with a sensor array-based optical portable instrument. This sensor array consists of eleven membranes with selective colour changes at different pH intervals. The method for the pH calculation is based on the implementation of artificial neural networks that use the responses of the membranes to generate a final pH value. A multi-objective algorithm was used to select the minimum number of sensing elements required to achieve an accurate pH determination from the neural network, and also to minimise the network size. This helps to minimise instrument and array development costs and save on microprocessor energy consumption. A set of artificial neural networks that fulfils these requirements is proposed using different combinations of the membranes in the sensor array, and is evaluated in terms of accuracy and reliability. In the end, the network including the response of the eleven membranes in the sensor was selected for validation in the instrument prototype because of its high accuracy. The performance of the instrument was evaluated by measuring the pH of a large set of real samples, showing that high precision can be obtained in the full range. Molecular Diversity Preservation International (MDPI) 2012-05-22 /pmc/articles/PMC3386767/ /pubmed/22778668 http://dx.doi.org/10.3390/s120506746 Text en © 2012 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Capel-Cuevas, Sonia López-Ruiz, Nuria Martinez-Olmos, Antonio Cuéllar, Manuel P. Pegalajar, Maria del Carmen Palma, Alberto José de Orbe-Payá, Ignacio Capitán-Vallvey, Luis Fermin A Compact Optical Instrument with Artificial Neural Network for pH Determination |
title | A Compact Optical Instrument with Artificial Neural Network for pH Determination |
title_full | A Compact Optical Instrument with Artificial Neural Network for pH Determination |
title_fullStr | A Compact Optical Instrument with Artificial Neural Network for pH Determination |
title_full_unstemmed | A Compact Optical Instrument with Artificial Neural Network for pH Determination |
title_short | A Compact Optical Instrument with Artificial Neural Network for pH Determination |
title_sort | compact optical instrument with artificial neural network for ph determination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386767/ https://www.ncbi.nlm.nih.gov/pubmed/22778668 http://dx.doi.org/10.3390/s120506746 |
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