Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/155440 |
Resumo: | The development of sensors that detect molecules as Emerging Pollutants (EPs), at low con-centration in aqueous complex solutions, is important to improve the quality of aquifers and water bodies. In this work such a sensor was developed to detect 10-16M of estrogen on tap water. To achieve such a sensor, the electronic tongue (e-tongue) system was used. An e-tongue consists of an array of sensorial devices connected to a microprocessor capable of predicting concentrations based on the readings. Each sensor is prepared with indigitated elec-trodes with or without thin films deposited on them. Three thin films are studied in this work the PEI/GO, PEI/mwcnt and PAH/PAZO, each with five bilayers. To collect data from each of the sensorial devices, an impedance spectroscopy was used on different concentrations of estro-gen. To analyze the data collected from the sensorial devices, a PCA is used to create a three-dimensional plane using PC1, PC2, and −log10(). Then a SVM is used to find the optimal values for the hyperplane with the calibration. For the collected data with the three sensorial devices, the sensibilities for PC1 and PC2 were 0.418 and −0.186 respectively, with an intercept of −14.5. Managing the raw data from the sensors is a "big data" problem, and the ETDA tool was developed to facilitate the extraction of relevant features as well as creating and calibrating the PCA for the sensors array. ETDA stands for Electronic Tongue Data Analytics, and as the name suggests, it is meant to assist with the development of any e-tongue system, valuing them. As it is, ETDA can, for each experiment, plot the impedance spectroscopy from Solartron 1260, as well as the relevant features over the concentrations for the frequencies with the highest variations. |
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Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysisDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaThe development of sensors that detect molecules as Emerging Pollutants (EPs), at low con-centration in aqueous complex solutions, is important to improve the quality of aquifers and water bodies. In this work such a sensor was developed to detect 10-16M of estrogen on tap water. To achieve such a sensor, the electronic tongue (e-tongue) system was used. An e-tongue consists of an array of sensorial devices connected to a microprocessor capable of predicting concentrations based on the readings. Each sensor is prepared with indigitated elec-trodes with or without thin films deposited on them. Three thin films are studied in this work the PEI/GO, PEI/mwcnt and PAH/PAZO, each with five bilayers. To collect data from each of the sensorial devices, an impedance spectroscopy was used on different concentrations of estro-gen. To analyze the data collected from the sensorial devices, a PCA is used to create a three-dimensional plane using PC1, PC2, and −log10(). Then a SVM is used to find the optimal values for the hyperplane with the calibration. For the collected data with the three sensorial devices, the sensibilities for PC1 and PC2 were 0.418 and −0.186 respectively, with an intercept of −14.5. Managing the raw data from the sensors is a "big data" problem, and the ETDA tool was developed to facilitate the extraction of relevant features as well as creating and calibrating the PCA for the sensors array. ETDA stands for Electronic Tongue Data Analytics, and as the name suggests, it is meant to assist with the development of any e-tongue system, valuing them. As it is, ETDA can, for each experiment, plot the impedance spectroscopy from Solartron 1260, as well as the relevant features over the concentrations for the frequencies with the highest variations.O desenvolvimento de sensores que detetam moléculas Poluentes Emergentes (EPs1), em baixa concentração em soluções aquosas complexas, é importante para melhorar a qualidade de aquíferos e corpos de água. Neste trabalho, um sensor foi desenvolvido para detetar concen-trações de 10−16 M de estrogênio na água da torneira. Para criar esse sensor, o sistema de língua eletrônica (e-tongue) foi usado. Uma língua eletrônica consiste numa matriz de sensores ligados a um microprocessador capaz de prever concentrações com base nas leituras do con-junto de sensores. Cada sensor é preparado usando elétrodos indigitados com ou sem filmes finos depositados sobre eles. Três filmes finos são estudados neste trabalho o PEI/GO, PEI/mwcnt e PAH/PAZO, cada um com cinco bicamadas. Para coletar os dados de cada um dos dispositivos sensoriais, uma espectroscopia de impedância foi usada em diferentes concentra-ções de estrogênio. Para analisar os dados coletados dos dispositivos sensoriais, um PCA2 é usado para criar um plano tridimensional usando PC1, PC2 e −10(çã). De se-guida, uma SVM3 é usada para encontrar os valores ideais para o hiper plano com a calibração. Para os dados coletados com os três dispositivos sensoriais, as sensibilidades para PC1 e PC2 foram 0,418 e -0,186 respetivamente, com interceção de -14,5. Gerir os dados dos sensores é um problema de "big data", e a ferramenta ETDA (Electronic Tongue Data Analytics) foi desen-volvida para facilitar a extração da informação relevantes, assim como criar e calibrar o PCA para a matriz de sensores. ETDA destina-se a auxiliar no desenvolvimento de qualquer língua eletrónica, valorizando este sistema. Assim, o ETDA pode, para cada experiência, mostrar os resultados da espectroscopia de impedância do Solartron 1260, assim como as características relevantes sobre as concentrações para a frequências com maiores variações.Raposo, Maria de FátimaFino, Maria HelenaRUNReis, Tiago Ferreira Félix da Costa2023-07-18T13:27:13Z2023-062023-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/155440enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:38:01Zoai:run.unl.pt:10362/155440Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:04.341254Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
title |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
spellingShingle |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis Reis, Tiago Ferreira Félix da Costa Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
title_full |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
title_fullStr |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
title_full_unstemmed |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
title_sort |
Development of a system for estrogen detection in complex matrices. Establishing an e-tongue for estrogen detection and developing a tool for data analysis |
author |
Reis, Tiago Ferreira Félix da Costa |
author_facet |
Reis, Tiago Ferreira Félix da Costa |
author_role |
author |
dc.contributor.none.fl_str_mv |
Raposo, Maria de Fátima Fino, Maria Helena RUN |
dc.contributor.author.fl_str_mv |
Reis, Tiago Ferreira Félix da Costa |
dc.subject.por.fl_str_mv |
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
The development of sensors that detect molecules as Emerging Pollutants (EPs), at low con-centration in aqueous complex solutions, is important to improve the quality of aquifers and water bodies. In this work such a sensor was developed to detect 10-16M of estrogen on tap water. To achieve such a sensor, the electronic tongue (e-tongue) system was used. An e-tongue consists of an array of sensorial devices connected to a microprocessor capable of predicting concentrations based on the readings. Each sensor is prepared with indigitated elec-trodes with or without thin films deposited on them. Three thin films are studied in this work the PEI/GO, PEI/mwcnt and PAH/PAZO, each with five bilayers. To collect data from each of the sensorial devices, an impedance spectroscopy was used on different concentrations of estro-gen. To analyze the data collected from the sensorial devices, a PCA is used to create a three-dimensional plane using PC1, PC2, and −log10(). Then a SVM is used to find the optimal values for the hyperplane with the calibration. For the collected data with the three sensorial devices, the sensibilities for PC1 and PC2 were 0.418 and −0.186 respectively, with an intercept of −14.5. Managing the raw data from the sensors is a "big data" problem, and the ETDA tool was developed to facilitate the extraction of relevant features as well as creating and calibrating the PCA for the sensors array. ETDA stands for Electronic Tongue Data Analytics, and as the name suggests, it is meant to assist with the development of any e-tongue system, valuing them. As it is, ETDA can, for each experiment, plot the impedance spectroscopy from Solartron 1260, as well as the relevant features over the concentrations for the frequencies with the highest variations. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-18T13:27:13Z 2023-06 2023-06-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/155440 |
url |
http://hdl.handle.net/10362/155440 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138146701541376 |