Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel

Detalhes bibliográficos
Autor(a) principal: Otel, Iulian
Data de Publicação: 2021
Outros Autores: Silveira, João Miguel Lourenço, Vassilenko, Valentina, Mata, António, Carvalho, Maria Luísa, Santos, José Paulo, Pessanha, Sofia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/132975
Resumo: This work has been financially supported by Fundação para a Ciência e a Tecnolo-gia through the LIBPhys funding UID/FIS/ 04559/2021 Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental EnamelAcidic challengeDental enamelMVAPCARaman spectroscopyHuman-Computer InteractionComputer Networks and CommunicationsThis work has been financially supported by Fundação para a Ciência e a Tecnolo-gia through the LIBPhys funding UID/FIS/ 04559/2021 Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.This work explores the suitability of data treatment methodologies for Raman spectra of teeth using multivariate analysis methods. Raman spectra were measured in our laboratory and obtained from control enamel samples and samples with a protective treatment before and after an erosive attack. Three different approaches for data treatment were undertaken in order to evaluate the aptitude of distinguishing between groups: A—Principal Component Analysis of the numerical parameters derived from deconvoluted spectra; B—PCA of average Raman spectra after baseline correction; and C—PCA of average raw Raman spectra. Additionally, Hierarchical Cluster Analysis were applied to Raman spectra of enamel measured with different laser wavelengths (638 nm or 785 nm) to evaluate the most suitable choice of illumination. According to the different approaches, PC1 scores obtained between control and treatment group were A—50.5%, B—97.1% and C—83.0% before the erosive attack and A—55.2%, B—93.2% and C—87.8% after an erosive attack. The obtained results showed that performing PCA analysis of raw or baseline corrected Raman spectra of enamel was not as efficient in the evaluation of samples with different treatments. Moreover, acquiring Raman spectra with a 785 nm laser increases precision in the data treatment methodologies.LIBPhys-UNLRUNOtel, IulianSilveira, João Miguel LourençoVassilenko, ValentinaMata, AntónioCarvalho, Maria LuísaSantos, José PauloPessanha, Sofia2022-02-15T23:35:55Z2021-12-282021-12-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://hdl.handle.net/10362/132975engPURE: 36486917https://doi.org/10.3390/computers11010005info: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:RCAAP2024-03-11T05:11:37Zoai:run.unl.pt:10362/132975Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:39.002464Repositório 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 Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
title Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
spellingShingle Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
Otel, Iulian
Acidic challenge
Dental enamel
MVA
PCA
Raman spectroscopy
Human-Computer Interaction
Computer Networks and Communications
title_short Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
title_full Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
title_fullStr Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
title_full_unstemmed Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
title_sort Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel
author Otel, Iulian
author_facet Otel, Iulian
Silveira, João Miguel Lourenço
Vassilenko, Valentina
Mata, António
Carvalho, Maria Luísa
Santos, José Paulo
Pessanha, Sofia
author_role author
author2 Silveira, João Miguel Lourenço
Vassilenko, Valentina
Mata, António
Carvalho, Maria Luísa
Santos, José Paulo
Pessanha, Sofia
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv LIBPhys-UNL
RUN
dc.contributor.author.fl_str_mv Otel, Iulian
Silveira, João Miguel Lourenço
Vassilenko, Valentina
Mata, António
Carvalho, Maria Luísa
Santos, José Paulo
Pessanha, Sofia
dc.subject.por.fl_str_mv Acidic challenge
Dental enamel
MVA
PCA
Raman spectroscopy
Human-Computer Interaction
Computer Networks and Communications
topic Acidic challenge
Dental enamel
MVA
PCA
Raman spectroscopy
Human-Computer Interaction
Computer Networks and Communications
description This work has been financially supported by Fundação para a Ciência e a Tecnolo-gia through the LIBPhys funding UID/FIS/ 04559/2021 Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-28
2021-12-28T00:00:00Z
2022-02-15T23:35:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/132975
url http://hdl.handle.net/10362/132975
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 36486917
https://doi.org/10.3390/computers11010005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 15
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection 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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