Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
DOI: | 10.1590/S0103-50532008000800019 |
Texto Completo: | http://dx.doi.org/10.1590/S0103-50532008000800019 http://hdl.handle.net/11449/26118 |
Resumo: | Reliable spectral analysis is only achieved if the spectrum is thoroughly investigated in regard to all hidden and overlapped peaks. This paper describes the steps undertaken to find and separate such peaks in the range of 3000 to 4000 cm(-1) in the case of three different infrared absorption spectra of the glass surface of hydrolyzed silica optical fibers. Peak finding was done by the analysis of the second and fourth derivatives of the digital data, coupled with the available knowledge of infrared spectroscopy of silica-water interaction in the investigated range. Peak separation was accomplished by curve fitting with four different models. The model with the best fit was described by a sum of pure Gaussian peaks. Shoulder limit and detection limit maps were used to validate the revealed spectral features. |
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oai:repositorio.unesp.br:11449/26118 |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized SilicaFTIRsilicawaterpeak separationcurve fittingReliable spectral analysis is only achieved if the spectrum is thoroughly investigated in regard to all hidden and overlapped peaks. This paper describes the steps undertaken to find and separate such peaks in the range of 3000 to 4000 cm(-1) in the case of three different infrared absorption spectra of the glass surface of hydrolyzed silica optical fibers. Peak finding was done by the analysis of the second and fourth derivatives of the digital data, coupled with the available knowledge of infrared spectroscopy of silica-water interaction in the investigated range. Peak separation was accomplished by curve fitting with four different models. The model with the best fit was described by a sum of pure Gaussian peaks. Shoulder limit and detection limit maps were used to validate the revealed spectral features.Fundação CPqD, BR-13086902 Campinas, SP, BrazilUniv Estadual Paulista, Inst Quim, BR-14800900 Araraquara, SP, BrazilUniv Estadual Paulista, Inst Quim, BR-14800900 Araraquara, SP, BrazilSoc Brasileira QuimicaFundação CPqDUniversidade Estadual Paulista (Unesp)de Aragao, Bernardo J. G.Messaddeq, Younes [UNESP]2014-05-20T14:20:21Z2014-05-20T14:20:21Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1582-1594http://dx.doi.org/10.1590/S0103-50532008000800019Journal of The Brazilian Chemical Society. São Paulo: Soc Brasileira Quimica, v. 19, n. 8, p. 1582-1594, 2008.0103-5053http://hdl.handle.net/11449/2611810.1590/S0103-50532008000800019S0103-50532008000800019WOS:000261658800019S0103-50532008000800019.pdf2998503841917815Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of the Brazilian Chemical Society1.4440,357info:eu-repo/semantics/openAccess2021-10-23T17:16:43Zoai:repositorio.unesp.br:11449/26118Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:19:42.923495Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
title |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
spellingShingle |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica de Aragao, Bernardo J. G. FTIR silica water peak separation curve fitting de Aragao, Bernardo J. G. FTIR silica water peak separation curve fitting |
title_short |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
title_full |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
title_fullStr |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
title_full_unstemmed |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
title_sort |
Peak Separation by Derivative Spectroscopy Applied to FTIR Analysis of Hydrolized Silica |
author |
de Aragao, Bernardo J. G. |
author_facet |
de Aragao, Bernardo J. G. de Aragao, Bernardo J. G. Messaddeq, Younes [UNESP] Messaddeq, Younes [UNESP] |
author_role |
author |
author2 |
Messaddeq, Younes [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Fundação CPqD Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
de Aragao, Bernardo J. G. Messaddeq, Younes [UNESP] |
dc.subject.por.fl_str_mv |
FTIR silica water peak separation curve fitting |
topic |
FTIR silica water peak separation curve fitting |
description |
Reliable spectral analysis is only achieved if the spectrum is thoroughly investigated in regard to all hidden and overlapped peaks. This paper describes the steps undertaken to find and separate such peaks in the range of 3000 to 4000 cm(-1) in the case of three different infrared absorption spectra of the glass surface of hydrolyzed silica optical fibers. Peak finding was done by the analysis of the second and fourth derivatives of the digital data, coupled with the available knowledge of infrared spectroscopy of silica-water interaction in the investigated range. Peak separation was accomplished by curve fitting with four different models. The model with the best fit was described by a sum of pure Gaussian peaks. Shoulder limit and detection limit maps were used to validate the revealed spectral features. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-01-01 2014-05-20T14:20:21Z 2014-05-20T14:20:21Z |
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://dx.doi.org/10.1590/S0103-50532008000800019 Journal of The Brazilian Chemical Society. São Paulo: Soc Brasileira Quimica, v. 19, n. 8, p. 1582-1594, 2008. 0103-5053 http://hdl.handle.net/11449/26118 10.1590/S0103-50532008000800019 S0103-50532008000800019 WOS:000261658800019 S0103-50532008000800019.pdf 2998503841917815 |
url |
http://dx.doi.org/10.1590/S0103-50532008000800019 http://hdl.handle.net/11449/26118 |
identifier_str_mv |
Journal of The Brazilian Chemical Society. São Paulo: Soc Brasileira Quimica, v. 19, n. 8, p. 1582-1594, 2008. 0103-5053 10.1590/S0103-50532008000800019 S0103-50532008000800019 WOS:000261658800019 S0103-50532008000800019.pdf 2998503841917815 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of the Brazilian Chemical Society 1.444 0,357 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1582-1594 |
dc.publisher.none.fl_str_mv |
Soc Brasileira Quimica |
publisher.none.fl_str_mv |
Soc Brasileira Quimica |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1822182552948965377 |
dc.identifier.doi.none.fl_str_mv |
10.1590/S0103-50532008000800019 |