Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/86846 |
Resumo: | Partial least squares (PLS) calibration models were compared for the determination of biodiesel and vegetable oil in different blends using infrared spectra data (FTIR/ATR). Eighty binary and ternary blends containing biodiesel, vegetable oil and diesel were made, 48 were employed to compose the calibration set and 32 for prediction set. Initially the spectral signals of samples containing biodiesel and vegetable oil between 0 and 8%(v/v) were compressed using Discrete Wavelet Transform. The best models with compressed or uncompressed signals were compared, using the interval partial least squares algorithm (iPLS), also identifying which region of the infrared showed better correlation. The results using the compressed data showed similar errors in the determination of the vegetable oil and of the biodiesel in blends. The combination of the regression algorithm iPLS applied to data obtained by FTIR/ATR has shown considerable promise in the development of a simple, rapid and non-destructive method for the determination of adulteration with vegetable oil in biodiesel or biodiesel/diesel blends. |
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Werlang, MárciaPanta Pazos, RubenMarder, LucianoSchneider, Rosana de Cassia de SouzaFachini, DanielaGerbase, Annelise EngelFerrão, Marco Flôres2014-01-24T01:53:57Z20131984-6428http://hdl.handle.net/10183/86846000910167Partial least squares (PLS) calibration models were compared for the determination of biodiesel and vegetable oil in different blends using infrared spectra data (FTIR/ATR). Eighty binary and ternary blends containing biodiesel, vegetable oil and diesel were made, 48 were employed to compose the calibration set and 32 for prediction set. Initially the spectral signals of samples containing biodiesel and vegetable oil between 0 and 8%(v/v) were compressed using Discrete Wavelet Transform. The best models with compressed or uncompressed signals were compared, using the interval partial least squares algorithm (iPLS), also identifying which region of the infrared showed better correlation. The results using the compressed data showed similar errors in the determination of the vegetable oil and of the biodiesel in blends. The combination of the regression algorithm iPLS applied to data obtained by FTIR/ATR has shown considerable promise in the development of a simple, rapid and non-destructive method for the determination of adulteration with vegetable oil in biodiesel or biodiesel/diesel blends.application/pdfporOrbital: The Electronic Journal of Chemistry. Campo Grande, MS. Vol. 5, no. 4 (Oct./Dec. 2013), p. 242-248BlendasBiodieselEspectroscopia no infravermelhoWaveletsInfraredMultivariate calibrationBiodieselAdulterationAplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/dieselinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000910167.pdf000910167.pdfTexto completoapplication/pdf240646http://www.lume.ufrgs.br/bitstream/10183/86846/1/000910167.pdfabdcf9002e44609f57e143382c1b9803MD51TEXT000910167.pdf.txt000910167.pdf.txtExtracted Texttext/plain24187http://www.lume.ufrgs.br/bitstream/10183/86846/2/000910167.pdf.txtb7d67cbc31446e237bbfd989652a8bcfMD52THUMBNAIL000910167.pdf.jpg000910167.pdf.jpgGenerated Thumbnailimage/jpeg2246http://www.lume.ufrgs.br/bitstream/10183/86846/3/000910167.pdf.jpg166f9b4d8751c3526495ce321878a24bMD5310183/868462018-10-22 07:49:31.035oai:www.lume.ufrgs.br:10183/86846Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-22T10:49:31Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
title |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
spellingShingle |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel Werlang, Márcia Blendas Biodiesel Espectroscopia no infravermelho Wavelets Infrared Multivariate calibration Biodiesel Adulteration |
title_short |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
title_full |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
title_fullStr |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
title_full_unstemmed |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
title_sort |
Aplicação das transformadas Wavelets em dados de espectroscopia no infravermelho para a determinação de biodiesel e óleo vegetal em blendas biodiesel/óleo vegetal/diesel |
author |
Werlang, Márcia |
author_facet |
Werlang, Márcia Panta Pazos, Ruben Marder, Luciano Schneider, Rosana de Cassia de Souza Fachini, Daniela Gerbase, Annelise Engel Ferrão, Marco Flôres |
author_role |
author |
author2 |
Panta Pazos, Ruben Marder, Luciano Schneider, Rosana de Cassia de Souza Fachini, Daniela Gerbase, Annelise Engel Ferrão, Marco Flôres |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Werlang, Márcia Panta Pazos, Ruben Marder, Luciano Schneider, Rosana de Cassia de Souza Fachini, Daniela Gerbase, Annelise Engel Ferrão, Marco Flôres |
dc.subject.por.fl_str_mv |
Blendas Biodiesel Espectroscopia no infravermelho Wavelets |
topic |
Blendas Biodiesel Espectroscopia no infravermelho Wavelets Infrared Multivariate calibration Biodiesel Adulteration |
dc.subject.eng.fl_str_mv |
Infrared Multivariate calibration Biodiesel Adulteration |
description |
Partial least squares (PLS) calibration models were compared for the determination of biodiesel and vegetable oil in different blends using infrared spectra data (FTIR/ATR). Eighty binary and ternary blends containing biodiesel, vegetable oil and diesel were made, 48 were employed to compose the calibration set and 32 for prediction set. Initially the spectral signals of samples containing biodiesel and vegetable oil between 0 and 8%(v/v) were compressed using Discrete Wavelet Transform. The best models with compressed or uncompressed signals were compared, using the interval partial least squares algorithm (iPLS), also identifying which region of the infrared showed better correlation. The results using the compressed data showed similar errors in the determination of the vegetable oil and of the biodiesel in blends. The combination of the regression algorithm iPLS applied to data obtained by FTIR/ATR has shown considerable promise in the development of a simple, rapid and non-destructive method for the determination of adulteration with vegetable oil in biodiesel or biodiesel/diesel blends. |
publishDate |
2013 |
dc.date.issued.fl_str_mv |
2013 |
dc.date.accessioned.fl_str_mv |
2014-01-24T01:53:57Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/86846 |
dc.identifier.issn.pt_BR.fl_str_mv |
1984-6428 |
dc.identifier.nrb.pt_BR.fl_str_mv |
000910167 |
identifier_str_mv |
1984-6428 000910167 |
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http://hdl.handle.net/10183/86846 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Orbital: The Electronic Journal of Chemistry. Campo Grande, MS. Vol. 5, no. 4 (Oct./Dec. 2013), p. 242-248 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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