Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration

Autores
Ferreira Barbosa, Mayara; Silva Do Nascimento, Danielle; Grunhut, Marcos; Vieira Dantas, Hebertty; Fernández Band, Beatriz Susana; Ugulino de Araújo, Mario C.; Insausti, Matías
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A new simple, rapid and inexpensive analytical method was developed to determine the biodiesel percentage in biodiesel/ diesel blends through simple digital images of samples obtained by scanning with a commercial scanner. Soybean biodiesel and petroleum diesel samples were acquired from refineries currently in operation. There were prepared several mixtures within the range 1.5 to 12.0% of biodiesel in diesel oil, using the same procedure as is done in industry. The analytical signals were images recorded with a scanner. This data was decomposed with different color systems: RGB, HSV, HLS, CMYK and Grayscale. Chemometrics models based on color signals obtained from different mixtures of biodiesel/diesel were built. The quantification by using partial least squares (PLS) resulted in a RMSEP value for biodiesel of 0.9% (w/w); this load approximately 10-times smaller than the corresponding calibration range, with a correlation of 0.96 between predicted and reference values.
Fil: Ferreira Barbosa, Mayara. Universidade Federal da Paraíba; Brasil
Fil: Silva Do Nascimento, Danielle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Grunhut, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Vieira Dantas, Hebertty. Universidade Federal da Paraíba; Brasil
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Ugulino de Araújo, Mario C.. Universidade Federal da Paraíba; Brasil
Fil: Insausti, Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Materia
BIODIESEL CONTENT
CHEMOMETRICS
DIESEL/BIODIESEL BLENDS
DIGITAL IMAGES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/56517
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate CalibrationFerreira Barbosa, MayaraSilva Do Nascimento, DanielleGrunhut, MarcosVieira Dantas, HeberttyFernández Band, Beatriz SusanaUgulino de Araújo, Mario C.Insausti, MatíasBIODIESEL CONTENTCHEMOMETRICSDIESEL/BIODIESEL BLENDSDIGITAL IMAGEShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1A new simple, rapid and inexpensive analytical method was developed to determine the biodiesel percentage in biodiesel/ diesel blends through simple digital images of samples obtained by scanning with a commercial scanner. Soybean biodiesel and petroleum diesel samples were acquired from refineries currently in operation. There were prepared several mixtures within the range 1.5 to 12.0% of biodiesel in diesel oil, using the same procedure as is done in industry. The analytical signals were images recorded with a scanner. This data was decomposed with different color systems: RGB, HSV, HLS, CMYK and Grayscale. Chemometrics models based on color signals obtained from different mixtures of biodiesel/diesel were built. The quantification by using partial least squares (PLS) resulted in a RMSEP value for biodiesel of 0.9% (w/w); this load approximately 10-times smaller than the corresponding calibration range, with a correlation of 0.96 between predicted and reference values.Fil: Ferreira Barbosa, Mayara. Universidade Federal da Paraíba; BrasilFil: Silva Do Nascimento, Danielle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Grunhut, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Vieira Dantas, Hebertty. Universidade Federal da Paraíba; BrasilFil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Ugulino de Araújo, Mario C.. Universidade Federal da Paraíba; BrasilFil: Insausti, Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaJapan Society for Analytical Chemistry2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/56517Ferreira Barbosa, Mayara; Silva Do Nascimento, Danielle; Grunhut, Marcos; Vieira Dantas, Hebertty; Fernández Band, Beatriz Susana; et al.; Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration; Japan Society for Analytical Chemistry; Analytical Sciences; 33; 11; 11-2017; 1285-12890910-63401348-2246CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.jstage.jst.go.jp/article/analsci/33/11/33_1285/_articleinfo:eu-repo/semantics/altIdentifier/doi/10.2116/analsci.33.1285info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:04:56Zoai:ri.conicet.gov.ar:11336/56517instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:04:56.836CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
title Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
spellingShingle Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
Ferreira Barbosa, Mayara
BIODIESEL CONTENT
CHEMOMETRICS
DIESEL/BIODIESEL BLENDS
DIGITAL IMAGES
title_short Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
title_full Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
title_fullStr Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
title_full_unstemmed Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
title_sort Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration
dc.creator.none.fl_str_mv Ferreira Barbosa, Mayara
Silva Do Nascimento, Danielle
Grunhut, Marcos
Vieira Dantas, Hebertty
Fernández Band, Beatriz Susana
Ugulino de Araújo, Mario C.
Insausti, Matías
author Ferreira Barbosa, Mayara
author_facet Ferreira Barbosa, Mayara
Silva Do Nascimento, Danielle
Grunhut, Marcos
Vieira Dantas, Hebertty
Fernández Band, Beatriz Susana
Ugulino de Araújo, Mario C.
Insausti, Matías
author_role author
author2 Silva Do Nascimento, Danielle
Grunhut, Marcos
Vieira Dantas, Hebertty
Fernández Band, Beatriz Susana
Ugulino de Araújo, Mario C.
Insausti, Matías
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv BIODIESEL CONTENT
CHEMOMETRICS
DIESEL/BIODIESEL BLENDS
DIGITAL IMAGES
topic BIODIESEL CONTENT
CHEMOMETRICS
DIESEL/BIODIESEL BLENDS
DIGITAL IMAGES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A new simple, rapid and inexpensive analytical method was developed to determine the biodiesel percentage in biodiesel/ diesel blends through simple digital images of samples obtained by scanning with a commercial scanner. Soybean biodiesel and petroleum diesel samples were acquired from refineries currently in operation. There were prepared several mixtures within the range 1.5 to 12.0% of biodiesel in diesel oil, using the same procedure as is done in industry. The analytical signals were images recorded with a scanner. This data was decomposed with different color systems: RGB, HSV, HLS, CMYK and Grayscale. Chemometrics models based on color signals obtained from different mixtures of biodiesel/diesel were built. The quantification by using partial least squares (PLS) resulted in a RMSEP value for biodiesel of 0.9% (w/w); this load approximately 10-times smaller than the corresponding calibration range, with a correlation of 0.96 between predicted and reference values.
Fil: Ferreira Barbosa, Mayara. Universidade Federal da Paraíba; Brasil
Fil: Silva Do Nascimento, Danielle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Grunhut, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Vieira Dantas, Hebertty. Universidade Federal da Paraíba; Brasil
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Ugulino de Araújo, Mario C.. Universidade Federal da Paraíba; Brasil
Fil: Insausti, Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
description A new simple, rapid and inexpensive analytical method was developed to determine the biodiesel percentage in biodiesel/ diesel blends through simple digital images of samples obtained by scanning with a commercial scanner. Soybean biodiesel and petroleum diesel samples were acquired from refineries currently in operation. There were prepared several mixtures within the range 1.5 to 12.0% of biodiesel in diesel oil, using the same procedure as is done in industry. The analytical signals were images recorded with a scanner. This data was decomposed with different color systems: RGB, HSV, HLS, CMYK and Grayscale. Chemometrics models based on color signals obtained from different mixtures of biodiesel/diesel were built. The quantification by using partial least squares (PLS) resulted in a RMSEP value for biodiesel of 0.9% (w/w); this load approximately 10-times smaller than the corresponding calibration range, with a correlation of 0.96 between predicted and reference values.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/56517
Ferreira Barbosa, Mayara; Silva Do Nascimento, Danielle; Grunhut, Marcos; Vieira Dantas, Hebertty; Fernández Band, Beatriz Susana; et al.; Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration; Japan Society for Analytical Chemistry; Analytical Sciences; 33; 11; 11-2017; 1285-1289
0910-6340
1348-2246
CONICET Digital
CONICET
url http://hdl.handle.net/11336/56517
identifier_str_mv Ferreira Barbosa, Mayara; Silva Do Nascimento, Danielle; Grunhut, Marcos; Vieira Dantas, Hebertty; Fernández Band, Beatriz Susana; et al.; Fast Determination of Biodiesel Content in Commercial Diesel/Biodiesel Blends by Using Digital Images and Multivariate Calibration; Japan Society for Analytical Chemistry; Analytical Sciences; 33; 11; 11-2017; 1285-1289
0910-6340
1348-2246
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.jstage.jst.go.jp/article/analsci/33/11/33_1285/_article
info:eu-repo/semantics/altIdentifier/doi/10.2116/analsci.33.1285
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Japan Society for Analytical Chemistry
publisher.none.fl_str_mv Japan Society for Analytical Chemistry
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.229304

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