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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/56517
Ver los metadatos del registro completo
id |
CONICETDig_c401098fa6f91282ec94467f61c672d4 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/56517 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
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 Técnicas2025-09-29T10:32:31Zoai: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:34982025-09-29 10:32:31.293CONICET 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 |
_version_ |
1844614338949677056 |
score |
13.070432 |