IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Química Nova (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000100001 |
Resumo: | Adulterants in biodiesel/diesel blends modifies its physical and chemical properties. In this work, Fourier Transform Mid-Infrared spectrometry (FT-MIR) and multivariate control charts based on Net Analyte Signal (NAS) were used to monitor the quality of Crambe methyl biodiesel in relation to the biodiesel content and the presence of adulterants. The calibration model was constructed from the decomposition of the instrumental signals of the calibration samples into three vectors: NAS, interference and residual. From these vectors, three control charts were built: (i) NAS chart to monitor the analyte of interest (Crambe methyl biodiesel); (ii) Interference chart to monitor the data matrix (all components in diesel without the analyte of interest); and (iii) Residual chart to monitor any non-systematic variations. To validate the calibration model, other groups of B10, BX and B10 samples adulterated by direct addition of soybean oil and used fry oil in the range of 4.85-30.13% (v/v) were used. All samples prepared in-quality specifics were correctly classified as “in-quality control” samples, and other samples were correctly classified as “out-of-quality control” samples. Therefore, the methodology developed proved to be efficient in monitoring the quality of this fuel and it can be used by supervisory and quality control agencies. |
id |
SBQ-3_b35bc267ebf8f952876571b5dde9191f |
---|---|
oai_identifier_str |
oai:scielo:S0100-40422020000100001 |
network_acronym_str |
SBQ-3 |
network_name_str |
Química Nova (Online) |
repository_id_str |
|
spelling |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDOadulterantsCrambe biodieselMIR spectrometrymultivariate control chartschemometricsAdulterants in biodiesel/diesel blends modifies its physical and chemical properties. In this work, Fourier Transform Mid-Infrared spectrometry (FT-MIR) and multivariate control charts based on Net Analyte Signal (NAS) were used to monitor the quality of Crambe methyl biodiesel in relation to the biodiesel content and the presence of adulterants. The calibration model was constructed from the decomposition of the instrumental signals of the calibration samples into three vectors: NAS, interference and residual. From these vectors, three control charts were built: (i) NAS chart to monitor the analyte of interest (Crambe methyl biodiesel); (ii) Interference chart to monitor the data matrix (all components in diesel without the analyte of interest); and (iii) Residual chart to monitor any non-systematic variations. To validate the calibration model, other groups of B10, BX and B10 samples adulterated by direct addition of soybean oil and used fry oil in the range of 4.85-30.13% (v/v) were used. All samples prepared in-quality specifics were correctly classified as “in-quality control” samples, and other samples were correctly classified as “out-of-quality control” samples. Therefore, the methodology developed proved to be efficient in monitoring the quality of this fuel and it can be used by supervisory and quality control agencies.Sociedade Brasileira de Química2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000100001Química Nova v.43 n.1 2020reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170461info:eu-repo/semantics/openAccessSitoe,Baltazar VascoCosta,Lucas Gustavo daSantos,Brendon Araújo dosSantos,Douglas QueirozBorges Neto,Waldomiropor2020-06-05T00:00:00Zoai:scielo:S0100-40422020000100001Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2020-06-05T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
title |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
spellingShingle |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO Sitoe,Baltazar Vasco adulterants Crambe biodiesel MIR spectrometry multivariate control charts chemometrics |
title_short |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
title_full |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
title_fullStr |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
title_full_unstemmed |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
title_sort |
IDENTIFICAÇÃO DE ADULTERANTES DE BIODIESEL METÍLICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANALÍTICO LÍQUIDO |
author |
Sitoe,Baltazar Vasco |
author_facet |
Sitoe,Baltazar Vasco Costa,Lucas Gustavo da Santos,Brendon Araújo dos Santos,Douglas Queiroz Borges Neto,Waldomiro |
author_role |
author |
author2 |
Costa,Lucas Gustavo da Santos,Brendon Araújo dos Santos,Douglas Queiroz Borges Neto,Waldomiro |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Sitoe,Baltazar Vasco Costa,Lucas Gustavo da Santos,Brendon Araújo dos Santos,Douglas Queiroz Borges Neto,Waldomiro |
dc.subject.por.fl_str_mv |
adulterants Crambe biodiesel MIR spectrometry multivariate control charts chemometrics |
topic |
adulterants Crambe biodiesel MIR spectrometry multivariate control charts chemometrics |
description |
Adulterants in biodiesel/diesel blends modifies its physical and chemical properties. In this work, Fourier Transform Mid-Infrared spectrometry (FT-MIR) and multivariate control charts based on Net Analyte Signal (NAS) were used to monitor the quality of Crambe methyl biodiesel in relation to the biodiesel content and the presence of adulterants. The calibration model was constructed from the decomposition of the instrumental signals of the calibration samples into three vectors: NAS, interference and residual. From these vectors, three control charts were built: (i) NAS chart to monitor the analyte of interest (Crambe methyl biodiesel); (ii) Interference chart to monitor the data matrix (all components in diesel without the analyte of interest); and (iii) Residual chart to monitor any non-systematic variations. To validate the calibration model, other groups of B10, BX and B10 samples adulterated by direct addition of soybean oil and used fry oil in the range of 4.85-30.13% (v/v) were used. All samples prepared in-quality specifics were correctly classified as “in-quality control” samples, and other samples were correctly classified as “out-of-quality control” samples. Therefore, the methodology developed proved to be efficient in monitoring the quality of this fuel and it can be used by supervisory and quality control agencies. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000100001 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
10.21577/0100-4042.20170461 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Química Nova v.43 n.1 2020 reponame:Química Nova (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Química Nova (Online) |
collection |
Química Nova (Online) |
repository.name.fl_str_mv |
Química Nova (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
quimicanova@sbq.org.br |
_version_ |
1750318120080244736 |