MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Química Nova (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000500599 |
Resumo: | The present work proposed the application of a multivariate regression model based on image data to monitor the decolorization process. Thus, a PLS regression based on the color histogram was applied to monitor the methylene blue degradation by the Fenton reaction. The results obtained by the digital imaging and UV-Vis methods were compared and the initial (Cº) and final (C) methylene blue concentrations, as well as the kinetic parameters, coefficients of determination (R2), half time degradation (t½), intercept (ρ), and slope (σ), were evaluated. From our results, the digital imaging and UV-Vis methods have equivalent potential to monitor the color removal profile, similar kinetic term, and low measurement errors. While the coefficient of determination (R(2)) of all PLS models and kinetics curves are close to 1.00, the half time degradation (t½) parameter ranged between 0.29 to 1.39 min for the UV-Vis model, and 0.80 min to 2.17 min for the digital imaging model. Furthermore, the efficiency of methylene blue removal ranged between 92.04% and 97.78% for the UV-Vis model and 91.30% to 93.72% for the digital imaging model. Then, based on statistical comparison tests, it was concluded that the digital imaging method is an alternative to monitor dye degradation processes. |
id |
SBQ-3_633298aecbae1eee7494d7e769794a79 |
---|---|
oai_identifier_str |
oai:scielo:S0100-40422020000500599 |
network_acronym_str |
SBQ-3 |
network_name_str |
Química Nova (Online) |
repository_id_str |
|
spelling |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESSProcess monitoringmultivariate analysischemometricswastewater treatmentenvironmental analysisThe present work proposed the application of a multivariate regression model based on image data to monitor the decolorization process. Thus, a PLS regression based on the color histogram was applied to monitor the methylene blue degradation by the Fenton reaction. The results obtained by the digital imaging and UV-Vis methods were compared and the initial (Cº) and final (C) methylene blue concentrations, as well as the kinetic parameters, coefficients of determination (R2), half time degradation (t½), intercept (ρ), and slope (σ), were evaluated. From our results, the digital imaging and UV-Vis methods have equivalent potential to monitor the color removal profile, similar kinetic term, and low measurement errors. While the coefficient of determination (R(2)) of all PLS models and kinetics curves are close to 1.00, the half time degradation (t½) parameter ranged between 0.29 to 1.39 min for the UV-Vis model, and 0.80 min to 2.17 min for the digital imaging model. Furthermore, the efficiency of methylene blue removal ranged between 92.04% and 97.78% for the UV-Vis model and 91.30% to 93.72% for the digital imaging model. Then, based on statistical comparison tests, it was concluded that the digital imaging method is an alternative to monitor dye degradation processes.Sociedade Brasileira de Química2020-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000500599Química Nova v.43 n.5 2020reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170531info:eu-repo/semantics/openAccessSantos,Victor Hugo Jacks Mendes dosPontin,DarlanOliveira,Gabriele SóriaSiqueira,Tiago de AbreuSeferin,Marcuseng2020-06-25T00:00:00Zoai:scielo:S0100-40422020000500599Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2020-06-25T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
title |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
spellingShingle |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS Santos,Victor Hugo Jacks Mendes dos Process monitoring multivariate analysis chemometrics wastewater treatment environmental analysis |
title_short |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
title_full |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
title_fullStr |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
title_full_unstemmed |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
title_sort |
MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS |
author |
Santos,Victor Hugo Jacks Mendes dos |
author_facet |
Santos,Victor Hugo Jacks Mendes dos Pontin,Darlan Oliveira,Gabriele Sória Siqueira,Tiago de Abreu Seferin,Marcus |
author_role |
author |
author2 |
Pontin,Darlan Oliveira,Gabriele Sória Siqueira,Tiago de Abreu Seferin,Marcus |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santos,Victor Hugo Jacks Mendes dos Pontin,Darlan Oliveira,Gabriele Sória Siqueira,Tiago de Abreu Seferin,Marcus |
dc.subject.por.fl_str_mv |
Process monitoring multivariate analysis chemometrics wastewater treatment environmental analysis |
topic |
Process monitoring multivariate analysis chemometrics wastewater treatment environmental analysis |
description |
The present work proposed the application of a multivariate regression model based on image data to monitor the decolorization process. Thus, a PLS regression based on the color histogram was applied to monitor the methylene blue degradation by the Fenton reaction. The results obtained by the digital imaging and UV-Vis methods were compared and the initial (Cº) and final (C) methylene blue concentrations, as well as the kinetic parameters, coefficients of determination (R2), half time degradation (t½), intercept (ρ), and slope (σ), were evaluated. From our results, the digital imaging and UV-Vis methods have equivalent potential to monitor the color removal profile, similar kinetic term, and low measurement errors. While the coefficient of determination (R(2)) of all PLS models and kinetics curves are close to 1.00, the half time degradation (t½) parameter ranged between 0.29 to 1.39 min for the UV-Vis model, and 0.80 min to 2.17 min for the digital imaging model. Furthermore, the efficiency of methylene blue removal ranged between 92.04% and 97.78% for the UV-Vis model and 91.30% to 93.72% for the digital imaging model. Then, based on statistical comparison tests, it was concluded that the digital imaging method is an alternative to monitor dye degradation processes. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-01 |
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=S0100-40422020000500599 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000500599 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21577/0100-4042.20170531 |
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.5 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_ |
1750318120492335104 |