Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://repositorio.ufba.br/ri/handle/ri/27623 |
Resumo: | This work presents the optimization of a sample preparation procedure using microwave-assisted digestion for the determination of nickel and vanadium in crude oil employing inductively coupled plasma optical emission spectrometry (ICP OES). The optimization step was performed utilizing a two-level full factorial design involving the following factors: concentrated nitric acid and hydrogen peroxide volumes, and microwave-assisted digestion temperature. Nickel and vanadium concentrations were used as responses. Additionally, a multiple response based on the normalization of the concentrations by the highest values was built to establish a compromise condition between the two analytes. A Doehlert matrix optimized the instrumental conditions of the ICP OE spectrometer. In this design, the plasma robustness was used as chemometric response. The experiments were performed using a digested oil sample solution doped with magnesium(II) ions, as well as a standard magnesium solution. The optimized method allows for the determination of nickel and vanadium with quantification limits of 0.79 and 0.20 μg g−1 , respectively, for a digested sample mass of 0.1 g. The precision (expressed as relative standard deviations) was determined using five replicates of two oil samples and the results obtained were 1.63% and 3.67% for nickel and 0.42% and 4.64% for vanadium. Bismuth and yttrium were also tested as internal standards, and the results demonstrate that yttrium allows for a better precision for the method. The accuracy was confirmed by the analysis of the certified reference material trace element in fuel oil (CRM NIST 1634c). The proposed method was applied for the determination of nickel and vanadium in five crude oil samples from Brazilian Basins. The metal concentrations found varied from 7.30 to 33.21 μg g−1 for nickel and from 0.63 to 19.42 μg g−1 for vanadium. |
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Anjos, ShirleiAlves, JefersonSoares, SarahAraujo, RennanOliveira, OliviaQueiroz, Antonio FernandoFerreira, Sergio Luis CostaAnjos, ShirleiAlves, JefersonSoares, SarahAraujo, RennanOliveira, OliviaQueiroz, Antonio FernandoFerreira, Sergio Luis Costa2018-10-04T15:09:57Z2018-10-04T15:09:57Z2018ANJOS, Shirlei L. dos et al. Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. Talanta, London, v. 178, p. 842-846, fev. 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0039914017310494>. Acesso em: 04 out. 2018.0039-9140http://repositorio.ufba.br/ri/handle/ri/27623v. 178, p. 842-846, 2018This work presents the optimization of a sample preparation procedure using microwave-assisted digestion for the determination of nickel and vanadium in crude oil employing inductively coupled plasma optical emission spectrometry (ICP OES). The optimization step was performed utilizing a two-level full factorial design involving the following factors: concentrated nitric acid and hydrogen peroxide volumes, and microwave-assisted digestion temperature. Nickel and vanadium concentrations were used as responses. Additionally, a multiple response based on the normalization of the concentrations by the highest values was built to establish a compromise condition between the two analytes. A Doehlert matrix optimized the instrumental conditions of the ICP OE spectrometer. In this design, the plasma robustness was used as chemometric response. The experiments were performed using a digested oil sample solution doped with magnesium(II) ions, as well as a standard magnesium solution. The optimized method allows for the determination of nickel and vanadium with quantification limits of 0.79 and 0.20 μg g−1 , respectively, for a digested sample mass of 0.1 g. The precision (expressed as relative standard deviations) was determined using five replicates of two oil samples and the results obtained were 1.63% and 3.67% for nickel and 0.42% and 4.64% for vanadium. Bismuth and yttrium were also tested as internal standards, and the results demonstrate that yttrium allows for a better precision for the method. The accuracy was confirmed by the analysis of the certified reference material trace element in fuel oil (CRM NIST 1634c). The proposed method was applied for the determination of nickel and vanadium in five crude oil samples from Brazilian Basins. The metal concentrations found varied from 7.30 to 33.21 μg g−1 for nickel and from 0.63 to 19.42 μg g−1 for vanadium.Submitted by Gisele Mara Hadlich (gisele@ufba.br) on 2018-10-02T18:09:12Z No. of bitstreams: 1 1-s2.0-S0039914017310494-main.pdf: 301332 bytes, checksum: c47f41a8de22952ea1b705b044d9b6db (MD5)Approved for entry into archive by Jessica Alves (alves.jessica@ufba.br) on 2018-10-04T15:09:57Z (GMT) No. of bitstreams: 1 1-s2.0-S0039914017310494-main.pdf: 301332 bytes, checksum: c47f41a8de22952ea1b705b044d9b6db (MD5)Made available in DSpace on 2018-10-04T15:09:57Z (GMT). No. of bitstreams: 1 1-s2.0-S0039914017310494-main.pdf: 301332 bytes, checksum: c47f41a8de22952ea1b705b044d9b6db (MD5) Previous issue date: 2018TalantaElsevierBrasilhttps://www.sciencedirect.com/science/article/pii/S0039914017310494?via%3Dihubreponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAnickelvanadiumcrude oilexperimental multivariateICP OESmicrowave assisted digestionMultivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessporORIGINAL1-s2.0-S0039914017310494-main.pdf1-s2.0-S0039914017310494-main.pdfapplication/pdf301332https://repositorio.ufba.br/bitstream/ri/27623/1/1-s2.0-S0039914017310494-main.pdfc47f41a8de22952ea1b705b044d9b6dbMD51LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/27623/2/license.txtff6eaa8b858ea317fded99f125f5fcd0MD52TEXT1-s2.0-S0039914017310494-main.pdf.txt1-s2.0-S0039914017310494-main.pdf.txtExtracted texttext/plain30949https://repositorio.ufba.br/bitstream/ri/27623/3/1-s2.0-S0039914017310494-main.pdf.txt0c999a38d3064e9db329ee404f65db46MD53ri/276232022-08-08 13:17:30.547oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-08T16:17:30Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
title |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
spellingShingle |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. Anjos, Shirlei nickel vanadium crude oil experimental multivariate ICP OES microwave assisted digestion |
title_short |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
title_full |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
title_fullStr |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
title_full_unstemmed |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
title_sort |
Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. |
author |
Anjos, Shirlei |
author_facet |
Anjos, Shirlei Alves, Jeferson Soares, Sarah Araujo, Rennan Oliveira, Olivia Queiroz, Antonio Fernando Ferreira, Sergio Luis Costa |
author_role |
author |
author2 |
Alves, Jeferson Soares, Sarah Araujo, Rennan Oliveira, Olivia Queiroz, Antonio Fernando Ferreira, Sergio Luis Costa |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Anjos, Shirlei Alves, Jeferson Soares, Sarah Araujo, Rennan Oliveira, Olivia Queiroz, Antonio Fernando Ferreira, Sergio Luis Costa Anjos, Shirlei Alves, Jeferson Soares, Sarah Araujo, Rennan Oliveira, Olivia Queiroz, Antonio Fernando Ferreira, Sergio Luis Costa |
dc.subject.por.fl_str_mv |
nickel vanadium crude oil experimental multivariate ICP OES microwave assisted digestion |
topic |
nickel vanadium crude oil experimental multivariate ICP OES microwave assisted digestion |
description |
This work presents the optimization of a sample preparation procedure using microwave-assisted digestion for the determination of nickel and vanadium in crude oil employing inductively coupled plasma optical emission spectrometry (ICP OES). The optimization step was performed utilizing a two-level full factorial design involving the following factors: concentrated nitric acid and hydrogen peroxide volumes, and microwave-assisted digestion temperature. Nickel and vanadium concentrations were used as responses. Additionally, a multiple response based on the normalization of the concentrations by the highest values was built to establish a compromise condition between the two analytes. A Doehlert matrix optimized the instrumental conditions of the ICP OE spectrometer. In this design, the plasma robustness was used as chemometric response. The experiments were performed using a digested oil sample solution doped with magnesium(II) ions, as well as a standard magnesium solution. The optimized method allows for the determination of nickel and vanadium with quantification limits of 0.79 and 0.20 μg g−1 , respectively, for a digested sample mass of 0.1 g. The precision (expressed as relative standard deviations) was determined using five replicates of two oil samples and the results obtained were 1.63% and 3.67% for nickel and 0.42% and 4.64% for vanadium. Bismuth and yttrium were also tested as internal standards, and the results demonstrate that yttrium allows for a better precision for the method. The accuracy was confirmed by the analysis of the certified reference material trace element in fuel oil (CRM NIST 1634c). The proposed method was applied for the determination of nickel and vanadium in five crude oil samples from Brazilian Basins. The metal concentrations found varied from 7.30 to 33.21 μg g−1 for nickel and from 0.63 to 19.42 μg g−1 for vanadium. |
publishDate |
2018 |
dc.date.accessioned.fl_str_mv |
2018-10-04T15:09:57Z |
dc.date.available.fl_str_mv |
2018-10-04T15:09:57Z |
dc.date.issued.fl_str_mv |
2018 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
ANJOS, Shirlei L. dos et al. Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. Talanta, London, v. 178, p. 842-846, fev. 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0039914017310494>. Acesso em: 04 out. 2018. |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufba.br/ri/handle/ri/27623 |
dc.identifier.issn.none.fl_str_mv |
0039-9140 |
dc.identifier.number.pt_BR.fl_str_mv |
v. 178, p. 842-846, 2018 |
identifier_str_mv |
ANJOS, Shirlei L. dos et al. Multivariate optimization of a procedure employing microwave-assisted digestion for the determination of nickel and vanadium in crude oil by ICP OES. Talanta, London, v. 178, p. 842-846, fev. 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0039914017310494>. Acesso em: 04 out. 2018. 0039-9140 v. 178, p. 842-846, 2018 |
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openAccess |
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Elsevier |
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Brasil |
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Elsevier |
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https://www.sciencedirect.com/science/article/pii/S0039914017310494?via%3Dihub |
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