Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel

Detalhes bibliográficos
Ano de defesa: 2012
Autor(a) principal: Gambarra Neto, Francisco Fernandes
Orientador(a): Ferreira, Antonio Gilberto lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Química - PPGQ
Departamento: Não Informado pela instituição
País: BR
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/ufscar/6228
Resumo: The development of instrumentation in Nuclear Magnetic Resonance (NMR) increased the sensitivity of the technique, allowing samples in micro and nanogram scale can be examined. These new technologies enabled the NMR technique was seen as an analytical tool for the quantification of substances in addition to their use in identifying as traditionally did. Quantitative Nuclear Magnetic Resonance (qNMR) is a very important area that is not widely used in analytical chemistry, with the need for a validation study to verify its ability to quantify by a metrological point of view. The application and validation of methods minimize the potential problems associated with the analytical method and also lends credence to the method studied, providing comprehensive information about many important aspects that reflect the behavior and reliability of the method. The validation studies of methods RMNq were performed in accordance with ISO / IEC 17025 and ISO GUM. The validation of the method is followed by measuring the uncertainty of measurement qNMR and its importance has been widespread in the analytical chemists area and also in the chemical society in general. The rules for establishing chemical activity as a source of patterning the selectivity studies, investigating the effects of interferents likely in the samples, and for the NMR technique, it is superior to many other analytical instruments. Therefore, the objective of this study was to provide quantitative and alternatives tools, taking into account the metrological quantification of substances by 1H NMR, which is something absolutely new for the Brazilian market. The measure of the selectivity was performed using quantification chemometrics in the spectra of 1H and 13C NMR. Metrology of the main interfering in the 1H NMR technique was studied to quantify the levels of biodiesel in commercial samples and standards of diesel in different proportions in the mixture of biodiesel BX. This study led to the separation of two sets of samples which, by classification using the chemometrics algorithm Successive projection algorithm - Linear Discriminant Analysis (SPA-LDA), are widely separated in diesel fuel containing sulfur in 1800 and 500 ppm . The selectivity was calculated by the quantification chemometric by the algorithm SPA - Multiple linear regression (SPA-MLR) of sulfur content, the density at 20°C, the distillation temperature to 50% and 80% of diesel oil, the cetane number and flash point compared to the results obtained by laboratory (Laboratório de Combustíveis do CCDM/DEMa Universidade Federal de São Carlos) accredited by the ANP (Agência Nacional de Petróleo e Biocobumstíveis).
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spelling Gambarra Neto, Francisco FernandesFerreira, Antonio Gilbertohttp://genos.cnpq.br:12010/dwlattes/owa/prc_imp_cv_int?f_cod=K4721956Y6http://lattes.cnpq.br/84045721381773152016-06-02T20:34:34Z2012-05-232016-06-02T20:34:34Z2012-03-29GAMBARRA NETO, Francisco Fernandes. Metrological and chemometric treatment of nuclear magnetic resonance data for biodiesel in diesel samples. 2012. 140 f. Tese (Doutorado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2012.https://repositorio.ufscar.br/handle/ufscar/6228The development of instrumentation in Nuclear Magnetic Resonance (NMR) increased the sensitivity of the technique, allowing samples in micro and nanogram scale can be examined. These new technologies enabled the NMR technique was seen as an analytical tool for the quantification of substances in addition to their use in identifying as traditionally did. Quantitative Nuclear Magnetic Resonance (qNMR) is a very important area that is not widely used in analytical chemistry, with the need for a validation study to verify its ability to quantify by a metrological point of view. The application and validation of methods minimize the potential problems associated with the analytical method and also lends credence to the method studied, providing comprehensive information about many important aspects that reflect the behavior and reliability of the method. The validation studies of methods RMNq were performed in accordance with ISO / IEC 17025 and ISO GUM. The validation of the method is followed by measuring the uncertainty of measurement qNMR and its importance has been widespread in the analytical chemists area and also in the chemical society in general. The rules for establishing chemical activity as a source of patterning the selectivity studies, investigating the effects of interferents likely in the samples, and for the NMR technique, it is superior to many other analytical instruments. Therefore, the objective of this study was to provide quantitative and alternatives tools, taking into account the metrological quantification of substances by 1H NMR, which is something absolutely new for the Brazilian market. The measure of the selectivity was performed using quantification chemometrics in the spectra of 1H and 13C NMR. Metrology of the main interfering in the 1H NMR technique was studied to quantify the levels of biodiesel in commercial samples and standards of diesel in different proportions in the mixture of biodiesel BX. This study led to the separation of two sets of samples which, by classification using the chemometrics algorithm Successive projection algorithm - Linear Discriminant Analysis (SPA-LDA), are widely separated in diesel fuel containing sulfur in 1800 and 500 ppm . The selectivity was calculated by the quantification chemometric by the algorithm SPA - Multiple linear regression (SPA-MLR) of sulfur content, the density at 20°C, the distillation temperature to 50% and 80% of diesel oil, the cetane number and flash point compared to the results obtained by laboratory (Laboratório de Combustíveis do CCDM/DEMa Universidade Federal de São Carlos) accredited by the ANP (Agência Nacional de Petróleo e Biocobumstíveis).O desenvolvimento da instrumentação na Ressonância Magnética Nuclear (RMN) aumentou a sensibilidade da técnica, permitindo que amostras em escalas de micro e nanogramas possam ser analisadas. Essas novas tecnologias possibilitaram que a técnica de RMN fosse vista como uma ferramenta analítica para a quantificação de substâncias além do seu uso na identificação como tradicionalmente se fazia. A Ressonância Magnética Nuclear quantitativa (RMNq) é uma área muito importante que ainda é pouco utilizada na química analítica, havendo a necessidade de um estudo de validação para verificar sua capacidade de quantificação por um ponto de vista metrológico. As aplicações de validação de métodos minimizam os problemas potenciais associados com o método analítico e também dão credibilidade ao método estudado, fornecendo informações abrangentes sobre muitos aspectos importantes que refletem o comportamento e a confiabilidade do método. Os estudos de validação de métodos de RMNq foram realizados em conformidade com a norma ISO/IEC 17025 e ISO GUM. A validação do método é seguida pela medida da incerteza de medição em RMNq e a sua importância vem sendo difundida no meio dos químicos analíticos e em meio à sociedade química em geral. As normas de atividade química instituem como fonte de padronização os estudos de seletividade, que investigam os efeitos dos prováveis interferentes nas amostras e, para a técnica RMN, ela é superior a muitos outros instrumentos analíticos. Portanto, o objetivo desse trabalho foi o de apresentar ferramentas quantitativas alternativas, levando em consideração a metrologia na quantificação de substâncias por RMN de 1H, o que é algo absolutamente novo para o comércio brasileiro. A medida da seletividade foi realizada utilizando-se a quimiometria de quantificação nos espectros de RMN de 1H e 13C. A metrologia dos principais interferentes da técnica RMN de 1H foi estudada para a quantificação dos teores de biodiesel, em amostras padrões e comerciais de óleo diesel em diferentes proporções de biodiesel na mistura BX. Este estudo levou à separação de dois conjuntos de amostras os quais, por quimiometria de classificação utilizando-se o algoritmo Successive projection algorithm Linear discriminant analysis (SPA-LDA), foram amplamente separados em óleo diesel contendo teores de enxofre em 1800 e 500 ppm. A seletividade foi calculada pela quimiometria de quantificação, através do algoritmo SPA - Multiple linear regression (SPA-MLR), do teor de enxofre, da massa específica à 20 ºC, da temperatura de destilação a 50% e a 80% do óleo diesel, do índice de cetano e do ponto de fulgor comparados aos resultados obtidos por laboratório (Laboratório de Combustíveis do CCDM/DEMa da Universidade Federal de São Carlos) credenciado pela ANP (Agência Nacional do Petróleo).Universidade Federal de Sao Carlosapplication/pdfporUniversidade Federal de São CarlosPrograma de Pós-Graduação em Química - PPGQUFSCarBRRessonância magnética nuclearMediçãoQuimiometriaQuímica analíticaCIENCIAS EXATAS E DA TERRA::QUIMICATratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em dieselMetrological and chemometric treatment of nuclear magnetic resonance data for biodiesel in diesel samplesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINAL4335.pdfapplication/pdf3194405https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/6228/1/4335.pdfde192f05ba3d247cec9fc8393b575019MD51TEXT4335.pdf.txt4335.pdf.txtExtracted texttext/plain0https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/6228/4/4335.pdf.txtd41d8cd98f00b204e9800998ecf8427eMD54THUMBNAIL4335.pdf.jpg4335.pdf.jpgIM Thumbnailimage/jpeg11785https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/6228/5/4335.pdf.jpgc64d5432c9234b478620781cb51226b9MD55ufscar/62282020-03-23 19:42:59.819oai:repositorio.ufscar.br:ufscar/6228Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-05-25T12:51:00.828132Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.por.fl_str_mv Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
dc.title.alternative.eng.fl_str_mv Metrological and chemometric treatment of nuclear magnetic resonance data for biodiesel in diesel samples
title Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
spellingShingle Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
Gambarra Neto, Francisco Fernandes
Ressonância magnética nuclear
Medição
Quimiometria
Química analítica
CIENCIAS EXATAS E DA TERRA::QUIMICA
title_short Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
title_full Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
title_fullStr Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
title_full_unstemmed Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
title_sort Tratamento metrológico e quimiométrico de dados de ressonância magnética nuclear para amostras de biodiesel em diesel
author Gambarra Neto, Francisco Fernandes
author_facet Gambarra Neto, Francisco Fernandes
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/8404572138177315
dc.contributor.author.fl_str_mv Gambarra Neto, Francisco Fernandes
dc.contributor.advisor1.fl_str_mv Ferreira, Antonio Gilberto
dc.contributor.advisor1Lattes.fl_str_mv http://genos.cnpq.br:12010/dwlattes/owa/prc_imp_cv_int?f_cod=K4721956Y6
contributor_str_mv Ferreira, Antonio Gilberto
dc.subject.por.fl_str_mv Ressonância magnética nuclear
Medição
Quimiometria
Química analítica
topic Ressonância magnética nuclear
Medição
Quimiometria
Química analítica
CIENCIAS EXATAS E DA TERRA::QUIMICA
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::QUIMICA
description The development of instrumentation in Nuclear Magnetic Resonance (NMR) increased the sensitivity of the technique, allowing samples in micro and nanogram scale can be examined. These new technologies enabled the NMR technique was seen as an analytical tool for the quantification of substances in addition to their use in identifying as traditionally did. Quantitative Nuclear Magnetic Resonance (qNMR) is a very important area that is not widely used in analytical chemistry, with the need for a validation study to verify its ability to quantify by a metrological point of view. The application and validation of methods minimize the potential problems associated with the analytical method and also lends credence to the method studied, providing comprehensive information about many important aspects that reflect the behavior and reliability of the method. The validation studies of methods RMNq were performed in accordance with ISO / IEC 17025 and ISO GUM. The validation of the method is followed by measuring the uncertainty of measurement qNMR and its importance has been widespread in the analytical chemists area and also in the chemical society in general. The rules for establishing chemical activity as a source of patterning the selectivity studies, investigating the effects of interferents likely in the samples, and for the NMR technique, it is superior to many other analytical instruments. Therefore, the objective of this study was to provide quantitative and alternatives tools, taking into account the metrological quantification of substances by 1H NMR, which is something absolutely new for the Brazilian market. The measure of the selectivity was performed using quantification chemometrics in the spectra of 1H and 13C NMR. Metrology of the main interfering in the 1H NMR technique was studied to quantify the levels of biodiesel in commercial samples and standards of diesel in different proportions in the mixture of biodiesel BX. This study led to the separation of two sets of samples which, by classification using the chemometrics algorithm Successive projection algorithm - Linear Discriminant Analysis (SPA-LDA), are widely separated in diesel fuel containing sulfur in 1800 and 500 ppm . The selectivity was calculated by the quantification chemometric by the algorithm SPA - Multiple linear regression (SPA-MLR) of sulfur content, the density at 20°C, the distillation temperature to 50% and 80% of diesel oil, the cetane number and flash point compared to the results obtained by laboratory (Laboratório de Combustíveis do CCDM/DEMa Universidade Federal de São Carlos) accredited by the ANP (Agência Nacional de Petróleo e Biocobumstíveis).
publishDate 2012
dc.date.available.fl_str_mv 2012-05-23
2016-06-02T20:34:34Z
dc.date.issued.fl_str_mv 2012-03-29
dc.date.accessioned.fl_str_mv 2016-06-02T20:34:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv GAMBARRA NETO, Francisco Fernandes. Metrological and chemometric treatment of nuclear magnetic resonance data for biodiesel in diesel samples. 2012. 140 f. Tese (Doutorado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2012.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/6228
identifier_str_mv GAMBARRA NETO, Francisco Fernandes. Metrological and chemometric treatment of nuclear magnetic resonance data for biodiesel in diesel samples. 2012. 140 f. Tese (Doutorado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2012.
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