The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices

Detalhes bibliográficos
Autor(a) principal: Adusei, Emmanuel
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/6713
Resumo: Dissertação de mestrado Erasmus Mundus para obtenção do grau de mestre em Técnicas Laboratoriais Forenses
id RCAP_84edb413855f3bcd496899a9326e640b
oai_identifier_str oai:comum.rcaap.pt:10400.26/6713
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spicesSpicesSudan dyesWDXRFMultiple regressionLogistic regressionDissertação de mestrado Erasmus Mundus para obtenção do grau de mestre em Técnicas Laboratoriais ForensesSudan dyes are synthetic azo and diazo compounds that are banned for use in food worldwide including the European Community due to their potential toxicity to humans. The ability of WDXRF spectroscopic technique to predict the levels of adulteration of paprika and sweet pepper suspected to be adulterated with Sudan I-IV, Para Red and Sunset Yellow FCF dyes was investigated in this study. Logistic regression and discriminant analysis classification models were developed to predict the type of adulteration using WDXRF spectral features such as the Compton and Rayleigh scatter intensities and the Compton and Rayleigh ratios. Prediction of the levels of adulteration was assessed by using multiple regression analysis. 83% of the 210 adulterated samples were correctly classified by the logistic regression with 90% sensitivity, 75%specificity with a prediction power of 92% into respective adulteration groups. 86% and 90% correct prediction were obtained for discriminant analysis models with 94% sensitivity and 74% specificity. Three multiple regression models were performed for each data set. Models based on the Compton and Rayleigh ratios, Compton and Rayleigh scatter intensities as well as a full model based on both ratios and scatter intensities were developed and compared with each other. The full model revealed to be the best model to predict the levels of adulteration with an adjusted R2 between 95.1 to 99.0% with the errors of estimate between 1.6 to 3.7%.To the best of the author’s knowledge, this is the first time such methodological approach was used for the purposes of screening illegal dyes in food matrices. Moreover, WDXRF technique may represent a promising tool for the screening of Sudan dyes-adulterated spices and can be used as an alternative to classical methods for determining Sudan dyes present in food.Instituto Superior de Ciências da Saúde Egas MonizGonçalves, Luísa LimaRepositório ComumAdusei, Emmanuel2014-09-18T11:27:41Z2014-07-01T00:00:00Z2014-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.26/6713201541521enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-10-06T14:51:29Zoai:comum.rcaap.pt:10400.26/6713Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:06:05.433450Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
title The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
spellingShingle The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
Adusei, Emmanuel
Spices
Sudan dyes
WDXRF
Multiple regression
Logistic regression
title_short The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
title_full The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
title_fullStr The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
title_full_unstemmed The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
title_sort The use of wavelength-dispersive x-ray fluorescence (WDXRF) spectroscopy and multivariate techniques for the assessment of illegal dyes in spices
author Adusei, Emmanuel
author_facet Adusei, Emmanuel
author_role author
dc.contributor.none.fl_str_mv Gonçalves, Luísa Lima
Repositório Comum
dc.contributor.author.fl_str_mv Adusei, Emmanuel
dc.subject.por.fl_str_mv Spices
Sudan dyes
WDXRF
Multiple regression
Logistic regression
topic Spices
Sudan dyes
WDXRF
Multiple regression
Logistic regression
description Dissertação de mestrado Erasmus Mundus para obtenção do grau de mestre em Técnicas Laboratoriais Forenses
publishDate 2014
dc.date.none.fl_str_mv 2014-09-18T11:27:41Z
2014-07-01T00:00:00Z
2014-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/6713
201541521
url http://hdl.handle.net/10400.26/6713
identifier_str_mv 201541521
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Superior de Ciências da Saúde Egas Moniz
publisher.none.fl_str_mv Instituto Superior de Ciências da Saúde Egas Moniz
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799129931448320000

Registros relacionados