Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://doi.org/10.1021/acs.jafc.5b04777 http://www.locus.ufv.br/handle/123456789/19388 |
Resumo: | Coffee is a high-value commodity that is a target for adulteration, leading to loss of quality and causing significant loss to consumers. Therefore, there is significant interest in developing methods for detecting coffee adulteration and improving the sensitivity and accuracy of these methods. Corn and other lower value crops are potential adulterants, along with sticks and coffee husks. Fourteen pure Brazilian roasted, ground coffee bean samples were adulterated with 1–20% of roasted, ground corn and were analyzed for their tocopherol content and profile by HPLC. They were also analyzed by near-infrared (NIR) spectroscopy. Both proposed methods of detection of corn adulteration displayed a sensitivity of around 5%, thus representing simple and fast analytical methods for detecting adulteration at likely levels of contamination. Further studies should be conducted to verify the results with a much larger sample size and additional types of adulterants. |
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Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopyAdulterationCoffea arabicaCoffeeNear-infrared spectroscopyTocopherolCoffee is a high-value commodity that is a target for adulteration, leading to loss of quality and causing significant loss to consumers. Therefore, there is significant interest in developing methods for detecting coffee adulteration and improving the sensitivity and accuracy of these methods. Corn and other lower value crops are potential adulterants, along with sticks and coffee husks. Fourteen pure Brazilian roasted, ground coffee bean samples were adulterated with 1–20% of roasted, ground corn and were analyzed for their tocopherol content and profile by HPLC. They were also analyzed by near-infrared (NIR) spectroscopy. Both proposed methods of detection of corn adulteration displayed a sensitivity of around 5%, thus representing simple and fast analytical methods for detecting adulteration at likely levels of contamination. Further studies should be conducted to verify the results with a much larger sample size and additional types of adulterants.Journal of Agricultural and Food Chemistry2018-05-08T14:29:39Z2018-05-08T14:29:39Z2015-11-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf15205118https://doi.org/10.1021/acs.jafc.5b04777http://www.locus.ufv.br/handle/123456789/19388engv. 63, n. 49, p. 10662–10668, November 2015American Chemical Societyinfo:eu-repo/semantics/openAccessWinkler-Moser, Jill K.Singh, MuktiRennick, Kathy A.Bakota, Erica L.Jham, GulabLiu, Sean X.Vaughn, Steven F.reponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T06:36:29Zoai:locus.ufv.br:123456789/19388Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T06:36:29LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
title |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
spellingShingle |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy Winkler-Moser, Jill K. Adulteration Coffea arabica Coffee Near-infrared spectroscopy Tocopherol |
title_short |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
title_full |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
title_fullStr |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
title_full_unstemmed |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
title_sort |
Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy |
author |
Winkler-Moser, Jill K. |
author_facet |
Winkler-Moser, Jill K. Singh, Mukti Rennick, Kathy A. Bakota, Erica L. Jham, Gulab Liu, Sean X. Vaughn, Steven F. |
author_role |
author |
author2 |
Singh, Mukti Rennick, Kathy A. Bakota, Erica L. Jham, Gulab Liu, Sean X. Vaughn, Steven F. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Winkler-Moser, Jill K. Singh, Mukti Rennick, Kathy A. Bakota, Erica L. Jham, Gulab Liu, Sean X. Vaughn, Steven F. |
dc.subject.por.fl_str_mv |
Adulteration Coffea arabica Coffee Near-infrared spectroscopy Tocopherol |
topic |
Adulteration Coffea arabica Coffee Near-infrared spectroscopy Tocopherol |
description |
Coffee is a high-value commodity that is a target for adulteration, leading to loss of quality and causing significant loss to consumers. Therefore, there is significant interest in developing methods for detecting coffee adulteration and improving the sensitivity and accuracy of these methods. Corn and other lower value crops are potential adulterants, along with sticks and coffee husks. Fourteen pure Brazilian roasted, ground coffee bean samples were adulterated with 1–20% of roasted, ground corn and were analyzed for their tocopherol content and profile by HPLC. They were also analyzed by near-infrared (NIR) spectroscopy. Both proposed methods of detection of corn adulteration displayed a sensitivity of around 5%, thus representing simple and fast analytical methods for detecting adulteration at likely levels of contamination. Further studies should be conducted to verify the results with a much larger sample size and additional types of adulterants. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11-24 2018-05-08T14:29:39Z 2018-05-08T14:29:39Z |
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.uri.fl_str_mv |
15205118 https://doi.org/10.1021/acs.jafc.5b04777 http://www.locus.ufv.br/handle/123456789/19388 |
identifier_str_mv |
15205118 |
url |
https://doi.org/10.1021/acs.jafc.5b04777 http://www.locus.ufv.br/handle/123456789/19388 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
v. 63, n. 49, p. 10662–10668, November 2015 |
dc.rights.driver.fl_str_mv |
American Chemical Society info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
American Chemical Society |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
Journal of Agricultural and Food Chemistry |
publisher.none.fl_str_mv |
Journal of Agricultural and Food Chemistry |
dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
LOCUS Repositório Institucional da UFV |
collection |
LOCUS Repositório Institucional da UFV |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
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1822610564609736704 |