Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/19388
Tipo: Artigo
Título: Detection of corn adulteration in Brazilian coffee (Coffea arabica) by tocopherol profiling and Near-Infrared (NIR) spectroscopy
Autor(es): Winkler-Moser, Jill K.
Singh, Mukti
Rennick, Kathy A.
Bakota, Erica L.
Jham, Gulab
Liu, Sean X.
Vaughn, Steven F.
Abstract: 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.
Palavras-chave: Adulteration
Coffea arabica
Coffee
Near-infrared spectroscopy
Tocopherol
Editor: Journal of Agricultural and Food Chemistry
Tipo de Acesso: American Chemical Society
URI: https://doi.org/10.1021/acs.jafc.5b04777
http://www.locus.ufv.br/handle/123456789/19388
Data do documento: 24-Nov-2015
Aparece nas coleções:Fitopatologia - Artigos

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