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https://locus.ufv.br//handle/123456789/22535
Tipo: | Artigo |
Título: | Smartphone application for methanol determination in sugar cane spirits employing digital image-based method |
Autor(es): | Franco, Mathews de Oliveira Krambeck Suarez, Willian Toito Maia, Matheus Valentin Santos, Vagner Bezerra dos |
Abstract: | A simple, accurate, and low-cost analytical procedure for methanol determination in sugarcane spirits (cachaça) employing analysis of digital images is presented. A portable system with cheap materials and lighting system to obtain images from a smartphone was built and an RGB system was used for analytical purposes. The reaction for determination of methanol in beverages consists in methanol oxidation to methanal, and consequent formation of a violet chromophore in the presence of chromotropic acid on heating in an oven at 80 °C for 15 min. From the system optimization, analytical curves that showed good linearity for the green channel (from RGB) was built, with regression coefficient (R^ 2) of 0.998. Relevant matrix effect in the samples was not verified, since the recovery percentage ranged from 83 to 110%. The results of methanol concentration in six cachaça samples obtained by the developed method were compared with using the spectrophotometric method with a confidence level of 95% (n = 3). The developed method has some economic and environmental benefits, since it has low reagent consumption with 800 μL per measured spot, as well as, it presents cheap and handle-easy devices, which encourages the quality control of this toxic and undesirable contaminant for smallholders and industries on production of sugar cane spirits. |
Palavras-chave: | Spot test Digital image analysis Methanol Sugar cane spirits Cachaça Food analysis Food contamination |
Editor: | Food Analytical Methods |
Tipo de Acesso: | Springer Science+Business Media New York 2016 |
URI: | http://dx.doi.org/10.1007/s12161-016-0777-y http://www.locus.ufv.br/handle/123456789/22535 |
Data do documento: | 29-Dez-2016 |
Aparece nas coleções: | Artigos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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artigo.pdf Until 2100-12-31 | texto completo | 1,8 MB | Adobe PDF | Visualizar/Abrir ACESSO RESTRITO |
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