| dc.creator | Franco, Mathews de Oliveira Krambeck | |
| dc.creator | Suarez, Willian Toito | |
| dc.creator | Maia, Matheus Valentin | |
| dc.creator | Santos, Vagner Bezerra dos | |
| dc.date | 2018-11-12T19:12:07Z | |
| dc.date | 2018-11-12T19:12:07Z | |
| dc.date | 2016-12-29 | |
| dc.date.accessioned | 2023-09-27T21:24:32Z | |
| dc.date.available | 2023-09-27T21:24:32Z | |
| dc.identifier | 1936976X | |
| dc.identifier | http://dx.doi.org/10.1007/s12161-016-0777-y | |
| dc.identifier | http://www.locus.ufv.br/handle/123456789/22535 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8960107 | |
| dc.description | 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. | |
| dc.format | pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Food Analytical Methods | |
| dc.relation | Volume 10, Issue 6, Pages 2102– 2109, June 2017 | |
| dc.rights | Springer Science+Business Media New York 2016 | |
| dc.subject | Spot test | |
| dc.subject | Digital image analysis | |
| dc.subject | Methanol | |
| dc.subject | Sugar cane spirits | |
| dc.subject | Cachaça | |
| dc.subject | Food analysis | |
| dc.subject | Food contamination | |
| dc.title | Smartphone application for methanol determination in sugar cane spirits employing digital image-based method | |
| dc.type | Artigo | |
