Food Analytical Methods

, Volume 10, Issue 6, pp 2102–2109 | Cite as

Smartphone Application for Methanol Determination in Sugar Cane Spirits Employing Digital Image-Based Method

  • Mathews de Oliveira Krambeck Franco
  • Willian Toito Suarez
  • Matheus Valentin Maia
  • Vagner Bezerra dos Santos
Article
  • 230 Downloads

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.

Keywords

Spot test Digital image analysis Methanol Sugar cane spirits Cachaça Food analysis Food contamination 

Notes

Compliance with Ethical Standards

Conflict of Interest

Mathews O. K. Franco declares that he has no conflict of interest. Willian T. Suarez declares that he has no conflict of interest. Vagner B. dos Santos declares that he has no conflict of interest. Matheus V. Maia declares that he has no conflict of interest.

Compliance with Ethical Standards

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

References

  1. Association of Official Analytical Chemists - AOAC (1995) Official methods of analysis of AOAC international, 16th edn. Washington, DCGoogle Scholar
  2. Benedetti LPS, Santos VB, Silva TA et al (2015a) A digital image analysis method for quantification of sulfite in beverages. Anal Methods 7:7568–7573CrossRefGoogle Scholar
  3. Benedetti LPS, Santos VB, Silva TA et al (2015b) A digital image-based method employing a spot-test for quantification of ethanol in drinks. Anal Methods 7:4138–4144CrossRefGoogle Scholar
  4. Boss RN (1948) Quantitative colorimetric microdetermination of methanol with chromotropic acid reagent. Anal Chem 20:964–965CrossRefGoogle Scholar
  5. Boyaci IH, Genis HE, Guven B et al (2012) A novel method for quantification of ethanol and methanol in distilled alcoholic beverages using Raman spectroscopy. J Raman Spectrosc 43:1171–1176CrossRefGoogle Scholar
  6. Chen S-H, Wu H-L, Yen C-H et al (1998) Trace determination of methanol in water–ethanol solution by derivatization and high-performance liquid chromatography. J Chromatogr A 799:93–99CrossRefGoogle Scholar
  7. da Silva LC, da Lima DF, Silva JA et al (2016) Quantification of synthetic amino-nitroquinoxaline dyes: an approach using image analysis. J Braz Chem Soc 27:1067–1077Google Scholar
  8. Dakashev A, Pavlov S, Stancheva K (2013) Application of digital camera and digital image processing technique for molecular absorption analysis in the visible spectrum. Univers J Chem 1:129–134Google Scholar
  9. Dominguez M, Centurión ME (2015) Application of digital images to determine color in honey samples from Argentina. Microchem J 118:110–114CrossRefGoogle Scholar
  10. Fritz NE, Jiang A, Keller J, Zackowski KM (2016) Utility of the six-spot step test as a measure of walking performance in ambulatory individuals with multiple sclerosis. Arch Phys Med Rehabil 97:507–512CrossRefGoogle Scholar
  11. García-Llobodanin L, Achaerandio I, Ferrando M et al (2007) Pear distillates from pear juice concentrate: effect of lees in the aromatic composition. J Agric Food Chem 55:3462–3468CrossRefGoogle Scholar
  12. Garrigues J, Pérez-Ponce A, Garrigues S, de la Guardia M (1997) Direct determination of ethanol and methanol in liquid samples by means of vapor phase-Fourier transform infrared spectroscopy. Vib Spectrosc 15:219–228CrossRefGoogle Scholar
  13. Geroyiannaki M, Komaitis ME, Stavrakas DE et al (2007) Evaluation of acetaldehyde and methanol in greek traditional alcoholic beverages from varietal fermented grape pomaces (Vitis vinifera L.). Food Control 18:988–995CrossRefGoogle Scholar
  14. Guo Q, Small GW (2013) Quantitative determination of methanol and ethanol with synthetic calibration spectra in passive Fourier transform infrared remote sensing measurements. Appl Spectrosc 67:913–923CrossRefGoogle Scholar
  15. Junior SB, Ketzer DCM, Gubert R et al (2006) Composição química da cachaça produzida na região noroeste do Rio Grande do Sul, Brasil. Ciência e Tecnol Aliment 26:793–798CrossRefGoogle Scholar
  16. Kucheryavskiy S, Melenteva A, Bogomolov A (2014) Determination of fat and total protein content in milk using conventional digital imaging. Talanta 121:144–152CrossRefGoogle Scholar
  17. Kumar V, Vimal BK, Kumar R et al (2014) Determination of soil pH by using digital image processing technique. J Appl Nat Sci 6:14–18Google Scholar
  18. Kuo C-C, Wen Y-H, Huang C-M et al (2002) A removable derivatization HPLC for analysis of methanol in Chinese liquor medicine. J Food Drug Anal 10:101–106Google Scholar
  19. Lee Y-M, Kim S-M, Park SJ et al (2013) Indeterminate T-SPOT.TB test results in patients with suspected extrapulmonary tuberculosis in routine clinical practice. Infect Chemother 45:44–50CrossRefGoogle Scholar
  20. Lopez-Molinero A, Liñan D, Sipiera D, Falcon R (2010) Chemometric interpretation of digital image colorimetry. Application for titanium determination in plastics. Microchem J 96:380–385CrossRefGoogle Scholar
  21. Luna HGS, Canuto MH, de Lima GM, da Silva JBB (2002) Cachaça Artesanal de Minas. Inf Agropecuário 23:59–62Google Scholar
  22. Lyra WS, Diniz PHGD, Lemos SG et al (2011) Indirect determination of sodium diclofenac, sodium dipyrone and calcium gluconate in injection drugs using digital image-based (webcam) flame emission spectrometric method. Anal Methods 3:1975–1980CrossRefGoogle Scholar
  23. Matias FAA, Vila MMDC, Tubino M (2004) Quantitative reflectance spot test for the determination of acetylsalicylic acid in pharmaceutical preparations. J Braz Chem Soc 15:327–330CrossRefGoogle Scholar
  24. Ministry of Agriculture, Livestock and Supply (2005a) Instrução Normativa no. 13, de 30 de junho de 2005. Aprova o Regulamento Técnico para Fixação dos Padrões de Identidade e Qualidade para Aguardente de Cana e para Cachaça. Diário Oficial da União, BrasíliaGoogle Scholar
  25. Ministry of Agriculture, Livestock and Supply (2005b) Instrução normativa no. 24, de 08 de setembro de 2005. Manual operacional de bebidas e vinagres. Diário Oficial da União, BrasíliaGoogle Scholar
  26. Mizgunova UM, Zolotova GA, Dolmanova IF (1996) Enzymic method for the determination of ethanol and methanol with spectrophotometric detection of the rate of the process. Analyst 121:431CrossRefGoogle Scholar
  27. Nagarajan R, Mehrotra R, Bajaj MM (2006) Quantitative analysis of methanol, an adulterant in alcoholic beverages, using attenuated total reflectance spectroscopy. J Sci Ind Res 65:416–419Google Scholar
  28. O’Neal CL, Crouch DJ, Fatah AA (2000) Validation of twelve chemical spot tests for the detection of drugs of abuse. Forensic Sci Int 109:189–201CrossRefGoogle Scholar
  29. Qureshi M, Mohammad A, Raju G (1981) Systematic analysis for common cations by solid-state spot-tests. Talanta 28:817–823CrossRefGoogle Scholar
  30. Schmidt L, Marmitt S, Oliveira EC, Souza CFV De (2009) Características físico-químicas de aguardentes produzidas artesanalmente na região do vale do taquari no rio grande do sul. Aliment e Nutr 20:539–551.Google Scholar
  31. Sena RC, Soares M, Pereira MLO et al (2011) A simple method based on the application of a CCD camera as a sensor to detect low concentrations of barium sulfate in suspension. Sensors 11:864–875CrossRefGoogle Scholar
  32. Souza LMD, Alcarde AR, Lima FV, Bortoletto AM (2013) Produção de Cachaça de Qualidade. ESALQ, PiracicabaGoogle Scholar
  33. Sumriddetchkajorn S, Chaitavon K, Intaravanne Y (2014) Mobile-platform based colorimeter for monitoring chlorine concentration in water. Sensors Actuators B Chem 191:561–566CrossRefGoogle Scholar
  34. Tininis AG, Leandro A, Pezza HR et al (2008) Rapid spot test analysis for the detection of urotropine in pharmaceutical preparations. Anal Lett 33:2901–2912CrossRefGoogle Scholar
  35. Vilela FJ, Cardoso MG, Masson J, Anjos JP (2007) Determinação das composições físico-químicas de cachaças do sul de minas gerais e de suas misturas. Ciência e Agrotecnologia 31:1089–1094Google Scholar
  36. Wang M, Choong Y, Su N, Lee M (2003) A rapid method for determination of ethanol in alcoholic beverages using capillary gas chromatography. J Food Drug Anal 11:133–140Google Scholar
  37. Wang M, Wang J, Choong Y (2004) A rapid and accurate method for determination of methanol in alcoholic beverage by direct injection capillary gas chromatography. J Food Compos Anal 17:187–196CrossRefGoogle Scholar
  38. Zeraik AE, Souza FS, Fatibello-Filho O, Leite OD (2008) Desenvolvimento de um Spot Test para o Monitoramento da Atividade da Peroxidase em um Procedimento de Purificação. Quim Nov 31:731–734CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Mathews de Oliveira Krambeck Franco
    • 1
  • Willian Toito Suarez
    • 1
  • Matheus Valentin Maia
    • 1
  • Vagner Bezerra dos Santos
    • 2
  1. 1.Departamento de QuímicaUniversidade Federal de ViçosaViçosaBrazil
  2. 2.Instituto de Ciências Exatas e NaturaisUniversidade Federal do ParáBelémBrazil

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