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Discrimination Between Artisanal and Industrial Cassava by Raman Spectroscopy

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

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Abstract

Raman spectroscopy is a high-resolution photonic technique that can provide, in a few seconds, chemical and structural information on almost any material, organic or inorganic compound, thus allowing its identification. This technique has been used in the food industry to detect adulteration in food products and to characterize new chemical compounds. In this work, we used the Raman technique to elucidate the composition of cassava flour that provides 3.92% of the daily energy for Brazilians. Different samples of flour produced industrially and artisanal (in the flour houses in the interior of the country and sold at open markets) were analyzed. The objective of this work was to discriminate by origin and determine which vibrational modes characterize these samples of artisanal and industrial cassava flour by Raman spectroscopy technique. From artisanal and industrialized cassava flours spectra analysis, it was found that the principal Raman peaks are located between the 300 and 3000 cm−1 bands. This fact leads us to suggest that cassava flour has in its composition complex carbohydrates such as polysaccharides, unsaturated fatty acids and proteins, characteristics founds in plant origin’s food. With the present work we were able to carry out for the first time a artisanal and industrialized cassava flours chemical analysis by the Raman method.

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References

  1. Silveira FL (2008) Determination of the concentration of saturated fats in commercial foods by dispersive Raman spectroscopy. Thesis (Master's degree). University of Vale do Paraíba. Research and Development Institute. São José dos Campos, SP

    Google Scholar 

  2. Rodrigues ADG, Galzerani JC (2012) Infrared, Raman and photoluminescence spectroscopies: potential and complementarities. Rev Bras Phys Educ 34(4):4309–4319

    Google Scholar 

  3. Levy RB, Claro RM, Mondini L, Sichierii R, Monteiro CA (2012) Regional and socioeconomic distribution of household food availability in Brazil in 2008–2009. Rev Saúde Pública 46(1):6–15

    Article  Google Scholar 

  4. Corção M (2014) Memories and oblivions in Brazilian cuisine proposed by Câmara Cascudo Introduction 1(1): 77–93

    Google Scholar 

  5. Wold S, Esbenseb K, Geladi P (1987) Principal component analysis. Chemom Intell Lab Syst 7439(August):1–17

    Google Scholar 

  6. Barker M, Rayens W (2003) Partial least squares for discrimination. J Chemom 17(5):166–173

    Article  Google Scholar 

  7. Kennard RW, Stone LA (1969) Computer aided design of experiments. Technometrics 11(1):137–148

    Article  Google Scholar 

  8. Shinzawa H, Awa K, Kanematsu W, Ozaki Y (2009) Multivariate data analysis for Raman spectroscopic imaging. J Raman Spectrosc 40(12):1720–1725

    Article  Google Scholar 

  9. Vasko PD, Blackwell J, Koenig JL (1971) Infrared and Raman spectroscopy of carbohydrates. Part I: indentifications of O–H and C–H- related vibrational modes for D-glucose, maltose, cellobiose and dextran by deuterium-substitution methods. Carbohydr Res 19:297–310

    Article  Google Scholar 

  10. de Souza JML, de Álvares VS, Leite FMN, Reis FS, Felisberto FÁV (2008) Physico-chemical characterization of cassava flours from the municipality of Cruzeiro do Sul-Acre. UEPG Exact Earth Sci 14(1): 43–49

    Google Scholar 

  11. Wiercigroch E, Szafraniec E, Czamara K, Pacia MZ, Majzner K, Kochan K et al (2017) Raman and infrared spectroscopy of carbohydrates: A review. Spectrochim Acta Part A: Mol Biomol Spectrosc 185(June):317–335

    Article  Google Scholar 

  12. Czamara K, Majzner K, Pacia MZ, Kochan K, Kaczor A, Baranska M (2015) Raman spectroscopy of lipids: a review. J Raman Spectrosc 46(1):4–20

    Article  Google Scholar 

  13. Rygula A, Majzner K, Marzec KM, Kaczor A, Pilarczyk M, Baranska M (2013) Raman spectroscopy of proteins: a review. J Raman Spectrosc 44(8):1061–1076

    Article  Google Scholar 

  14. Camerlingo C, Portaccio M, Tatè R, Lepore M, Delfino I (2017) Fructose and pectin detection in fruit-based food products by surface-enhanced raman spectroscopy. Sensors (Switzerland) 17(4):1–12

    Article  Google Scholar 

  15. De Almeida MR (2011) Evaluation of the quality and variety of powdered milk and condensed milk by Raman spectroscopy and multivariate analysis. Thesis (Master's degree). Juiz de Fora Federal University. Juiz de Fora, MG, Chemistry Department

    Google Scholar 

  16. NEPA—UNICAMP. TACO (2011) Brazilian food composition table, 4th ed. Center for Studies and Research in Food, São Paulo

    Google Scholar 

  17. de Oliveira LL, Rebouças TNH (2009) Hygienic-sanitary profile of cassava flour (Manihot esculeta CRANTZ) processing units in the southwest region of Bahia. Alim Nutr, Araraquara 19(4):393–399

    Google Scholar 

  18. Nascimento Neto Fd (2006) Basic recommendations for the application of good agricultural and manufacturing practices in family farming. EMBRAPA, 1a. Brasília, DF, 243 p

    Google Scholar 

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Doria, E., Nunez, S.C., Navarro, R.S., Cogo, J.C., Mendes, T.O., Frade-Barros, A.F. (2022). Discrimination Between Artisanal and Industrial Cassava by Raman Spectroscopy. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_183

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_183

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  • Online ISBN: 978-3-030-70601-2

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