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Multivariate optimization of a method based on slurry sampling for determination of Fe, Mn and Zn in spirulina (Arthrospira sp.) samples

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Abstract

In the present work a novel methodology for the determination of Fe, Mn, and Zn by flame atomic absorption spectrometry in samples of spirulina, commercialized as a food supplement, was developed. Variables involved in the sample preparation were optimized using the Doehlert design and desirability function. The developed method presented quantification limits of 18, 5.3, and 8.6 mg kg−1, precision, expressed as repeatability (%RSD, 0.5 mg kg−1, N = 5) of 1.3; 1.8 and 2.3% respectively for Fe, Mn, and Zn. Accuracy was assessed by addition/recovery test, comparison with another method adopted as standard, and analysis of certified reference materials (Apple leaves NIST1515, and Pinus leaves NIST 1575a), showing that the method presents adequate accuracy for the determination of the elements studied. The concentrations of Fe, Mn, and Zn found were in the ranges from 52.5 to 836; 7.50 to 40.2, and 13.7 to 25.0 mg kg−1 respectively.

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References

  1. S. Kouser Ali, A. Mohammed Saleh, Int. J. Pharm. Pharm. Sci. 4(3), 9–15 (2012)

    Google Scholar 

  2. B.W.B. Holman, A.E.O. Malau-Aduli, J. Anim. Physiol. Anim. Nutr. (2013). https://doi.org/10.1111/j.1439-0396.2012.01328.x

    Article  Google Scholar 

  3. B. Raoof, B.D. Kaushik, R. Prasanna, Biomass. Bioenerg. (2006). https://doi.org/10.1016/j.biombioe.2005.09.006

    Article  Google Scholar 

  4. E.W. Becker, Biotechnol. Adv. (2007). https://doi.org/10.1016/j.biotechadv.2006.11.002

    Article  PubMed  Google Scholar 

  5. M.R. Andrade, J.A.V. Costa, Ciencia Tecnol. Alime. (2008). https://doi.org/10.1590/S1413-70542008000500029

    Article  Google Scholar 

  6. A.S. Babadzhanov, N. Abdusamatova, F.M. Yusupova, N. Faizullaeva, L.G. Mezhlumyan, M.K. Malikova, Chem. Nat. Compd. (2004). https://doi.org/10.1023/B:CONC.0000039141.98247.e8

    Article  Google Scholar 

  7. T. Okamoto, H. Kawashima, H. Osada, E. Toda, K. Homma, N. Nagai, Y. Imai, K. Tsubota, Y. Ozawa, Transl. Vis. Sci. Technol. (2019). https://doi.org/10.1167/tvst.8.6.20

    Article  PubMed  PubMed Central  Google Scholar 

  8. S. Grosshagauer, K. Kraemer, V. Somoza, J. Agric. Food. Chem. (2020). https://doi.org/10.1021/acs.jafc.9b08251

    Article  PubMed  Google Scholar 

  9. L. Gouveia, A.P. Batista, I. Sousa, A. Raymundo, N.M. Bandarra, in Food Chemistry Research Developments, ed. by K.N. Papadopoulos (Nova Science Publishers, 2008), pp. 1–37.

  10. T.A. Anunciação, W.C. Carvalho, M.G.A. Korn, J.S. Almeida, A.F. Dantas, L.S.G. Teixeira, Food Chem. (2021). https://doi.org/10.1016/j.foodchem.2021.130474

    Article  Google Scholar 

  11. A.S. Silva, G.C. Brandão, S.L.C. Ferreira, A.M.P. Santos, Anal. Lett. (2021). https://doi.org/10.1080/00032719.2021.1991941

    Article  Google Scholar 

  12. C.K. Andrade, P.M.K. Brito, V.E. Anjos, S.P. Quináia, Food Chem. (2018). https://doi.org/10.1016/j.foodchem.2017.07.111

    Article  PubMed  Google Scholar 

  13. C.K. Andrade, V.E. Anjos, M.L. Felsner, Y.R. Torres, S.P. Quináia, Food Chem. (2014). https://doi.org/10.1016/j.foodchem.2013.09.065

    Article  PubMed  Google Scholar 

  14. F.R. Amorim, E.A.N. Knupp, J.S.B. Silva, C.C. Nascentes, At. Spectrosc. (2016). https://doi.org/10.46770/AS.2016.06.006

    Article  Google Scholar 

  15. G.C. Brandao, D.P. Gomes, G.D. Matos, Food Anal. Methods (2012). https://doi.org/10.1007/s12161-011-9282-5

    Article  Google Scholar 

  16. A.C. Trindade, S.A. Araújo, F.A.C. Amorim, D.S. Silva, J.P.S. Alves, J.S. Trindade, R.M. Aguiar, M.A. Bezerra, Food Anal. Methods (2020). https://doi.org/10.1007/s12161-019-01578-5

    Article  Google Scholar 

  17. S.O. Souza, S.S.L. Costa, B.C.T. Brum, S.H. Santos, C.A.B. Garcia, R.G.O. Araujo, Food Chem. (2019). https://doi.org/10.1016/j.foodchem.2018.03.060

    Article  PubMed  Google Scholar 

  18. H. Cui, W. Guo, L. **, S. Hu, J. Anal. At. Spectrom. (2020). https://doi.org/10.1039/C9JA00340A

    Article  Google Scholar 

  19. R. Teuma-Castelletti, D. Beauchemin, J. Anal. At. Spectrom. (2020). https://doi.org/10.1039/D0JA00275E

    Article  Google Scholar 

  20. W.N.L. Santos, D.D. Cavalcante, S.M. Macedo, J.S. Nogueira, E.G. Silva, Food Anal. Method. (2013). https://doi.org/10.1007/s12161-012-9519-y

    Article  Google Scholar 

  21. M.L. Lin, S.J. Jiang, Food Chem. (2013). https://doi.org/10.1016/j.foodchem.2013.04.105

    Article  PubMed  PubMed Central  Google Scholar 

  22. M. Asik, U. Ay, Fresen. Environ. Bull. 29, 6591 (2020)

    CAS  Google Scholar 

  23. H.A. Ergül, T. Varol, Ü. Ay, Mar. Pollut. Bull. (2013). https://doi.org/10.1016/j.marpolbul.2013.05.018

    Article  PubMed  Google Scholar 

  24. D. Bingöl, Ü. Ay, S.K. Bozbaş, N. Uzgören, Mar. Pollut. Bull. (2013). https://doi.org/10.1016/j.marpolbul.2012.12.006

    Article  PubMed  Google Scholar 

  25. Y. Kojuncu, J.M. Bundalesvka, Ü. Ay, K. Cundeva, T. Stafilov, G. Akçin, Sep. Sci. Technol. (2004). https://doi.org/10.1081/SS-200026751

    Article  Google Scholar 

  26. U.M.F.M. Cerqueira, M.A. Bezerra, S.L.C. Ferreira, R.J. Araujo, B.N. Silva, C.G. Novaes, Food Chem. (2021). https://doi.org/10.1016/j.foodchem.2021.130429

    Article  PubMed  Google Scholar 

  27. C.G. Novaes, R.T. Yamaki, V.F. Paula, B.B. Nascimento Júnior, J.A. Barreto, G.S. Valasques, M.A. Bezerra, Rev. Virtual Quím. (2017). https://doi.org/10.21577/1984-6835.20170070

    Article  Google Scholar 

  28. M.A. Bezerra, V.A. Lemos, C.G. Novaes, R.M. Jesus, H.R. Souza Filho, S.A. Araujo, J.P.S. Alves, Microchem J. (2020). https://doi.org/10.1016/j.microc.2019.104336

    Article  Google Scholar 

  29. M.A. Bezerra, J.T. Castro, R.C. Macedo, D.G. Silva, Anal. Chim. Acta. (2010). https://doi.org/10.1016/j.aca.2010.04.063

    Article  PubMed  Google Scholar 

  30. N.A. Al-Dhabi, Saudi. J. Biol. Sci. (2013). https://doi.org/10.1016/j.sjbs.2013.04.006

    Article  Google Scholar 

  31. M.V. Principe, I.S. Permigiani, M.C. Della Vedova, E. Petenatti, P. Pacheco, R.A. Gil, J. Pharm. Pharm. Res. 8, 422 (2020)

    CAS  Google Scholar 

  32. P. Rzymski, J. Budzulak, P. Niedzielski, P. Klimaszyk, J. Proch, L. Kozak, B. Poniedziałek, J. Appl. Physiol. (2019). https://doi.org/10.1007/s10811-018-1681-1

    Article  Google Scholar 

  33. B.D. Neher, S.M. Azcarate, J.M. Camiña, M. Savio, Food Chem. (2018). https://doi.org/10.1016/j.foodchem.2018.03.011

    Article  PubMed  Google Scholar 

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Acknowledgements

Authors acknowledge the financial support of the Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq. Grant Number 304582/2018-2) and Financiadora de Estudos e Projetos (FINEP).

Funding

This research was supported by the Brazilian National Research Council (CNPq) (Grant Number 310949/2021–1).

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Authors and Affiliations

  1. Departamento de Ciências e Tecnologias, Universidade Estadual do Sudoeste da Bahia, Campus de Jequié, Rua José Moreira Sobrinho s/n, Bahia, 45.206-190, Jequié, Brazil

    Uillian Mozart Ferreira Mata Cerqueira, Marcos Almeida Bezerra, Bruno Novaes Silva, Cleber Galvão Novaes, Erica Raina Venâncio Almeida & Sulene Alves Araújo

  2. Instituto de Química, Universidade Federal da Bahia, Rua Barão de Geremoabo s/n, Campus da Federação/Ondina, Bahia, 40.170-115, Salvador, Brazil

    Uillian Mozart Ferreira Mata Cerqueira

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  1. Uillian Mozart Ferreira Mata Cerqueira
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  2. Marcos Almeida Bezerra
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  3. Bruno Novaes Silva
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  4. Cleber Galvão Novaes
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Contributions

UMFMC: Conceptualization, experimental analysis, data analysis, and writing. MAB: Conceptualization, methodology, data analysis, writing, review, and editing. BNS: experimental analysis. CGN: data analysis, writing, review, and editing. ERVA: experimental analysis and writing. SAA: Data analysis, writing, review, and editing.

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Correspondence to Marcos Almeida Bezerra.

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Cerqueira, U.M.F.M., Bezerra, M.A., Silva, B.N. et al. Multivariate optimization of a method based on slurry sampling for determination of Fe, Mn and Zn in spirulina (Arthrospira sp.) samples. Food Measure 17, 5322–5329 (2023). https://doi.org/10.1007/s11694-023-02034-z

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  • DOI: https://doi.org/10.1007/s11694-023-02034-z

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