MODELING THE L(+) LACTIC ACID PRODUCTION VIA R. ORYZAE NRRL 395 FERMENTATION ON BIODIESEL CRUDE GLYCEROL

Authors

  • Eva-Henrietta DULF Faculty of Automation and Computer Science, Technical University, Cluj-Napoca, Romania. Email: Eva.Dulf@aut.utcluj.ro. https://orcid.org/0000-0002-6540-6525
  • Dan Cristian VODNAR Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine (USAMV), Cluj-Napoca, Romania. Email: dan.vodnar@usamvcluj.ro. https://orcid.org/0000-0001-5407-8071
  • Francisc V. DULF Department of Environment and Plant Protection, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine (USAMV). Email: francisc_dulf@usamvcluj.ro. https://orcid.org/0000-0002-3207-7307

DOI:

https://doi.org/10.24193/subbchem.2019.2.01

Keywords:

biodiesel; crude glycerol; process optimization, mathematical model, fractional order model

Abstract

Similar to the petroleum industry, biodiesel industry generates unwanted by-products. Biodiesel production generate huge amount of crude glycerol - one part of glycerol is produced at every ten parts of biodiesel, and has a negative influence on the biodiesel price. A solution to reduce the negative environmental problems and the cost of biodiesel is to use crude glycerol as carbon source for microbial growth media in order to produce valuable organic chemicals. Recently, the research group from University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca developed sustainable opportunities for L (+) lactic acid production via R. oryzae NRRL 395 fermentation on biodiesel crude glycerol. The current research aims at improving the production of L-lactic acid using crude glycerol as substrate, immobilized spores and inhibited alcohol dehydrogenase of R. oryzae in discontinuous and semi continuous fermentation processes in order to make the process more efficient. According to several experimental dataset under different process parameters, multiple regression methods were employed to establish mathematical models for prediction of the L lactic acid production. Determination coefficient values states that predicted values were in good agreement with the experimental values. Introducing the fractional order in models lead to a good phenomenological description. The resulted models can be used both in optimization process and prediction instead of time and resource consuming experiments.

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Published

2019-06-03

How to Cite

DULF, E.-H. ., VODNAR, D. C. ., & DULF, F. V. . (2019). MODELING THE L(+) LACTIC ACID PRODUCTION VIA R. ORYZAE NRRL 395 FERMENTATION ON BIODIESEL CRUDE GLYCEROL. Studia Universitatis Babeș-Bolyai Chemia, 64(2), 11–21. https://doi.org/10.24193/subbchem.2019.2.01

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