Mathematical modelling of molybdenum reduction to mo-blue by a cyanide-degrading bacterium

  • Mohd Hafeez Yakasai Department of Biochemistry, Faculty of Basic Medical Sciences, Collage of Health Science, Bayero University Kano, P. M. B 3011, Kano-Nigeria.
  • Kabiru Karamba Ibrahim Department of Biochemistry, Faculty of Basic Medical Sciences, Collage of Health Science, Bayero University Kano, P. M. B 3011, Kano-Nigeria.
  • Nur Adeela Yasid Dept of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
  • Mohd Izuan Effendi Halmi Department of Land Management, Faculty of Agriculture, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.
  • Mohd Fadhil Abd Rahman Dept of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
  • Mohd Yunus Shukor Dept of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.

Abstract

Molybdenum, an emerging pollutant, has being demonstrated recently to be toxic to spermatogenesis in several animal model systems. Metal mines especially gold mine often use cyanide and hence isolation of metal-reducing and cyanide-degrading bacteria can be useful for the bioremediation of these pollutants. Preliminary screening shows that three cyanide-degrading bacteria were able to reduce molybdenum to molybdenum blue (Mo-blue) when grown on a molybdate low phosphate minimal salts media. Phylogenetic analyses of the 16S rRNA gene of the best reducer indicates that it belongs to the Serratia genus. A variety of mathematical models such as logistic, Gompertz, Richards, Schnute, Baranyi-Roberts, von Bertalanffy, Buchanan three-phase and Huang were used to model molybdenum reduction, and the best model based on statistical analysis was modified Gompertz with lowest values for RMSE and AICc, highest adjusted R2 values, with Bias Factor and Accuracy Factor nearest to unity (1.0). The reduction constants obtained from the model will be used to carry out secondary modelling to study the effect of various parameters such as substrate, pH and temperature to molybdenum reduction.
Published
2016-12-31
How to Cite
YAKASAI, Mohd Hafeez et al. Mathematical modelling of molybdenum reduction to mo-blue by a cyanide-degrading bacterium. Bioremediation Science and Technology Research, [S.l.], v. 4, n. 2, p. 1-5, dec. 2016. ISSN 2289-5892. Available at: <http://journal.hibiscuspublisher.com/index.php/BSTR/article/view/368>. Date accessed: 21 sep. 2018.
Section
Articles