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

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 pol...

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Main Authors: Yakasai, Mohd Hafeez, Ibrahim, Karamba Kabiru, Yasid, Nur Adeela, Halmi, Mohd Izuan Effendi, Abdul Rahman, Mohd Fadhil, Abd. Shukor, Mohd. Yunus
Format: Article
Language:English
Published: Hibiscus Publisher 2016
Online Access:http://psasir.upm.edu.my/id/eprint/64019/1/Mathematical%20modelling%20of%20molybdenum%20reduction%20to%20Mo-blue%20by%20a%20cyanide-degrading%20bacterium.pdf
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spelling oai:psasir.upm.edu.my:64019 http://psasir.upm.edu.my/id/eprint/64019/ Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium Yakasai, Mohd Hafeez Ibrahim, Karamba Kabiru Yasid, Nur Adeela Halmi, Mohd Izuan Effendi Abdul Rahman, Mohd Fadhil Abd. Shukor, Mohd. Yunus 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. Hibiscus Publisher 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64019/1/Mathematical%20modelling%20of%20molybdenum%20reduction%20to%20Mo-blue%20by%20a%20cyanide-degrading%20bacterium.pdf Yakasai, Mohd Hafeez and Ibrahim, Karamba Kabiru and Yasid, Nur Adeela and Halmi, Mohd Izuan Effendi and Abdul Rahman, Mohd Fadhil and Abd. Shukor, Mohd. Yunus (2016) Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium. Bioremediation Science and Technology Research, 4 (2). pp. 1-5. ISSN 2289-5892 https://journal.hibiscuspublisher.com/index.php/BSTR/article/view/368
institution UPM IR
collection UPM IR
language English
description 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.
format Article
author Yakasai, Mohd Hafeez
Ibrahim, Karamba Kabiru
Yasid, Nur Adeela
Halmi, Mohd Izuan Effendi
Abdul Rahman, Mohd Fadhil
Abd. Shukor, Mohd. Yunus
spellingShingle Yakasai, Mohd Hafeez
Ibrahim, Karamba Kabiru
Yasid, Nur Adeela
Halmi, Mohd Izuan Effendi
Abdul Rahman, Mohd Fadhil
Abd. Shukor, Mohd. Yunus
Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium
author_facet Yakasai, Mohd Hafeez
Ibrahim, Karamba Kabiru
Yasid, Nur Adeela
Halmi, Mohd Izuan Effendi
Abdul Rahman, Mohd Fadhil
Abd. Shukor, Mohd. Yunus
author_sort Yakasai, Mohd Hafeez
title Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium
title_short Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium
title_full Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium
title_fullStr Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium
title_full_unstemmed Mathematical modelling of molybdenum reduction to Mo-blue by a cyanide-degrading bacterium
title_sort mathematical modelling of molybdenum reduction to mo-blue by a cyanide-degrading bacterium
publisher Hibiscus Publisher
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/64019/1/Mathematical%20modelling%20of%20molybdenum%20reduction%20to%20Mo-blue%20by%20a%20cyanide-degrading%20bacterium.pdf
_version_ 1782756626665570304
score 12.935284

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