@inproceedings{4522016018d046deac48fa4890935534,
title = "Optimizing the bioremediation of free cyanide containing wastewater by Fusarium oxysporum grown on beetroot waste using response surface methodology",
abstract = "This work reports the use of a cyanide resistant fungus Fusarium oxysporum for the bioremediation of wastewater containing free cyanide, its preference for beetroot agro-waste as the primary carbon source, and the optimization of the free cyanide (CN∼) bioremediation conditions using statistical modelling of response surface methodology (RSM). Higher growth rate of F. oxysporum was observed on beetroot waste (OD = 3.430) compared to glucose (OD = 1.953). The cultures highest free cyanide biodegraded was 180.9 mg CN7L from an initial 300 mg CN7L after 72 h at 25°C, pH of 12.70, and substrate concentration of 300 mg/L. The ANOVA of the quadratic model indicated the model obtained is highly significant (R2 = 0.9240). The response from the central composite design (CCD) indicated that temperature and substrate concentration are significant factors affecting the CN{"} biodegradation. The fungus growth on cheap agro-waste would ensure economic sustainability of free cyanide biodegradation system in environmental engineering applications. This study provides a platform for further research on the thermodynamics of CN{"} biodegradation.",
keywords = "Beetroot, Cyanide, Fusarium oxysporum, Response surface methodology, Wastewater",
author = "Akinpelu, {Enoch Akinbiyi} and Ntwampe, {Seteno Karabo Obed} and Lukhanyo Mekuto and Tombo, {Elie Fereche Itoba}",
year = "2016",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "664--670",
editor = "Grundfest, {Warren S.} and Craig Douglas and Ao, {S. I.}",
booktitle = "WCECS 2016 - World Congress on Engineering and Computer Science 2016",
note = "2016 World Congress on Engineering and Computer Science, WCECS 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
}
