E
E.B. Gueguim Kana
Researcher at University of KwaZulu-Natal
Publications - 50
Citations - 1554
E.B. Gueguim Kana is an academic researcher from University of KwaZulu-Natal. The author has contributed to research in topics: Biohydrogen & Dark fermentation. The author has an hindex of 21, co-authored 40 publications receiving 1108 citations. Previous affiliations of E.B. Gueguim Kana include Ladoke Akintola University of Technology.
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Keratinolytic activities of a new feather-degrading isolate of Bacillus cereus LAU 08 isolated from Nigerian soil
TL;DR: The isolate of B. cereus LAU 08 was able to completely degrade a whole chicken feather within a period of 7 days at room temperature (30 ± 2 °C) and is therefore a promising strain for the management of chicken feather waste through biotechnological processes.
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Microwave-assisted inorganic salt pretreatment of sugarcane leaf waste: Effect on physiochemical structure and enzymatic saccharification
TL;DR: In this paper, a method to pretreat sugarcane leaf waste using microwave-assisted (MA) inorganic salt to enhance enzymatic saccharification was presented. But, the results showed that the results were limited.
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Optimized activated charcoal detoxification of acid-pretreated lignocellulosic substrate and assessment for bioethanol production.
TL;DR: The experimental data generated from this study revealed that a suitable, cost-effective AC detoxification enhanced cell growth and bioethanol production efficiency, paving the way for biomass pretreatment, detoxification and bioETHanol process development using lignocellulosic wastes.
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Development of a steam or microwave-assisted sequential salt-alkali pretreatment for lignocellulosic waste: Effect on delignification and enzymatic hydrolysis
TL;DR: In this article, two different sequential pretreatments for sugarcane leaf waste (SLW): steam salt-alkali (SSA) and microwave saltalkalization (MSA) were modelled, optimized and validated with R2 < 0.97.
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Comparative Assessment of the Artificial Neural Network and Response Surface Modelling Efficiencies for Biohydrogen Production on Sugar Cane Molasses
J. K. Whiteman,E.B. Gueguim Kana +1 more
TL;DR: In this paper, the authors evaluate the modelling efficiency of the Response Surface Methodology (RSM) and the Artificial Neural Network (ANN) for bio-hydrogen fermentation data.