Adsorption of Heavy Metals Contaminants in Used Lubricating Oil Using Palm Kernel and Coconut Shells Activated Carbons

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dc.contributor.authorOpoku, Boadu Kwasi
dc.contributor.authorFriday, Joel Ogbonna
dc.contributor.authorKofi, Essumang David
dc.date.accessioned2023-05-05T10:52:01Z
dc.date.available2023-05-05T10:52:01Z
dc.date.issued2020-03-10
dc.description.abstractAbstract: This research work investigated the adsorption of some heavy metals contaminants in used lubricating oil using chemically activated carbon adsorbents produced from palm kernel and coconut shells. The adsorption mechanism was able to remove some heavy metals such as zinc, chromium, cadmium and magnesium contaminants from the used lubricating oil to appreciable levels. For instance, zinc from initial concentrations of 16.475±0.950 ppm before to 10.375±0.171 ppm after filtration processes for used lubricating oil sample A. Also, for coconut shell from an initial concentration of 14.575±0.272 ppm to 5.450±0.3000 ppm after filtration processes. It was observed that the coconut shell activated carbons was effective in the removal of lead metals while palm kernel cannot. However, the activated carbons produced from palm kernel and coconut shells are not suitable for the removal of both copper and iron metals. For example, after the filtration process with the palm kernel shell activated carbon, the mean concentration of copper metal increases for virgin (C) 0.001± 0.000 to 0.075±0.013 ppm and used lubricating oil samples (A&B) from 0.150±0.008 to 0.400±0.018 ppm and from 0.220±0.096 to 0.230±0.008 ppm respectively. Also, in the case of the coconut shell activated carbon, the mean concentration of copper in virgin lubricating oil remains the same 0.001±0.000 whereas for used lubricating oils samples (i.e. A&B) it increases from 0.150±0.008 to 0.780±0.014 and from 0.220±0.096 to 0.790±0.026 respectively. Also, the equilibrium adsorption data were analysed using the Langmuir isotherm model. The fit of this isotherm model to the equilibrium adsorption data was determined, using the linear coefficient of correlation (R2). The following R2 values were obtained; Copper (0.8185), Cadmium (0.8347), Lead (0.9349), Chromium (0.9378), Iron (0.9927), Zinc (0.9953), and Magnesium (0.9997) respectively. From the results obtained and statistics point of view, it can be concluded that the Langmuir model shows a better fit due to the high coefficient of correlation (R2 ≈ 1). The recovered oil could be also re-used.en_US
dc.description.sponsorshipACE: Training, Research and Expertise in Drug Sciencesen_US
dc.identifier.citationBoadu Kwasi Opoku, Joel Ogbonna Friday, Essumang David Kofi, Evbuomwan Benson Osa. Adsorption of Heavy Metals Contaminants in Used Lubricating Oil Using Palm Kernel and Coconut Shells Activated Carbons. American Journal of Chemical Engineering. Vol. 8, No. 1, 2020, pp. 11-18. doi: 10.11648/j.ajche.20200801.13en_US
dc.identifier.issn2330-8605
dc.identifier.issn2330-8613
dc.identifier.urihttp://hdl.handle.net/123456789/1714
dc.language.isoenen_US
dc.relation.ispartofseriesAmerican Journal of Chemical Engineering;2020; 8(1): 11-18
dc.subjectActivated Carbonsen_US
dc.subjectHeavy Metalsen_US
dc.subjectContaminantsen_US
dc.subjectUsed Lubricating Oilsen_US
dc.subjectAdsorptionen_US
dc.subjectLangmuir Isotherm Modelen_US
dc.subjectCorrelation Co-efficienten_US
dc.subjectEvbuomwan Benson Osaen_US
dc.subjectUniversité de Ouagaen_US
dc.subjectCFOREMen_US
dc.subjectACE: Training, Research and Expertise in Drug Sciencesen_US
dc.titleAdsorption of Heavy Metals Contaminants in Used Lubricating Oil Using Palm Kernel and Coconut Shells Activated Carbonsen_US
dc.typeArticleen_US
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