z-logo
open-access-imgOpen Access
Adsorption of Heavy Metals Contaminants in Used Lubricating Oil Using Palm Kernel and Coconut Shells Activated Carbons
Author(s) -
Boadu Kwasi Opoku,
Joel Ogbonna Friday,
Essumang David Kofi,
Evbuomwan Benson Osa
Publication year - 2020
Publication title -
american journal of chemical engineering
Language(s) - English
Resource type - Journals
eISSN - 2330-8613
pISSN - 2330-8605
DOI - 10.11648/j.ajche.20200801.13
Subject(s) - palm kernel , activated carbon , adsorption , cadmium , zinc , filtration (mathematics) , chemistry , copper , chromium , carbon fibers , nuclear chemistry , palm kernel oil , coconut oil , metallurgy , palm oil , materials science , organic chemistry , composite number , composite material , food science , statistics , mathematics
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 (AB 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom