The raw rice husk (RRH) was used as a low cost adsorbent to remove three oil compounds with different viscosities (crude oil, engine oil and spent engine oil) from an aqueous environment. Some of the sorbent specifications were characterized using a CHNSO analyzer, Fourier transform infrared, scanning electron microscope and inductively coupled plasma spectroscopy. With decreasing RRH particles size, the oil adsorption percentage was reduced for crude, spent and engine oils from 50 to 30%, 65 to 20% and 70 to 0.01%, respectively. This was probably due to damage of the microcavities. The removal percentage by sorbent at optimized conditions was 88, 80 and 55% for engine, spent and crude oils, respectively, corresponding to their descending viscosity. The adsorption of crude and spent oils on rice husk followed the Freundlich isotherm model, while the adsorption of engine oil was fitted by the Langmuir model. The maximum adsorption capacity (qmax), calculated from the Langmuir model for the adsorption of engine oil on RRH, was 1,250 mg/g.
Skip Nav Destination
Article navigation
Research Article|
December 23 2013
Adsorption of crude and engine oils from water using raw rice husk
Zahra Razavi;
Zahra Razavi
1Department of Natural Resources, Isfahan University of Technology, Isfahan 8415683111, Iran
Search for other works by this author on:
Nourollah Mirghaffari;
1Department of Natural Resources, Isfahan University of Technology, Isfahan 8415683111, Iran
E-mail: [email protected]
Search for other works by this author on:
Behzad Rezaei
Behzad Rezaei
2Department of Chemistry, Isfahan University of Technology, Isfahan 8415683111, Iran
Search for other works by this author on:
Water Sci Technol (2014) 69 (5): 947–952.
Article history
Received:
August 19 2013
Accepted:
December 09 2013
Citation
Zahra Razavi, Nourollah Mirghaffari, Behzad Rezaei; Adsorption of crude and engine oils from water using raw rice husk. Water Sci Technol 1 March 2014; 69 (5): 947–952. doi: https://doi.org/10.2166/wst.2013.804
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.
eBook
Pay-Per-View Access
$38.00