eprintid: 2211
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/22/11
datestamp: 2023-11-09 15:50:24
lastmod: 2023-11-09 15:50:25
status_changed: 2023-11-09 15:42:15
type: article
metadata_visibility: show
creators_name: Mohajeri, L.
creators_name: Aziz, H.A.
creators_name: Zahed, M.A.
creators_name: Mohajeri, S.
creators_name: Kutty, S.R.M.
creators_name: Isa, M.H.
title: Response surface analysis and modeling of n-alkanes removal through bioremediation of weathered crude oil
ispublished: pub
keywords: Bio-augmentation; Biostimulation; Central composite designs; Coastal sediments; F values; n-Alkanes; Natural attenuation; Nutrients concentrations; Oil concentration; Optimized conditions; Petroleum; Regression model; Response surface analysis; Response Surface Methodology; Weathered crude oil, Anoxic sediments; Biodegradation; Bioremediation; Biotechnology; Crude oil; Degradation; Microbiology; Nitrogen removal; Nutrients; Optimization; Organic compounds; Phosphorus; Pollution; Regression analysis; Sedimentology; Surface analysis; Surface properties, Paraffins, alkane; nitrogen; petroleum; phosphorus, alkane; bacterium; biodegradation; bioreactor; bioremediation; coastal sediment; crude oil; nitrogen; optimization; phosphorus; regression analysis, article; attenuation; bacterium; bioreactor; bioremediation; concentration (parameters); controlled study; inoculation; nutrient; probability; response surface method; sediment; surface property; waste component removal, Alkanes; Biodegradation, Environmental; Bioreactors; Environmental Pollutants; Geologic Sediments; Models, Statistical; Nitrogen; Oils; Petroleum; Phosphorus; Regression Analysis, Bacteria (microorganisms)
note: cited By 8
abstract: Central composite design (CCD) and response surface methodology (RSM) were employed to optimize four important variables, i.e. amounts of oil, bacterial inoculum, nitrogen and phosphorus, for the removal of selected n-alkanes during bioremediation of weathered crude oil in coastal sediments using laboratory bioreactors over a 60 day experimentation period. The reactors contained 1 kg soil with different oil, microorganisms and nutrients concentrations. The F Value of 26.89 and the probability value (P < 0.0001) demonstrated significance of the regression model. For crude oil concentration of 2, 16 and 30 g per kg sediments and under optimized conditions, n-alkanes removal was 97.38, 93.14 and 90.21 respectively. Natural attenuation removed 30.07, 25.92 and 23.09 n-alkanes from 2, 16 and 30 g oil/kg sediments respectively. Excessive nutrients addition was found to inhibit bioremediation. © IWA Publishing 2011.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953182397&doi=10.2166%2fwst.2011.211&partnerID=40&md5=07de2c3d6339897e56abf9eacd4eba02
id_number: 10.2166/wst.2011.211
full_text_status: none
publication: Water Science and Technology
volume: 63
number: 4
pagerange: 618-626
refereed: TRUE
issn: 02731223
citation:   Mohajeri, L. and Aziz, H.A. and Zahed, M.A. and Mohajeri, S. and Kutty, S.R.M. and Isa, M.H.  (2011) Response surface analysis and modeling of n-alkanes removal through bioremediation of weathered crude oil.  Water Science and Technology, 63 (4).  pp. 618-626.  ISSN 02731223