Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB

We present the details of a numerical model, BIOB that is capable of simulating the biodegradation of oil entrapped in the sediment. The model uses Monod kinetics to simulate the growth of bacteria in the presence of nutrients and the subsequent consumption of hydrocarbons. The model was used to sim...

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Published in:Frontiers in Microbiology
Main Authors: Jagadish eTorlapati, Michel eBoufadel
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2014
Subjects:
Online Access:https://doi.org/10.3389/fmicb.2014.00212
https://doaj.org/article/da740d4dc32346b6897cf88529df1f72
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spelling ftdoajarticles:oai:doaj.org/article:da740d4dc32346b6897cf88529df1f72 2023-05-15T13:09:12+02:00 Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB Jagadish eTorlapati Michel eBoufadel 2014-05-01T00:00:00Z https://doi.org/10.3389/fmicb.2014.00212 https://doaj.org/article/da740d4dc32346b6897cf88529df1f72 EN eng Frontiers Media S.A. http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00212/full https://doaj.org/toc/1664-302X 1664-302X doi:10.3389/fmicb.2014.00212 https://doaj.org/article/da740d4dc32346b6897cf88529df1f72 Frontiers in Microbiology, Vol 5 (2014) Biodegradation oil spill Numerical modeling shoreline contamination Monod kinetics Microbiology QR1-502 article 2014 ftdoajarticles https://doi.org/10.3389/fmicb.2014.00212 2022-12-30T22:41:08Z We present the details of a numerical model, BIOB that is capable of simulating the biodegradation of oil entrapped in the sediment. The model uses Monod kinetics to simulate the growth of bacteria in the presence of nutrients and the subsequent consumption of hydrocarbons. The model was used to simulate experimental results of Exxon Valdez oil biodegradation in laboratory columns (Venosa et al. (2010)). In that study, samples were collected from three different islands: Eleanor Island (EL107), Knight Island (KN114A), and Smith Island (SM006B), and placed in laboratory microcosms for a duration of 168 days to investigate oil bioremediation through natural attenuation and nutrient amendment. The kinetic parameters of the BIOB model were estimated by fitting to the experimental data using a parameter estimation tool based on Genetic Algorithms (GA). The parameter values of EL107 and KN114A were similar whereas those of SM006B were different from the two other sites; in particular biomass growth at SM006B was four times slower than at the other two islands. Grain size analysis from each site revealed that the specific surface area per unit mass of sediment was considerably lower at SM006B, which suggest that the surface area of sediments is a key control parameter for microbial growth in sediments. Comparison of the BIOB results with exponential decay curves fitted to the data indicated that BIOB provided better fit for KN114A and SM006B in nutrient amended treatments, and for EL107 and KN114A in natural attenuation. In particular, BIOB was able to capture the initial slow biodegradation due to the lag phase in microbial growth. Sensitivity analyses revealed that oil biodegradation at all three locations were sensitive to nutrient concentration whereas SM006B was sensitive to initial biomass concentration due to its slow growth rate. Analyses were also performed to compare the half-lives of individual compounds with the decay rate of the overall PAH. Article in Journal/Newspaper Alaska North Slope Knight Island north slope Smith Island Alaska Directory of Open Access Journals: DOAJ Articles Smith Island ENVELOPE(-62.520,-62.520,-62.981,-62.981) Knight Island ENVELOPE(-64.010,-64.010,-64.916,-64.916) Frontiers in Microbiology 5
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Biodegradation
oil spill
Numerical modeling
shoreline contamination
Monod kinetics
Microbiology
QR1-502
spellingShingle Biodegradation
oil spill
Numerical modeling
shoreline contamination
Monod kinetics
Microbiology
QR1-502
Jagadish eTorlapati
Michel eBoufadel
Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
topic_facet Biodegradation
oil spill
Numerical modeling
shoreline contamination
Monod kinetics
Microbiology
QR1-502
description We present the details of a numerical model, BIOB that is capable of simulating the biodegradation of oil entrapped in the sediment. The model uses Monod kinetics to simulate the growth of bacteria in the presence of nutrients and the subsequent consumption of hydrocarbons. The model was used to simulate experimental results of Exxon Valdez oil biodegradation in laboratory columns (Venosa et al. (2010)). In that study, samples were collected from three different islands: Eleanor Island (EL107), Knight Island (KN114A), and Smith Island (SM006B), and placed in laboratory microcosms for a duration of 168 days to investigate oil bioremediation through natural attenuation and nutrient amendment. The kinetic parameters of the BIOB model were estimated by fitting to the experimental data using a parameter estimation tool based on Genetic Algorithms (GA). The parameter values of EL107 and KN114A were similar whereas those of SM006B were different from the two other sites; in particular biomass growth at SM006B was four times slower than at the other two islands. Grain size analysis from each site revealed that the specific surface area per unit mass of sediment was considerably lower at SM006B, which suggest that the surface area of sediments is a key control parameter for microbial growth in sediments. Comparison of the BIOB results with exponential decay curves fitted to the data indicated that BIOB provided better fit for KN114A and SM006B in nutrient amended treatments, and for EL107 and KN114A in natural attenuation. In particular, BIOB was able to capture the initial slow biodegradation due to the lag phase in microbial growth. Sensitivity analyses revealed that oil biodegradation at all three locations were sensitive to nutrient concentration whereas SM006B was sensitive to initial biomass concentration due to its slow growth rate. Analyses were also performed to compare the half-lives of individual compounds with the decay rate of the overall PAH.
format Article in Journal/Newspaper
author Jagadish eTorlapati
Michel eBoufadel
author_facet Jagadish eTorlapati
Michel eBoufadel
author_sort Jagadish eTorlapati
title Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
title_short Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
title_full Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
title_fullStr Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
title_full_unstemmed Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
title_sort evaluation of the biodegradation of alaska north slope oil in microcosms using the biodegradation model biob
publisher Frontiers Media S.A.
publishDate 2014
url https://doi.org/10.3389/fmicb.2014.00212
https://doaj.org/article/da740d4dc32346b6897cf88529df1f72
long_lat ENVELOPE(-62.520,-62.520,-62.981,-62.981)
ENVELOPE(-64.010,-64.010,-64.916,-64.916)
geographic Smith Island
Knight Island
geographic_facet Smith Island
Knight Island
genre Alaska North Slope
Knight Island
north slope
Smith Island
Alaska
genre_facet Alaska North Slope
Knight Island
north slope
Smith Island
Alaska
op_source Frontiers in Microbiology, Vol 5 (2014)
op_relation http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00212/full
https://doaj.org/toc/1664-302X
1664-302X
doi:10.3389/fmicb.2014.00212
https://doaj.org/article/da740d4dc32346b6897cf88529df1f72
op_doi https://doi.org/10.3389/fmicb.2014.00212
container_title Frontiers in Microbiology
container_volume 5
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