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dc.contributor.authorMohajeri, Parsaen
dc.contributor.authorSelamat, M. R.en
dc.contributor.authorAbdul Aziz, H.en
dc.contributor.authorSmith, Carolen
dc.identifier.citationMohajeri, P., Selamat, M.R., Aziz, H.A., & Smith, C. (2018). Removal of COD and ammonia nitrogen by a sawdust/bentonite-augmented SBR process. Clean Technologies, 1(1), 125-140. doi:10.3390/cleantechnol1010009en
dc.description.abstractWater pollutant removal by biomass adsorbent has been considered innovative and cost-effective, and thus commendable for application in industry. However, certain important aspects have been overlooked by researchers, namely the efficiency in the operation time and pollutant removal. In this research, landfill leachate samples with organic components were treated using a bentonite-enriched sawdust-augmented sequencing batch reactor (SBR) process. By modifying the pH, the sawdust samples were categorized into three groups: the acidic, the alkaline, and the neutral. To bentonite samples, the pH-adjusted sawdust was added at 10%, 20%, and 30% amounts by mass, respectively. At the optimum aeration rate of 7.5 L/min and contact period of 22 h, the treatment achieved 99.28% and 95.41% removal of chemical oxygen demand (COD) and NH₃-N with bentonite, respectively. For both pollutants, in the presence of sawdust, the removal was only reduced by about 17% with the contact period reduced to 2 h, which was a considerable achievement.en
dc.relationThe original publication is available from - MDPI - -
dc.rights© 2018 by the authorsen
dc.rightsAttribution 4.0 International*
dc.subjectammonia nitrogenen
dc.subjectchemical oxygen demand (COD)en
dc.subjectresponse surface methodology (RSM)en
dc.subjectsequencing batch reactor (SBR)en
dc.titleRemoval of COD and ammonia nitrogen by a sawdust/bentonite-augmented SBR processen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Agriculture and Life Sciencesen
lu.contributor.unitDepartment of Soil and Physical Sciencesen
dc.subject.anzsrc050205 Environmental Managementen
dc.subject.anzsrc050204 Environmental Impact Assessmenten
dc.subject.anzsrc0502 Environmental Science and Managementen
dc.relation.isPartOfClean Technologiesen
pubs.notesA Preprint version of this peer-reviewed article exists and was first published online 6 Aug 2018 - see 10.20944/preprints201808.0103.v1 and
pubs.organisational-group/LU/Agriculture and Life Sciences
pubs.organisational-group/LU/Agriculture and Life Sciences/SOILS
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/PE20
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusPublished onlineen

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