Influence of pH and natural organic matter on zinc biosorption in a model lignocellulosic biofuel biorefinery effluent
•Zn biosorption was tested in a biorefinery wastewater rich with organic matter.•Effects of pH and NOM were first characterized in batch culture.•Zn removal in membrane bioreactors at pH 6.5 and 8 was 26% and 91%, respectively.•Natural organic matter inhibited Zn removal.•pH manipulation dramaticall...
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Published in | Bioresource technology Vol. 146; pp. 169 - 175 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
01.10.2013
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | •Zn biosorption was tested in a biorefinery wastewater rich with organic matter.•Effects of pH and NOM were first characterized in batch culture.•Zn removal in membrane bioreactors at pH 6.5 and 8 was 26% and 91%, respectively.•Natural organic matter inhibited Zn removal.•pH manipulation dramatically increased Zn removal.
The effect of dissolved natural organic matter (NOM) and pH on microbial biosorption of Zn was evaluated in a model lignocellulosic biofuel refinery effluent rich in NOM. Batch culture experiments conducted with two model microorganisms (yeast, Candida tropicalis; bacteria Novosphingobium nitrogenifigens Y88T), showed an inhibitory effect of NOM, and an optimum pH for Zn removal at 7.5–8.0. Membrane bioreactors with mixed autochthonous organisms were operated at pH 6.5 and pH 8.0 to better simulate real-world remediation scenarios. More Zn was removed at the high (91%) than at the low (26%) pH, presumably because the higher pH freed negatively-charged functional groups on the cellular biomass for passive Zn binding. Manipulating the pH of bioreactors can significantly improve metal removal in NOM rich wastewater. Such reactors could maintain water quality for closed-cycle biorefineries, leading to reduced water consumption, and a more sustainable biofuel. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2013.07.053 |