Biological sulphide removal from anaerobically treated domestic sewage: reactor performance and microbial community dynamics

Environmental Technology
Graziella Patrício Pereira GarciaJuliana Calabria de Araujo

Abstract

We developed a biological sulphide oxidation system and evaluated two reactors (shaped similar to the settler compartment of an up-flow anaerobic sludge blanket [UASB] reactor) with different support materials for biomass retention: polypropylene rings and polyurethane foam. The start-up reaction was achieved using microorganisms naturally occurring on the open surface of UASB reactors treating domestic wastewater. Sulphide removal efficiencies of 65% and 90% were achieved with hydraulic retention times (HRTs) of 24 and 12 h, respectively, in both reactors. However, a higher amount of elemental sulphur was formed and accumulated in the biomass from reactor 1 (20 mg S(0) g(-1) VTS) than in that from reactor 2 (2.9 mg S(0) g(-1) VTS) with an HRT of 24 h. Denaturing gradient gel electrophoresis (DGGE) results revealed that the the pink and green biomass that developed in both reactors comprised a diverse bacterial community and had sequences related to phototrophic green and purple-sulphur bacteria such as Chlorobium sp., Chloronema giganteum, and Chromatiaceae. DGGE band patterns also demonstrated that bacterial community was dynamic over time within the same reactor and that different support materials selected for distinct bact...Continue Reading

References

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Citations

Jun 29, 2016·Environmental Technology·José Tavares de SousaWilton Silva Lopes
Apr 13, 2017·Water Science and Technology : a Journal of the International Association on Water Pollution Research·T Bressani-RibeiroC A L Chernicharo
Oct 10, 2019·Water Science and Technology : a Journal of the International Association on Water Pollution Research·T Bressani-RibeiroC A L Chernicharo
Jul 16, 2020·Water Science and Technology : a Journal of the International Association on Water Pollution Research·C S CabralJ C Araújo

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Datasets Mentioned

BETA
AB896675
KF206381
EF123634
FJ821616
KC492099
FJ210722
KF717046.1

Methods Mentioned

BETA
scanning
X-ray
electrophoresis
PCR

Software Mentioned

Bionumerics
Statistica
Basic Local Alignment Search Tool

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