Dataset accompanying "Modelling anaerobic sulfide removal by sulfide shuttling bacteria"

doi:10.4121/a4c30b77-29e9-4249-ba42-ff2ec848e0d6.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/a4c30b77-29e9-4249-ba42-ff2ec848e0d6
Datacite citation style:
Bergman, Joris; Linssen, Rikke; Mol, Annemerel; A. (Annemiek) ter Heijne; Keesman, Karel (2024): Dataset accompanying "Modelling anaerobic sulfide removal by sulfide shuttling bacteria". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a4c30b77-29e9-4249-ba42-ff2ec848e0d6.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

In anaerobic conditions, haloalkaline sulphide oxidising bacteria (SOB) are able to spatially separate sulphide removal and oxygen consumption, thereby shuttling sulphide from sulphidic to aerobic environments. How SOB anaerobically remove sulphide is not yet fully understood. To further describe sulphide shuttling, anaerobic sulphide removal experiments were performed at different pH from 7.5 to 10. SOB were isolated from bioreactor effluent of a pilot-scale desulphurisation setup, resuspended in 1 M bicarbonate buffer, made anaerobic by flushing with nitrogen gas, and fed 0.35 mM sulphide. For half an hour, the sulphide concentration was measured periodically. Using this dataset, the related publication shows the use of mathematical models to describe anaerobic sulphide removal and its dependency on pH. 

history
  • 2024-08-12 first online, published, posted
publisher
4TU.ResearchData
format
.xlsx
funding
  • (grant code 17516)
organizations
Wetsus, European Centre of Excellence for Sustainable Water Technology;
Environmental Technology, Wageningen University & Research;
Mathematical and Statistical Methods (Biometris), Wageningen University & Research

DATA

files (3)