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Cited by 426

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Selection of slow growing organisms as a means for improving aerobic granular sludge stability

de Kreuk, M.K., van Loosdrecht, M.C.M.·2004·Water Science and Technology

Abstract

Recently, several groups have showed the occurrence of aerobic granular sludge. The excellent settling characteristics of aerobic granular sludge allow the design of very compact wastewater treatment plants. In laboratory experiments, high oxygen concentrations were needed to obtain stable granulation. However, in order to obtain energy efficient aeration and good denitrification low oxygen concentrations would be required. From earlier research on biofilm morphology, it was learned that slow growing organisms influence the density and stability of biofilms positively. To decrease the growth rate of the organisms in the aerobic granules, easily degradable substrate (e.g. acetate) has to be converted to slowly degradable COD like microbial storage polymers (e.g. PHA). Phosphate or glycogen accumulating bacteria perform this conversion step most efficiently. In this paper it is shown that the selection of such bacteria in aerobic granules indeed led to stable granular sludge, even at low oxygen concentrations.

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Crossref · 10.2166/wst.2004.0792

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Metadata

Authors
de Kreuk, M. K., & van Loosdrecht, M. C. M.
Venue
Water Science and Technology
Published
2004-06-01
Volume
49
Issue
11-12
Pages
9-17
ISSN
  • 0273-1223 (ISSN-L)
  • 1996-9732
OpenAlex
W2334643937
Cited by
426
References
9
FWCI
12.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Selection of slow growing organisms as a means for improving aerobic granular sludge stability. https://app.cochat.ai/papers/10.2166/wst.2004.0792
The paper
de Kreuk, M. K., & van Loosdrecht, M. C. M. (2004). Selection of slow growing organisms as a means for improving aerobic granular sludge stability. Water Science and Technology. https://doi.org/10.2166/wst.2004.0792

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.