The DOI matches its Crossref record.
Effect of nitrifiers community on fouling mitigation and nitrification efficiency in a membrane bioreactor
Abstract
Abstract Membrane fouling in membrane bioreactors (MBR) normally depends on the microbial cell density and microbial population structure. A nitrifying-enriched activated sludge (NAS) was obtained in this study through particular ammonium feeding of conventional activated sludge (CAS). Next, the dominance of autotrophic nitrifier population in NAS system was checked and compared with CAS system by its high nitrification efficiency (100% vs. 43%) and low COD removal (9% vs. 65%). Furthermore, the maximum amount of N-NO3− produced from similar concentrations of ammonium in CAS and NAS systems were 6.6 mg/L and 37.5 mg/L, respectively. A filterability test also was done in the cross-flow and simple dead-end filtration systems proportionally employing different amount of NAS and CAS with a constant MLSS concentration of 2000 mg/L. NAS was twice as filterable compared to CAS. Soluble microbial products (SMP) and extracellular polymeric substance (EPS) in CAS were significantly higher than NAS system (2 and 6 mg/L for NAS vs.100 and 36 mg/L for CAS). By increasing the proportion of nitrifying bacteria, the permeation was enhanced remarkably about 2.5 folds and the operation time of MBR was approximately doubled (6–11.5 h). The results indicated that an appropriate C/N ratio can control the microbial population and help the nitrifier significantly mitigate fouling in MBR.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Preparation, modification and environmental application of biochar: A review
Wang, J., & Wang, S. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.04.282 · Cited by 2,345
A survey on smart grid technologies and applications
Dileep, G. (2020) · Renewable Energy · doi:10.1016/j.renene.2019.08.092 · Cited by 1,020
Interactions of microalgae-bacteria consortia for nutrient removal from wastewater: A review
Fallahi, A., Rezvani, F., Asgharnejad, H., Khorshidi Nazloo, E., Hajinajaf, N., & Higgins, B. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.129878 · Cited by 404
Zhang, Q., Song, Y., Wu, Z., Yan, X., Gunina, A., Kuzyakov, Y., & Xiong, Z. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118435 · Cited by 383
Suparmaniam, U., Lam, M. K., Uemura, Y., Lim, J. W., Lee, K. T., & Shuit, S. H. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109361 · Cited by 344
Metadata
- Authors
- Sepehri, A., & Sarrafzadeh, M.-H.
- Venue
- Chemical Engineering and Processing - Process Intensification
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 128
- Pages
- 10-18
- ISSN
- 0255-2701 (ISSN-L)
- OpenAlex
- W2795923929
- Cited by
- 1,108
- References
- 0
- FWCI
- 63.12
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effect of nitrifiers community on fouling mitigation and nitrification efficiency in a membrane bioreactor. https://app.cochat.ai/papers/10.1016/j.cep.2018.04.006
- The paper
- Sepehri, A., & Sarrafzadeh, M.-H. (2018). Effect of nitrifiers community on fouling mitigation and nitrification efficiency in a membrane bioreactor. Chemical Engineering and Processing - Process Intensification. https://doi.org/10.1016/j.cep.2018.04.006
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.