The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Partial denitrification providing nitrite: Opportunities of extending application for anammox
Open accessAbstract
Anaerobic ammonium oxidation (anammox) has been extensively investigated for cost-efficient nitrogen removal from wastewater. However, the major issues of nitrate (NO 3 − -N) residue and instability in the current combination of nitritation and anammox process necessitates being addressed efficiently. The recently proposed partial-denitrification (PD), terminating NO 3 − -N reduction to nitrite (NO 2 − -N), has been regarded as a promising alternative of NO 2 − -N supplying for anammox bacteria. Given the engineering practices, the steadily high NO 2 − -N production, alleviating organic inhibition, and reducing greenhouse gas of PD process offers a viable and efficient approach for anammox implementation. Moreover, it allows for the extending applications of anammox process due to the NO 3 − -N removal availability. Here we comprehensively review the important new outcomes and discuss the emerging applications of PD-based anammox including the process development, mechanism understanding, and future trends. Significant greater stability and enhanced nitrogen removal efficiency have been demonstrated in the novel integrations of PD and anammox process, indicating a broad perspective in dealing with the mainstream municipal sewage, ammonia-rich streams, and industrial NO 3 − -N contained wastewater. Furthermore, researches are still needed for the predictable and controllable strategies, along with the detailed microbiological information in future study. Overall, the achievement of PD process provides unique opportunity catalyzing the engineering applications of energy-efficient and environmental-friendly wastewater treatment via anammox technology.
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Cites
Cell biology and molecular basis of denitrification.
Zumft, W. G. (1997) · Microbiology and molecular biology reviews : MMBR · doi:10.1128/.61.4.533-616.1997 · Cited by 3,471
Anammox bacteria: from discovery to application
Kuenen, J. G. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1857 · Cited by 1,147
The sharon process: An innovative method for nitrogen removal from ammonium-rich waste water
(1998) · Water Science and Technology · doi:10.1016/s0273-1223(98)00281-9 · Cited by 861
Cao, Y., van Loosdrecht, M. C. M., & Daigger, G. T. (2017) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-016-8058-7 · Cited by 816
Current status of urban wastewater treatment plants in China
Zhang, Q. H., Yang, W. N., Ngo, H. H., Guo, W. S., Jin, P. K., Dzakpasu, M., Yang, S. J., Wang, Q., Wang, X. C., & Ao, D. (2016) · Environment International · doi:10.1016/j.envint.2016.03.024 · Cited by 620
Laureni, M., Falås, P., Robin, O., Wick, A., Weissbrodt, D. G., Nielsen, J. L., Ternes, T. A., Morgenroth, E., & Joss, A. (2016) · Water Research · doi:10.1016/j.watres.2016.05.005 · Cited by 542
The sharon process: an innovative method for nitrogen removal from ammonium-rich waste water
Hellinga, C., Schellen, A. A. J. C., Mulder, J. W., van Loosdrecht, M. C. M., & Heijnen, J. J. (1998) · Water Science and Technology · doi:10.2166/wst.1998.0350 · Cited by 537
Glass, C., & Silverstein, J. (1998) · Water Research · doi:10.1016/s0043-1354(97)00260-1 · Cited by 528
The roles of free ammonia (FA) in biological wastewater treatment processes: A review
Liu, Y., Ngo, H. H., Guo, W., Peng, L., Wang, D., & Ni, B. (2019) · Environment International · doi:10.1016/j.envint.2018.11.039 · Cited by 478
Control of aeration, aerobic SRT and COD input for mainstream nitritation/denitritation
Regmi, P., Miller, M. W., Holgate, B., Bunce, R., Park, H., Chandran, K., Wett, B., Murthy, S., & Bott, C. B. (2014) · Water Research · doi:10.1016/j.watres.2014.03.035 · Cited by 466
Metadata
- Authors
- Du, R., Peng, Y., Ji, J., Shi, L., Gao, R., & Li, X.
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 131
- Pages
- 105001
- ISSN
- 0160-4120 (ISSN-L)
- OpenAlex
- W2963346012
- Cited by
- 425
- References
- 29
- FWCI
- 12.44
- Type
- journal article
- Language
- en
- Open access
- gold
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