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Cited by 445

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Sludge treatment: Current research trends

Open access
Zhang, Quanguo, Hu, Jianjun, Lee, Duu-Jong, Chang, Yingju, Lee, Yu-Jen·2017·Bioresource Technology

Abstract

Sludge is produced during wastewater treatment as a residue containing most insoluble and adsorbed soluble impurities in wastewaters. This paper summarized the currently available review papers on sludge treatments and proposed the research trends based on the points raised therein. On partition aspect, sludge production rate and the reduction of production rate and the fate and transformation of involved emergent contaminants including endocrine disrupting chemicals and pharmaceuticals and personal care products are widely studied. On release aspect, development of thermal processes on sludge with migration and transformation of heavy metals in sludge during treatment is a research focus. The use of detailed fluid and biological reaction models and advanced instrumentation and control systems is studied to optimize treatment performances. On recovery part, co-digestion of sludge with co-substrates at mesophilic and hyperthermophilic conditions and the recovery of phosphorus at low costs are research highlights.

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Crossref · 10.1016/j.biortech.2017.07.070

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Metadata

Authors
Zhang, Q., Hu, J., Lee, D.-J., Chang, Y., & Lee, Y.-J.
Venue
Bioresource Technology
Publisher
Elsevier BV
Published
2017-11
Volume
243
Pages
1159-1172
ISSN
0960-8524 (ISSN-L)
OpenAlex
W2736233729
Cited by
445
References
59
FWCI
32.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sludge treatment: Current research trends. https://app.cochat.ai/papers/10.1016/j.biortech.2017.07.070
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Zhang, Q., Hu, J., Lee, D.-J., Chang, Y., & Lee, Y.-J. (2017). Sludge treatment: Current research trends. Bioresource Technology. https://doi.org/10.1016/j.biortech.2017.07.070

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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.