The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Feasibility of industrial-scale treatment of dye wastewater via bio-adsorption technology
Open accessAbstract
This review emphasizes the importance of costs in industrial-scale treatment of dye wastewater and provides a way to assess the cost-based feasibility of bio-adsorption technologies. Dye wastewater is one of the major contributors to environmental pollution. Bio-adsorption has attracted considerable attentions in dye wastewater treatment due to its technical feasibility, flexibility and operation simplicity. However, industrial-scale treatment of dye wastewater via bio-adsorption technologies remains stagnant, mainly due to high costs. So far, no review or research articles have systematically discussed the criteria for successful utilization of bio-adsorption technologies on a large scale. This review discusses the major factors affecting adsorption and desorption performance based on basic chemical and physical structures of bio-adsorbents available in literatures. A quantitative relationship has been summarized based on previous studies to assess the cost to utilize a bio-adsorption technology and serve as an access threshold for quality bio-adsorbents to be taken into real applications.
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Cited by
Diversity of Synthetic Dyes from Textile Industries, Discharge Impacts and Treatment Methods
Slama, H. B., Chenari Bouket, A., Pourhassan, Z., Alenezi, F. N., Silini, A., Cherif-Silini, H., Oszako, T., Luptakova, L., Golińska, P., & Belbahri, L. (2021) · Applied Sciences · doi:10.3390/app11146255 · Cited by 874
Effective Removal of Anionic Textile Dyes Using Adsorbent Synthesized from Coffee Waste
Wong, S., Ghafar, N. A., Ngadi, N., Razmi, F. A., Inuwa, I. M., Mat, R., & Amin, N. A. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-60021-6 · Cited by 394
Metadata
- Authors
- Li, W., Mu, B., & Yang, Y.
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 277
- Pages
- 157-170
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2907263220
- Cited by
- 574
- References
- 93
- FWCI
- 26.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.