Progress in membrane distillation processes for dye wastewater treatment: A review Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.chemosphere.2024.142347
Textile and cosmetic industries generate large amounts of dye effluents requiring treatment before discharge. This wastewater contains high levels of reactive dyes, low to none-biodegradable materials and chemical residues. Technically, dye wastewater is characterised by high chemical and biological oxygen demand. Biological, physical and pressure-driven membrane processes have been extensively used in textile wastewater treatment plants. However, these technologies are characterised by process complexity and are often costly. Also, process efficiency is not achieved in cost-effective biochemical and physical treatment processes. Membrane distillation (MD) emerged as a promising technology harnessing challenges faced by pressure-driven membrane processes. To ensure high cost-effectiveness, the MD can be operated by solar energy or low-grade waste heat. Herein, the MD purification of dye wastewater is comprehensively and yet concisely discussed. This involved research advancement in MD processes towards removal of dyes from industrial effluents. Also, challenges faced by this process with a specific focus on fouling are reviewed. Current literature mainly tested MD setups in the laboratory scale suggesting a deep need of further optimization of membrane and module designs in near future, especially for textile wastewater treatment. There is a need to deliver customized high-porosity hydrophobic membrane design with the appropriate thickness and module configuration to reduce concentration and temperature polarization (CP and TP). Also, energy loss should be minimized while increasing dye rejection and permeate flux. Although laboratory experiments remain pivotal in optimizing the MD process for treating dye wastewater, the nature of their time intensity poses a challenge. Given the multitude of parameters involved in MD process optimization, artificial intelligence (AI) methodologies present a promising avenue for assistance. Thus, AI-driven algorithms have the potential to enhance overall process efficiency, cutting down on time, fine-tuning parameters, and driving cost reductions. However, achieving an optimal balance between efficiency enhancements and financial outlays is a complex process. Finally, this paper suggests a research direction for the development of effective synthetic and natural dye removal from industrially discharged wastewater.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.chemosphere.2024.142347
- OA Status
- hybrid
- Cited By
- 42
- References
- 221
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396916628
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396916628Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.chemosphere.2024.142347Digital Object Identifier
- Title
-
Progress in membrane distillation processes for dye wastewater treatment: A reviewWork title
- Type
-
reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-05-15Full publication date if available
- Authors
-
Lebea N. Nthunya, Kok Chung Chong, Soon Onn Lai, Woei Jye Lau, Eduardo Alberto López-Maldonado, Lucy Mar Camacho, Mohammad Mahdi A. Shirazi, Aamer Ali, Bhekie B. Mamba, Magdalena Osial, Paulina Pietrzyk-Thel, Agnieszka Pręgowska, Oranso T. MahlanguList of authors in order
- Landing page
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https://doi.org/10.1016/j.chemosphere.2024.142347Publisher landing page
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.chemosphere.2024.142347Direct OA link when available
- Concepts
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Membrane distillation, Distillation, Wastewater, Sewage treatment, Membrane technology, Waste management, Extractive distillation, Environmental science, Chemistry, Membrane, Biochemical engineering, Pulp and paper industry, Process engineering, Chromatography, Environmental engineering, Engineering, Desalination, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
42Total citation count in OpenAlex
- Citations by year (recent)
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2025: 38, 2024: 4Per-year citation counts (last 5 years)
- References (count)
-
221Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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