Fabrication, Characterization, and Application of Clay-Based Ceramic Membranes for Oily Wastewater Treatment: A Review
- Authors
-
-
Mu’azu ABUBAKAR
Author
-
Abubakar B. ALIYU
Author
-
Dauda GARBA
Author
-
- Keywords:
- Clay-based ceramic membranes, oily wastewater, membrane fabrication, fouling resistance, sustainable water treatment.
- Abstract
-
The rapid growth of the oil mill industry has led to the generation of large volumes of oily wastewater containing high concentrations of oil, grease, suspended solids, and organic pollutants. The discharge of such effluents without adequate treatment poses serious environmental and public health risks. Conventional treatment technologies often suffer from high operational costs, complex process configurations, and limited efficiency when handling emulsified oils and high organic loads. In this context, membrane-based separation has emerged as a promising alternative due to its high removal efficiency, compact design, and potential for water reuse. Among available membrane materials, clay-based ceramic membranes have attracted increasing attention as low-cost, sustainable, and robust alternatives to polymeric and advanced oxide-based ceramic membranes. This review critically examines recent developments in the fabrication, characterization, and application of clay-based ceramic membranes for treating oily wastewater. Emphasis is placed on the selection of raw materials, fabrication techniques, sintering parameters, and key performance indicators, including permeate flux, rejection efficiency, mechanical strength, and fouling resistance. A comparative analysis with polymeric and conventional ceramic membranes is presented to highlight the advantages and limitations of clay-based systems. Current challenges related to fouling, raw material variability, energy-intensive fabrication, and scale-up are discussed, and future research directions are proposed. Overall, clay-based ceramic membranes represent a promising and economically viable solution for treating oily wastewater, particularly in resource-limited regions.
- References
- Downloads
- Published
- 25-04-2026
- Section
- Articles
- License
-
Copyright (c) 2026 FUDMA Journal of Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Abdullahi P. NUHU, Kabir O. YUSUF, Aliyu O. ABDULRAHMAN, Kehinde A. LASISI, Effect of Heat Treatment on Post Weld Railway Track , FUDMA Journal of Engineering and Technology: Vol. 1 No. 1 (2025): July 2025
- Oluwasanmi S. ADANIGBO, Opeyemi O. ASAOLU, Adedayo A. SOBOWALE, Temidayo AKINDAHUNSI, Akinbayode A. ASAOLU, Intrusion Detection in Mobile Adhoc Networks: A Review of Signature-Based, Anomaly-Based, and Hybrid Approaches , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Yusuf T. BAFFA, Muhammad Y. MUHAMMAD, Aliyu SHUAIBU, Enhanced Detection and Classification Models for Distributed Denial-of-Service Using Time-Based Features in Cybersecurity , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Olabanji M. KADI, Sustainability in Construction: A Quantity Surveyor's Perspective on Green Building Practices , FUDMA Journal of Engineering and Technology: Vol. 1 No. 1 (2025): July 2025
- Muhammad M. HAMIDU, Development of MATLAB-Based Model for Solar Radiation Prediction and Photovoltaic Panel Tilt Optimization Angle for Maiduguri Region, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Adekunle O. ADEWOLE, Ayodeji O. ARIYO, Development of an Edge-Enabled IoT Smart Energy Meter with Artificial Intelligence (AI)-Based Load Prediction for Device-Level Monitoring , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Olusiji A. ADEYANJU, Joseph O. OLAIDE, Machine Learning Models for Predicting Flow Rate for Niger Delta Oil Wells , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Bala I. ABDULKARIM, Umar IDRISS, Synthesis and Characterization of Laggera aurita-Derived KOH Activated Carbon (LAKOHAC) and Role for the Adsorption of Water-Soluble Fraction of Benzene (WSFB) in Oil-Spilled Water , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Oyeyemi T. AFOROLAGBA-BALOGUN, Olumide A. TOWOJU, Characterization of Fuel Produced from Nylon (Polyamide) and Polyethylene Terephthalate (PET) Wastes with Pyrolysis , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Joseph A. OJENIYI, Zainab L. BELLO, Ismail IDRIS, Noel M. DOGONYARO, Suleiman AHMAD, Sikiru O. SUBAIRU, Entropy-Based Deep Learning Framework for Classifying Ransomware Families in Windows Environment , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
You may also start an advanced similarity search for this article.
