Unveiling the future of graphene oxide-based desalination membranes: Bibliometric analysis, AI-powered topic modeling and research evolution forecast, patent analysis, and regional feasibility in South Asia
• Comprehensive bibliometric analysis is performed to understand research progress. • Burst keywords analysis is conducted to identify research hotspots. • AI-derived models perform topic modeling and research evolution forecast. • Patent analysis is carried out to understand real-world technological developments. • Feasibility of implementing GO-based membranes for desalination in South Asia is discussed. The current world requires us to examine water scarcity as a vital matter. The main problem with water usability stems from its high salt content, which makes it unsuitable for different applications. The world now witnesses an increasing adoption of membrane-based desalination technology for water treatment. This study is based on a comprehensive evaluation of graphene oxide (GO)-based membranes for desalination operations. A complete bibliometric evaluation of research progress in GO-based membranes for desalination required a Scopus database download of a comprehensive dataset. The research hotspots become visible through Burst keyword analysis. The database underwent topic modeling and research evolution prediction through the integration of AI-derived models. The analysis of patent data from the “Lens” database enabled researchers to study actual GO-based membrane applications for desalination and their technological advancements. The study assesses industrialization challenges of GO-based membranes for desalination, along with a feasibility assessment to determine the implementation potential of GO-based membranes for desalination in South Asia, where water shortages and saltwater salinity present significant challenges. The research provides essential information to scientists who want to study GO-based membranes for desalination and business leaders who need to evaluate the current state and operational viability of this technology.
Authors
- Sadit Bihongo Malitha
- S. Mazumder (ORCID: https://orcid.org/0000-0002-6157-2059)
- Md. Zahangir Alam (ORCID: https://orcid.org/0000-0002-6491-3218)
- A. M. Sarwaruddin Chowdhury (ORCID: https://orcid.org/0000-0002-1772-2734)
- Md. Saiful Islam (ORCID: https://orcid.org/0000-0003-2997-6579)
Institutions
- Shahjalal University of Science and Technology (BD)
- Atish Dipankar University of Science and Technology (BD)
- Dhaka University of Engineering & Technology (BD)
Publication Details
- Journal
- Chemical Engineering Journal Advances
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1016/j.ceja.2025.100934
- Citations
- 2
- Primary Topic
- Membrane Separation Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.63