Permanent record
RIR-2025 · Logged 13 July 2026
Optimizing Nanofiltration Membrane Performance for the Removal of Emerging Organic Micro-contaminants in Wastewater
Nanofiltration is a promising technology for water purification, yet its efficiency in removing specific organic micro-contaminants requires further optimization. This research evaluates the impact of membrane surface modifications on the rejection rates of persistent organic pollutants.
In plain words
Some pollutants in wastewater are tiny and hard to remove. This study would test whether changing the surface of very fine water filters helps them catch more of these pollutants, which matters for reusing water safely.
Primary research question
How do specific membrane surface modifications influence the rejection efficiency of emerging organic micro-contaminants during nanofiltration processes?
Knowledge gap
What remains worth asking
It remains useful to test the long-term stability and selectivity of modified nanofiltration membranes under varying water quality conditions.
Potential contribution
Why it may matter
Advancing membrane technology is critical for ensuring safe water reuse and environmental protection.
Academic placement
Academic fields and topic tags
Study frame: Nanofiltration systems in municipal or industrial wastewater treatment plants. · Method signals: Laboratory experiments, Spectroscopic analysis, Performance modeling
Possible study pathways
One question, different levels
Research master’s
Advanced water treatment technologies.
Doctoral
Membrane science and environmental remediation.
- originality
- Moderate
- methodology
- Advanced
- Data access
- Accessible
- ethics
- Accessible
Quality and audit
85/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Focuses on improving water treatment efficiency.
- Open-access scholarly source and DOI metadata verified
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
Sign-in required · uses one AI creditProvenance
Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
APA 7 source
Piekutin, J. (2020). Organic micro-contaminants removed from water in the nanofiltration process – preliminary research results. Desalination and Water Treatment, 199, 220-226. https://doi.org/10.5004/dwt.2020.26243
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗