Block ratio optimized cationic polyacrylamides for enhanced nitrate rejection under applied potential
Nitrate contamination in water sources is a growing environmental concern, threatening both human health and ecosystems. However, its combination with sodium forms NaNO 3 , a compound essential for various industrial applications. The integration of charged polymers and reverse osmosis (RO) membranes presents a promising approach to capture undesired ions and enhance water purification efficiency. In this paper, di-block cationic polyacrylamides (DCPAMs) as charged polymers are evaluated separately in bulk solution and in combination with the RO process to capture nitrite ions introduced by NaNO 3 . Molecular dynamics simulations are conducted to systematically investigate the effects of polymer block ratio and concentration, as well as salt concentration, on NO 3 − capturing. Our results in bulk solution indicate that an optimal block ratio of 8 : 12 yields the highest performance, with polymers adopting a stretched conformation. When an electric potential is applied, anions are strongly attracted to the positively charged electrode, and nitrate ions remain closer to the electrode surface than other ions. Our findings reveal that a 12 : 8 ratio outperforms all other ratios. The simultaneous application of RO membranes and DCPAMs achieves salt rejection efficiencies ranging from 78% to 100%, depending on DCPAM type and salt concentration. These findings pave the way for further computational studies on combined processes to advance water purification technologies. • Optimal polymer block ratio improves ion capture in bulk and confined solutions. • DCPAM polymers selectively adsorb nitrate ions from solution. • Hybrid RO-polymer system achieves complete nitrate rejection. • Constant-potential MD reveals key parameters for polymer-enhanced desalination.
Authors
- Abhinav Sharma (ORCID: https://orcid.org/0000-0002-6436-3826)
- Hossein Vahid (ORCID: https://orcid.org/0000-0002-7345-5423)
- Mohammad R. K. Mofrad (ORCID: https://orcid.org/0000-0001-7004-4859)
- Mohammad Khavani (ORCID: https://orcid.org/0000-0003-1883-8701)
- Tapio Ala-Nissilä (ORCID: https://orcid.org/0000-0002-3210-3181)
- Arsalan Hashemi (ORCID: https://orcid.org/0000-0003-2699-5731)
Institutions
- Loughborough University (GB)
- Lawrence Berkeley National Laboratory (US)
- University of Augsburg (DE)
- Leibniz Institute of Polymer Research (DE)
- University of California, Berkeley (US)
- Aalto University (FI)
Publication Details
- Journal
- Chemical Engineering Journal
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1016/j.cej.2025.162346
- Primary Topic
- Ammonia Synthesis and Nitrogen Reduction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Academy of Finland
- Suomen Kulttuurirahasto
- Teknologiateollisuuden 100-Vuotisjuhlasäätiö