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Simplified Prediction of Ion Removal in Capacitive Deionization of Multi-Ion Solutions
KTH, School of Engineering Sciences (SCI), Applied Physics.
KTH, School of Engineering Sciences (SCI), Applied Physics.ORCID iD: 0000-0002-0074-3504
2020 (English)In: Langmuir, ISSN 0743-7463, E-ISSN 1520-5827, Vol. 36, no 5, p. 1338-1344Article in journal (Refereed) Published
Abstract [en]

Capacitive deionization (CDI) is an upcoming desalination technology being increasingly considered to be a simple and cost-effective solution for brackish water, where electrosorption leads to the removal of charged species from water. Real-world water samples typically contain a multitude of ions that must be considered apart from sodium-chloride salt. In this work, we have developed a method to quantify the competitive adsorption of different ionic species during CDI processes. The method is straightforward, requiring a single calibrating experiment to extract a 'periodic table' of competitiveness scores for all ions present in the experiment. Using a dynamic Langmuir model that was developed by our group, it is shown that these scores could subsequently be used to predict the adsorption of any ion species in a multi-ion solution. Excellent agreement with data from the literature could be achieved with this model, and the method is especially well-suited for trace ions as these can be predicted directly. The derived method is simple and accurate for quantifying and predicting adsorption in multi-ion solutions and could be valuable for predicting the effect when applying CDI to real-world water samples.

Place, publisher, year, edition, pages
AMER CHEMICAL SOC , 2020. Vol. 36, no 5, p. 1338-1344
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:kth:diva-269461DOI: 10.1021/acs.langmuir.9b03571ISI: 000513299200029PubMedID: 31941283Scopus ID: 2-s2.0-85079250438OAI: oai:DiVA.org:kth-269461DiVA, id: diva2:1413358
Note

QC 20200310

Available from: 2020-03-10 Created: 2020-03-10 Last updated: 2020-03-10Bibliographically approved

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Nordstrand, JohanDutta, Joydeep

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