@article {PURPURA2025132400,
	title = {Modelling selective lithium recovery from brines via membrane flow electrode capacitive de-ionization},
	journal = {Separation and Purification Technology},
	volume = {364},
	year = {2025},
	note = {n/a},
	pages = {132400},
	abstract = {<p>The recent growing demand for lithium worldwide, led by the Li-ion battery market, has sparked research into alternative sources of this material. In this context, selective lithium recovery from concentrated brines represents a sustainable and economical alternative to lithium mining activities. In this work, we developed a mathematical model of the recently implemented Lithium Membrane Flow Electrode Capacitive De-Ionization (Li-MFCDI) process, used to selectively extract lithium from a synthetic geothermal brine. The model was validated against the available experimental data and was used to perform a comprehensive parametric analysis. The model predicts the effects of the applied voltage, flow rates, and the adopted membranes on the process performance. These findings highlight the importance of the membrane conductivity-selectivity trade-off for process productivity. Furthermore, this simulation tool will substantially contribute to the development of this novel technology.</p>
},
	keywords = {Critical raw material, FCDI, Ion exchange membranes, Lithium selective membranes, Process model},
	issn = {1383-5866},
	doi = {https://doi.org/10.1016/j.seppur.2025.132400},
	url = {https://www.sciencedirect.com/science/article/pii/S1383586625009979},
	author = {Giorgio Purpura and Hafiz Muhamad Saif and Andrea Culcasi and Sylwin Pawlowski and Joao Goul{\~a}o Crespo and Andrea Cipollina}
}
