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Automated membrane characterization: In-situ monitoring of the permeate and retentate solutions using a 3D printed permeate probe device

Authors :
Jonathan Aubuchon Ouimet
Faraj Al-Badani
Xinhong Liu
Laurianne Lair
Zachary W. Muetzel
Alexander W. Dowling
William A. Phillip
Source :
Journal of Membrane Science Letters, Vol 4, Iss 2, Pp 100087- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Self-driving laboratories and automated experiments can accelerate the design workflow and decrease errors associated with experiments that characterize membrane transport properties. Within this study, we use 3D printing to design a custom stirred cell that incorporates inline conductivity probes in the retentate and permeate streams. The probes provide a complete trajectory of the salt concentrations as they evolve over the course of an experiment. Here, automated diafiltration experiments are used to characterize the performance of commercial NF90 and NF270 polyamide membranes over a predetermined range of KCl concentrations from 1 to 100 mM. The measurements obtained by the inline conductivity probes are validated using offline post-experiment analyses. Compared to traditional filtration experiments, the probes decrease the amount of time required for an experimentalist to characterize membrane materials by more than 50× and increase the amount of information generated by 100×. Device design principles to address the physical constraints associated with making conductivity measurements in confined volumes are proposed. Overall, the device developed within this study provides a foundation to establish high-throughput, automated membrane characterization techniques.

Details

Language :
English
ISSN :
27724212
Volume :
4
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Membrane Science Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.f35159c9e92047d6b648581ea7767dde
Document Type :
article
Full Text :
https://doi.org/10.1016/j.memlet.2024.100087