Sorbent-based dialysate regeneration for the wearable artificial kidney: Advancing material innovation via experimental and computational studies

Hemodialysis is the primary renal replacement therapy for patients affected by end-stage renal disease, but it has a severe impact on the patient’s lifestyle and wellbeing, and is extremely water intensive. A wearable dialysis device could solve most of the issues associated with the treatment, but the main obstacle to its realisation is an efficient and reliable system for dialysate regeneration, i.e. the purification of spent dialysate from uremic toxins. Several techniques have been proposed to this aim, such as enzymatic conversion, forward osmosis and electrochemical oxidation. One of the most promising and safe technologies is adsorption, in which toxins are captured onto nanoporous materials, polymers or their combinations (mixed matrix membranes). In this review, we first give a general overview of the hemodialysis processes and of the challenges associated to making it wearable. Subsequently, we use experimental data from the literature to rank different materials based on their ability to remove the typical uremic toxins present in dialysate, including considerations on their recyclability, stability and safety. Finally, we critically analyse different computational modelling techniques available to design and/or optimise adsorbent materials for dialysate regeneration, and their accuracy in predicting the materials performance and screen large databases of adsorbents.

Authors

Institutions

Publication Details

Journal
Separation and Purification Technology
Published
2024-11-27
DOI
https://doi.org/10.1016/j.seppur.2024.130776
Citations
6
Primary Topic
Electrospun Nanofibers in Biomedical Applications
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sorbent-based dialysate regeneration for the wearable artificial kidney: Advancing material innovation via experimental and computational studies

Simone Dimartino, María Grazia De Angelis, Thomas Fabiani, Sandra E. Kentish et al.
6 citations
Separation and Purification Technology
Electrospun Nanofibers in Biomedical Applications
1.04
article

Sorbent-based dialysate regeneration for the wearable artificial kidney: Advancing material innovation via experimental and computational studies

Simone Dimartino, María Grazia De Angelis, Thomas Fabiani, Sandra E. Kentish, Cristiana Boi, Maryam Zarghamidehaghani
article en
6 citations

Abstract

Hemodialysis is the primary renal replacement therapy for patients affected by end-stage renal disease, but it has a severe impact on the patient’s lifestyle and wellbeing, and is extremely water intensive. A wearable dialysis device could solve most of the issues associated with the treatment, but the main obstacle to its realisation is an efficient and reliable system for dialysate regeneration, i.e. the purification of spent dialysate from uremic toxins. Several techniques have been proposed to this aim, such as enzymatic conversion, forward osmosis and electrochemical oxidation. One of the most promising and safe technologies is adsorption, in which toxins are captured onto nanoporous materials, polymers or their combinations (mixed matrix membranes). In this review, we first give a general overview of the hemodialysis processes and of the challenges associated to making it wearable. Subsequently, we use experimental data from the literature to rank different materials based on their ability to remove the typical uremic toxins present in dialysate, including considerations on their recyclability, stability and safety. Finally, we critically analyse different computational modelling techniques available to design and/or optimise adsorbent materials for dialysate regeneration, and their accuracy in predicting the materials performance and screen large databases of adsorbents.

Separation and Purification TechnologyVol. 360
The University of Melbourne (AU), Edinburgh College (GB), University of Bologna (IT), University of Edinburgh (GB)
Kidney Research UK
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Electrospun Nanofibers in Biomedical Applications
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.