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Electrokinetic focusing of SARS-CoV-2 spike protein via ion concentration polarization in a paper-based lateral flow assay.
- Source :
-
Analytical methods : advancing methods and applications [Anal Methods] 2023 Dec 21; Vol. 16 (1), pp. 91-104. Date of Electronic Publication: 2023 Dec 21. - Publication Year :
- 2023
-
Abstract
- The COVID-19 pandemic highlighted the importance of designing sensitive and selective point-of-care (POC) diagnostic sensors for early and rapid detection of infection. Paper-based lateral flow assays (LFAs) are easy to use, inexpensive, and rapid, but they lack sensitivity. Preconcentration techniques can improve the sensitivity of LFAs by increasing the local concentration of the analyte before detection. Here, ion concentration polarization (ICP) is used to focus the analyte, SARS-CoV-2 Spike protein (S-protein), directly over a test line composed of angiotensin converting enzyme 2 (ACE2) capture probes. ICP is the enrichment and depletion of electrolyte ions at opposing ends of an ion-selective membrane under a voltage bias. The ion depleted zone (IDZ) establishes a steep gradient in electric field strength along its boundary. Enrichment of charged species (such as a biomolecule analyte) occurs at an axial location along this electric field gradient in the presence of a fluid flow that counteracts migration of those species - a phenomenon called ICP focusing. In this paper, running buffer composition and pretreatment solutions for ICP focusing in a paper-based LFA are evaluated, and the method of voltage application for ICP-enrichment is optimized. With a power consumption of 1.8 mW, S-protein is concentrated by a factor of 21-fold, leading to a 2.9-fold increase in the signal from the LFA compared to a LFA without ICP-enrichment. The described ICP-enhanced LFA is significant because the preconcentration strategy is amenable to POC applications and can be applied to existing LFAs for improvement in sensitivity.
- Subjects :
- Humans
Pandemics
SARS-CoV-2
Ions
Spike Glycoprotein, Coronavirus
COVID-19 diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1759-9679
- Volume :
- 16
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Analytical methods : advancing methods and applications
- Publication Type :
- Academic Journal
- Accession number :
- 38086621
- Full Text :
- https://doi.org/10.1039/d3ay00990d