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Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements
Almost all biosensors that use ligand-receptor binding operate under equilibrium conditions. However, at low ligand concentrations, the equilibration with the receptor (e.g., antibodies and aptamers) becomes slow and thus equilibrium-based biosensors are inherently limited in making measurements tha...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674706/ https://www.ncbi.nlm.nih.gov/pubmed/36400792 http://dx.doi.org/10.1038/s41467-022-34778-5 |
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author | Maganzini, Nicolò Thompson, Ian Wilson, Brandon Soh, Hyongsok Tom |
author_facet | Maganzini, Nicolò Thompson, Ian Wilson, Brandon Soh, Hyongsok Tom |
author_sort | Maganzini, Nicolò |
collection | PubMed |
description | Almost all biosensors that use ligand-receptor binding operate under equilibrium conditions. However, at low ligand concentrations, the equilibration with the receptor (e.g., antibodies and aptamers) becomes slow and thus equilibrium-based biosensors are inherently limited in making measurements that are both rapid and sensitive. In this work, we provide a theoretical foundation for a method through which biosensors can quantitatively measure ligand concentration before reaching equilibrium. Rather than only measuring receptor binding at a single time-point, the pre-equilibrium approach leverages the receptor’s kinetic response to instantaneously quantify the changing ligand concentration. Importantly, by analyzing the biosensor output in frequency domain, rather than in the time domain, we show the degree to which noise in the biosensor affects the accuracy of the pre-equilibrium approach. Through this analysis, we provide the conditions under which the signal-to-noise ratio of the biosensor can be maximized for a given target concentration range and rate of change. As a model, we apply our theoretical analysis to continuous insulin measurement and show that with a properly selected antibody, the pre-equilibrium approach could make the continuous tracking of physiological insulin fluctuations possible. |
format | Online Article Text |
id | pubmed-9674706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96747062022-11-20 Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements Maganzini, Nicolò Thompson, Ian Wilson, Brandon Soh, Hyongsok Tom Nat Commun Article Almost all biosensors that use ligand-receptor binding operate under equilibrium conditions. However, at low ligand concentrations, the equilibration with the receptor (e.g., antibodies and aptamers) becomes slow and thus equilibrium-based biosensors are inherently limited in making measurements that are both rapid and sensitive. In this work, we provide a theoretical foundation for a method through which biosensors can quantitatively measure ligand concentration before reaching equilibrium. Rather than only measuring receptor binding at a single time-point, the pre-equilibrium approach leverages the receptor’s kinetic response to instantaneously quantify the changing ligand concentration. Importantly, by analyzing the biosensor output in frequency domain, rather than in the time domain, we show the degree to which noise in the biosensor affects the accuracy of the pre-equilibrium approach. Through this analysis, we provide the conditions under which the signal-to-noise ratio of the biosensor can be maximized for a given target concentration range and rate of change. As a model, we apply our theoretical analysis to continuous insulin measurement and show that with a properly selected antibody, the pre-equilibrium approach could make the continuous tracking of physiological insulin fluctuations possible. Nature Publishing Group UK 2022-11-18 /pmc/articles/PMC9674706/ /pubmed/36400792 http://dx.doi.org/10.1038/s41467-022-34778-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Maganzini, Nicolò Thompson, Ian Wilson, Brandon Soh, Hyongsok Tom Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
title | Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
title_full | Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
title_fullStr | Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
title_full_unstemmed | Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
title_short | Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
title_sort | pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674706/ https://www.ncbi.nlm.nih.gov/pubmed/36400792 http://dx.doi.org/10.1038/s41467-022-34778-5 |
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