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Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores
Hyaluronan (HA) is an essential carbohydrate in vertebrates that is a potentially robust bioindicator due to its critical roles in diverse physiological functions in health and disease. The intricate size-dependent function that exists for HA and its low abundance in most biological fluids have high...
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/PMC8927330/ https://www.ncbi.nlm.nih.gov/pubmed/35296752 http://dx.doi.org/10.1038/s41598-022-08533-1 |
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author | Rivas, Felipe DeAngelis, Paul L. Rahbar, Elaheh Hall, Adam R. |
author_facet | Rivas, Felipe DeAngelis, Paul L. Rahbar, Elaheh Hall, Adam R. |
author_sort | Rivas, Felipe |
collection | PubMed |
description | Hyaluronan (HA) is an essential carbohydrate in vertebrates that is a potentially robust bioindicator due to its critical roles in diverse physiological functions in health and disease. The intricate size-dependent function that exists for HA and its low abundance in most biological fluids have highlighted the need for sensitive technologies to provide accurate and quantitative assessments of polysaccharide molecular weight and concentration. We have demonstrated that solid state (SS-) nanopore technology can be exploited for this purpose, given its molecular sensitivity and analytical capacity, but there remains a need to further understand the impacts of experimental variables on the SS-nanopore signal for optimal interpretation of results. Here, we use model quasi-monodisperse HA polymers to determine the dependence of HA signal characteristics on a range of SS-nanopore measurement conditions, including applied voltage, pore diameter, and ionic buffer asymmetry. Our results identify important factors for improving the signal-to-noise ratio, resolution, and sensitivity of HA analysis with SS-nanopores. |
format | Online Article Text |
id | pubmed-8927330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89273302022-03-17 Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores Rivas, Felipe DeAngelis, Paul L. Rahbar, Elaheh Hall, Adam R. Sci Rep Article Hyaluronan (HA) is an essential carbohydrate in vertebrates that is a potentially robust bioindicator due to its critical roles in diverse physiological functions in health and disease. The intricate size-dependent function that exists for HA and its low abundance in most biological fluids have highlighted the need for sensitive technologies to provide accurate and quantitative assessments of polysaccharide molecular weight and concentration. We have demonstrated that solid state (SS-) nanopore technology can be exploited for this purpose, given its molecular sensitivity and analytical capacity, but there remains a need to further understand the impacts of experimental variables on the SS-nanopore signal for optimal interpretation of results. Here, we use model quasi-monodisperse HA polymers to determine the dependence of HA signal characteristics on a range of SS-nanopore measurement conditions, including applied voltage, pore diameter, and ionic buffer asymmetry. Our results identify important factors for improving the signal-to-noise ratio, resolution, and sensitivity of HA analysis with SS-nanopores. Nature Publishing Group UK 2022-03-16 /pmc/articles/PMC8927330/ /pubmed/35296752 http://dx.doi.org/10.1038/s41598-022-08533-1 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rivas, Felipe DeAngelis, Paul L. Rahbar, Elaheh Hall, Adam R. Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
title | Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
title_full | Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
title_fullStr | Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
title_full_unstemmed | Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
title_short | Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
title_sort | optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927330/ https://www.ncbi.nlm.nih.gov/pubmed/35296752 http://dx.doi.org/10.1038/s41598-022-08533-1 |
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