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Extracellular Vesicle Refractive Index Derivation Utilizing Orthogonal Characterization
[Image: see text] The analysis of small particles, including extracellular vesicles and viruses, is contingent on their ability to scatter sufficient light to be detected. These detection methods include flow cytometry, nanoparticle tracking analysis, and single particle reflective image sensing. To...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603804/ https://www.ncbi.nlm.nih.gov/pubmed/37788377 http://dx.doi.org/10.1021/acs.nanolett.3c00562 |
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author | Pleet, Michelle L. Cook, Sean Tang, Vera A. Stack, Emily Ford, Verity J. Lannigan, Joanne Do, Ngoc Wenger, Ellie Fraikin, Jean-Luc Jacobson, Steven Jones, Jennifer C. Welsh, Joshua A. |
author_facet | Pleet, Michelle L. Cook, Sean Tang, Vera A. Stack, Emily Ford, Verity J. Lannigan, Joanne Do, Ngoc Wenger, Ellie Fraikin, Jean-Luc Jacobson, Steven Jones, Jennifer C. Welsh, Joshua A. |
author_sort | Pleet, Michelle L. |
collection | PubMed |
description | [Image: see text] The analysis of small particles, including extracellular vesicles and viruses, is contingent on their ability to scatter sufficient light to be detected. These detection methods include flow cytometry, nanoparticle tracking analysis, and single particle reflective image sensing. To standardize measurements and enable orthogonal comparisons between platforms, a quantifiable limit of detection is required. The main parameters that dictate the amount of light scattered by particles include size, morphology, and refractive index. To date, there has been a lack of accessible techniques for measuring the refractive index of nanoparticles at a single-particle level. Here, we demonstrate two methods of deriving a small particle refractive index using orthogonal measurements with commercially available platforms. These methods can be applied at either a single-particle or population level, enabling the integration of diameter and scattering cross section values to derive the refractive index using Mie theory. |
format | Online Article Text |
id | pubmed-10603804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106038042023-10-28 Extracellular Vesicle Refractive Index Derivation Utilizing Orthogonal Characterization Pleet, Michelle L. Cook, Sean Tang, Vera A. Stack, Emily Ford, Verity J. Lannigan, Joanne Do, Ngoc Wenger, Ellie Fraikin, Jean-Luc Jacobson, Steven Jones, Jennifer C. Welsh, Joshua A. Nano Lett [Image: see text] The analysis of small particles, including extracellular vesicles and viruses, is contingent on their ability to scatter sufficient light to be detected. These detection methods include flow cytometry, nanoparticle tracking analysis, and single particle reflective image sensing. To standardize measurements and enable orthogonal comparisons between platforms, a quantifiable limit of detection is required. The main parameters that dictate the amount of light scattered by particles include size, morphology, and refractive index. To date, there has been a lack of accessible techniques for measuring the refractive index of nanoparticles at a single-particle level. Here, we demonstrate two methods of deriving a small particle refractive index using orthogonal measurements with commercially available platforms. These methods can be applied at either a single-particle or population level, enabling the integration of diameter and scattering cross section values to derive the refractive index using Mie theory. American Chemical Society 2023-10-03 /pmc/articles/PMC10603804/ /pubmed/37788377 http://dx.doi.org/10.1021/acs.nanolett.3c00562 Text en Not subject to U.S. Copyright. Published 2023 by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Pleet, Michelle L. Cook, Sean Tang, Vera A. Stack, Emily Ford, Verity J. Lannigan, Joanne Do, Ngoc Wenger, Ellie Fraikin, Jean-Luc Jacobson, Steven Jones, Jennifer C. Welsh, Joshua A. Extracellular Vesicle Refractive Index Derivation Utilizing Orthogonal Characterization |
title | Extracellular
Vesicle Refractive Index Derivation
Utilizing Orthogonal Characterization |
title_full | Extracellular
Vesicle Refractive Index Derivation
Utilizing Orthogonal Characterization |
title_fullStr | Extracellular
Vesicle Refractive Index Derivation
Utilizing Orthogonal Characterization |
title_full_unstemmed | Extracellular
Vesicle Refractive Index Derivation
Utilizing Orthogonal Characterization |
title_short | Extracellular
Vesicle Refractive Index Derivation
Utilizing Orthogonal Characterization |
title_sort | extracellular
vesicle refractive index derivation
utilizing orthogonal characterization |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603804/ https://www.ncbi.nlm.nih.gov/pubmed/37788377 http://dx.doi.org/10.1021/acs.nanolett.3c00562 |
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