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Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations

[Image: see text] Rapid detection of single nucleotide variations (SNVs) is of critical importance to early diagnosis of several diseases and the prediction of diverse responses to a specific treatment. Based on the information published in the literature, discrimination of SNVs is a developing area...

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Autores principales: Hajialyani, Marziyeh, Hosseinzadeh, Leila, Wu, Jie Jayne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482391/
https://www.ncbi.nlm.nih.gov/pubmed/34604613
http://dx.doi.org/10.1021/acsomega.1c02563
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author Hajialyani, Marziyeh
Hosseinzadeh, Leila
Wu, Jie Jayne
author_facet Hajialyani, Marziyeh
Hosseinzadeh, Leila
Wu, Jie Jayne
author_sort Hajialyani, Marziyeh
collection PubMed
description [Image: see text] Rapid detection of single nucleotide variations (SNVs) is of critical importance to early diagnosis of several diseases and the prediction of diverse responses to a specific treatment. Based on the information published in the literature, discrimination of SNVs is a developing area of study with great research enthusiasm and is also an area that can benefit from microfluidics-integrated designs. This review provides a brief overview of different microfluidics-based strategies for rapid detection of SNVs and mismatched bases. Sensors based on various microfluidic formats, such as paper-based microfluidic biosensors, droplet-based microfluidic systems, and magnetic bead-based microfluidic biosensors, have been discussed with respect to their specific pros and cons for SNV detection. These systems have shown promise for distributed on-site diagnostics in personalized medicine.
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spelling pubmed-84823912021-10-01 Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations Hajialyani, Marziyeh Hosseinzadeh, Leila Wu, Jie Jayne ACS Omega [Image: see text] Rapid detection of single nucleotide variations (SNVs) is of critical importance to early diagnosis of several diseases and the prediction of diverse responses to a specific treatment. Based on the information published in the literature, discrimination of SNVs is a developing area of study with great research enthusiasm and is also an area that can benefit from microfluidics-integrated designs. This review provides a brief overview of different microfluidics-based strategies for rapid detection of SNVs and mismatched bases. Sensors based on various microfluidic formats, such as paper-based microfluidic biosensors, droplet-based microfluidic systems, and magnetic bead-based microfluidic biosensors, have been discussed with respect to their specific pros and cons for SNV detection. These systems have shown promise for distributed on-site diagnostics in personalized medicine. American Chemical Society 2021-09-14 /pmc/articles/PMC8482391/ /pubmed/34604613 http://dx.doi.org/10.1021/acsomega.1c02563 Text en © 2021 The Authors. Published 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 Hajialyani, Marziyeh
Hosseinzadeh, Leila
Wu, Jie Jayne
Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations
title Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations
title_full Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations
title_fullStr Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations
title_full_unstemmed Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations
title_short Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations
title_sort microfluidics-integrated sensors toward rapid detection of single nucleotide variations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482391/
https://www.ncbi.nlm.nih.gov/pubmed/34604613
http://dx.doi.org/10.1021/acsomega.1c02563
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