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Terahertz thermal curve analysis for label-free identification of pathogens

In this study, we perform a thermal curve analysis with terahertz (THz) metamaterials to develop a label-free identification tool for pathogens such as bacteria and yeasts. The resonant frequency of the metasensor coated with a bacterial layer changes as a function of temperature; this provides a un...

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Autores principales: Jun, S. W., Ahn, Y. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203813/
https://www.ncbi.nlm.nih.gov/pubmed/35710797
http://dx.doi.org/10.1038/s41467-022-31137-2
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author Jun, S. W.
Ahn, Y. H.
author_facet Jun, S. W.
Ahn, Y. H.
author_sort Jun, S. W.
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description In this study, we perform a thermal curve analysis with terahertz (THz) metamaterials to develop a label-free identification tool for pathogens such as bacteria and yeasts. The resonant frequency of the metasensor coated with a bacterial layer changes as a function of temperature; this provides a unique fingerprint specific to the individual microbial species without the use of fluorescent dyes and antibodies. Differential thermal curves obtained from the temperature-dependent resonance exhibit the peaks consistent with bacterial phases, such as growth, thermal inactivation, DNA denaturation, and cell wall destruction. In addition, we can distinguish gram-negative bacteria from gram-positive bacteria which show strong peaks in the temperature range of cell wall destruction. Finally, we perform THz melting curve analysis on the mixture of bacterial species in which the pathogenic bacteria are successfully distinguished from each other, which is essential for practical clinical and environmental applications such as in blood culture.
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spelling pubmed-92038132022-06-18 Terahertz thermal curve analysis for label-free identification of pathogens Jun, S. W. Ahn, Y. H. Nat Commun Article In this study, we perform a thermal curve analysis with terahertz (THz) metamaterials to develop a label-free identification tool for pathogens such as bacteria and yeasts. The resonant frequency of the metasensor coated with a bacterial layer changes as a function of temperature; this provides a unique fingerprint specific to the individual microbial species without the use of fluorescent dyes and antibodies. Differential thermal curves obtained from the temperature-dependent resonance exhibit the peaks consistent with bacterial phases, such as growth, thermal inactivation, DNA denaturation, and cell wall destruction. In addition, we can distinguish gram-negative bacteria from gram-positive bacteria which show strong peaks in the temperature range of cell wall destruction. Finally, we perform THz melting curve analysis on the mixture of bacterial species in which the pathogenic bacteria are successfully distinguished from each other, which is essential for practical clinical and environmental applications such as in blood culture. Nature Publishing Group UK 2022-06-16 /pmc/articles/PMC9203813/ /pubmed/35710797 http://dx.doi.org/10.1038/s41467-022-31137-2 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
Jun, S. W.
Ahn, Y. H.
Terahertz thermal curve analysis for label-free identification of pathogens
title Terahertz thermal curve analysis for label-free identification of pathogens
title_full Terahertz thermal curve analysis for label-free identification of pathogens
title_fullStr Terahertz thermal curve analysis for label-free identification of pathogens
title_full_unstemmed Terahertz thermal curve analysis for label-free identification of pathogens
title_short Terahertz thermal curve analysis for label-free identification of pathogens
title_sort terahertz thermal curve analysis for label-free identification of pathogens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203813/
https://www.ncbi.nlm.nih.gov/pubmed/35710797
http://dx.doi.org/10.1038/s41467-022-31137-2
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