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Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials
The development of effective assay techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently received research attention due to its rapid worldwide spread and considerable risk to human health. The receptor-binding domain (RBD) of the spike (S) protein in SARS-CoV-2, a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758572/ https://www.ncbi.nlm.nih.gov/pubmed/35086028 http://dx.doi.org/10.1016/j.bios.2022.113981 |
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author | Lee, Soo Hyun Lee, Yeon Kyung Lee, Sang-Hun Kwak, Jisung Song, Hyun Seok Seo, Minah |
author_facet | Lee, Soo Hyun Lee, Yeon Kyung Lee, Sang-Hun Kwak, Jisung Song, Hyun Seok Seo, Minah |
author_sort | Lee, Soo Hyun |
collection | PubMed |
description | The development of effective assay techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently received research attention due to its rapid worldwide spread and considerable risk to human health. The receptor-binding domain (RBD) of the spike (S) protein in SARS-CoV-2, a key component for viral entry that has a unique sequence compared to other structural proteins, has been considered an important diagnostic target. In this respect, low-frequency vibrational modes have the advantage of providing information about compositional and structural dependencies at the peptide level. In this study, the sensitive and selective detection of peptides derived from the RBD in SARS-CoV-2 and SARS-CoV was investigated using metamaterial-based sensing chips with a terahertz time-domain spectroscopy (THz-TDS) system. Based on their RBD sequences, two pairs of peptides with 20 residues each were prepared. The sensitivity, specificity, and reproducibility of the proposed system were examined via quantitative analysis using THz metamaterials at three resonance frequencies, and it was found that the species could be discriminated based on their sequences. The THz signals were analyzed with regard to the major amino acid components of the peptides, and the molecular distributions were also investigated based on the hydropathy and net charge of the peptides. |
format | Online Article Text |
id | pubmed-8758572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87585722022-01-14 Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials Lee, Soo Hyun Lee, Yeon Kyung Lee, Sang-Hun Kwak, Jisung Song, Hyun Seok Seo, Minah Biosens Bioelectron Article The development of effective assay techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently received research attention due to its rapid worldwide spread and considerable risk to human health. The receptor-binding domain (RBD) of the spike (S) protein in SARS-CoV-2, a key component for viral entry that has a unique sequence compared to other structural proteins, has been considered an important diagnostic target. In this respect, low-frequency vibrational modes have the advantage of providing information about compositional and structural dependencies at the peptide level. In this study, the sensitive and selective detection of peptides derived from the RBD in SARS-CoV-2 and SARS-CoV was investigated using metamaterial-based sensing chips with a terahertz time-domain spectroscopy (THz-TDS) system. Based on their RBD sequences, two pairs of peptides with 20 residues each were prepared. The sensitivity, specificity, and reproducibility of the proposed system were examined via quantitative analysis using THz metamaterials at three resonance frequencies, and it was found that the species could be discriminated based on their sequences. The THz signals were analyzed with regard to the major amino acid components of the peptides, and the molecular distributions were also investigated based on the hydropathy and net charge of the peptides. The Authors. Published by Elsevier B.V. 2022-04-15 2022-01-14 /pmc/articles/PMC8758572/ /pubmed/35086028 http://dx.doi.org/10.1016/j.bios.2022.113981 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Lee, Soo Hyun Lee, Yeon Kyung Lee, Sang-Hun Kwak, Jisung Song, Hyun Seok Seo, Minah Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials |
title | Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials |
title_full | Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials |
title_fullStr | Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials |
title_full_unstemmed | Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials |
title_short | Detection and discrimination of SARS-CoV-2 spike protein-derived peptides using THz metamaterials |
title_sort | detection and discrimination of sars-cov-2 spike protein-derived peptides using thz metamaterials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758572/ https://www.ncbi.nlm.nih.gov/pubmed/35086028 http://dx.doi.org/10.1016/j.bios.2022.113981 |
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