Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy
We introduce a magnetic bead-based sample preparation scheme for enabling the Raman spectroscopic differentiation of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2)-positive and -negative samples. The beads were functionalized with the angiotensin-converting enzyme 2 (ACE2) recepto...
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MDPI AG
2023-05-01
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Online Access: | https://www.mdpi.com/2079-6374/13/6/594 |
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author | Susanne Pahlow Marie Richard-Lacroix Franziska Hornung Nilay Köse-Vogel Thomas G. Mayerhöfer Julian Hniopek Oleg Ryabchykov Thomas Bocklitz Karina Weber Ralf Ehricht Bettina Löffler Stefanie Deinhardt-Emmer Jürgen Popp |
author_facet | Susanne Pahlow Marie Richard-Lacroix Franziska Hornung Nilay Köse-Vogel Thomas G. Mayerhöfer Julian Hniopek Oleg Ryabchykov Thomas Bocklitz Karina Weber Ralf Ehricht Bettina Löffler Stefanie Deinhardt-Emmer Jürgen Popp |
author_sort | Susanne Pahlow |
collection | DOAJ |
description | We introduce a magnetic bead-based sample preparation scheme for enabling the Raman spectroscopic differentiation of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2)-positive and -negative samples. The beads were functionalized with the angiotensin-converting enzyme 2 (ACE2) receptor protein, which is used as a recognition element to selectively enrich SARS-CoV-2 on the surface of the magnetic beads. The subsequent Raman measurements directly enable discriminating SARS-CoV-2-positive and -negative samples. The proposed approach is also applicable for other virus species when the specific recognition element is exchanged. A series of Raman spectra were measured on three types of samples, namely SARS-CoV-2, Influenza A H1N1 virus and a negative control. For each sample type, eight independent replicates were considered. All of the spectra are dominated by the magnetic bead substrate and no obvious differences between the sample types are apparent. In order to address the subtle differences in the spectra, we calculated different correlation coefficients, namely the Pearson coefficient and the Normalized cross correlation coefficient. By comparing the correlation with the negative control, differentiating between SARS-CoV-2 and Influenza A virus is possible. This study provides a first step towards the detection and potential classification of different viruses with the use of conventional Raman spectroscopy. |
first_indexed | 2024-03-11T02:41:57Z |
format | Article |
id | doaj.art-938e512eb92d4cdabc8ac37224b12256 |
institution | Directory Open Access Journal |
issn | 2079-6374 |
language | English |
last_indexed | 2024-03-11T02:41:57Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
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series | Biosensors |
spelling | doaj.art-938e512eb92d4cdabc8ac37224b122562023-11-18T09:32:28ZengMDPI AGBiosensors2079-63742023-05-0113659410.3390/bios13060594Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-SpectroscopySusanne Pahlow0Marie Richard-Lacroix1Franziska Hornung2Nilay Köse-Vogel3Thomas G. Mayerhöfer4Julian Hniopek5Oleg Ryabchykov6Thomas Bocklitz7Karina Weber8Ralf Ehricht9Bettina Löffler10Stefanie Deinhardt-Emmer11Jürgen Popp12Abbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyLeibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, GermanyLeibniz Centre for Photonics in Infection Research (LPI), Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, 07747 Jena, GermanyLeibniz Centre for Photonics in Infection Research (LPI), Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, 07747 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyLeibniz Centre for Photonics in Infection Research (LPI), Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, 07747 Jena, GermanyLeibniz Centre for Photonics in Infection Research (LPI), Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, 07747 Jena, GermanyAbbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, GermanyWe introduce a magnetic bead-based sample preparation scheme for enabling the Raman spectroscopic differentiation of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2)-positive and -negative samples. The beads were functionalized with the angiotensin-converting enzyme 2 (ACE2) receptor protein, which is used as a recognition element to selectively enrich SARS-CoV-2 on the surface of the magnetic beads. The subsequent Raman measurements directly enable discriminating SARS-CoV-2-positive and -negative samples. The proposed approach is also applicable for other virus species when the specific recognition element is exchanged. A series of Raman spectra were measured on three types of samples, namely SARS-CoV-2, Influenza A H1N1 virus and a negative control. For each sample type, eight independent replicates were considered. All of the spectra are dominated by the magnetic bead substrate and no obvious differences between the sample types are apparent. In order to address the subtle differences in the spectra, we calculated different correlation coefficients, namely the Pearson coefficient and the Normalized cross correlation coefficient. By comparing the correlation with the negative control, differentiating between SARS-CoV-2 and Influenza A virus is possible. This study provides a first step towards the detection and potential classification of different viruses with the use of conventional Raman spectroscopy.https://www.mdpi.com/2079-6374/13/6/594virusesSARS-CoV-2Raman spectroscopymagnetic beadssample preparation |
spellingShingle | Susanne Pahlow Marie Richard-Lacroix Franziska Hornung Nilay Köse-Vogel Thomas G. Mayerhöfer Julian Hniopek Oleg Ryabchykov Thomas Bocklitz Karina Weber Ralf Ehricht Bettina Löffler Stefanie Deinhardt-Emmer Jürgen Popp Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy Biosensors viruses SARS-CoV-2 Raman spectroscopy magnetic beads sample preparation |
title | Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy |
title_full | Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy |
title_fullStr | Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy |
title_full_unstemmed | Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy |
title_short | Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy |
title_sort | simple fast and convenient magnetic bead based sample preparation for detecting viruses via raman spectroscopy |
topic | viruses SARS-CoV-2 Raman spectroscopy magnetic beads sample preparation |
url | https://www.mdpi.com/2079-6374/13/6/594 |
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