Simple, Fast and Convenient Magnetic Bead-Based Sample Preparation for Detecting Viruses via Raman-Spectroscopy

Author:

Pahlow Susanne123,Richard-Lacroix Marie3,Hornung Franziska4,Köse-Vogel Nilay4,Mayerhöfer Thomas G.13,Hniopek Julian123ORCID,Ryabchykov Oleg123ORCID,Bocklitz Thomas1235ORCID,Weber Karina123ORCID,Ehricht Ralf123ORCID,Löffler Bettina4,Deinhardt-Emmer Stefanie4ORCID,Popp Jürgen123ORCID

Affiliation:

1. Abbe Center of Photonics, Institute of Physical Chemistry, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany

2. Center for Applied Research, InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena, Germany

3. Leibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany

4. Leibniz Centre for Photonics in Infection Research (LPI), Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany

5. Physics & Computer Science, Faculty of Mathematics, Institute of Computer Science, University Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany

Abstract

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.

Funder

Photonics Research Germany

SARS-CoV-2Dx

Carl Zeiss Foundation

Publisher

MDPI AG

Subject

Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)

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