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基于磁珠的简便、快速、便捷的样本制备方法,用于通过拉曼光谱法检测病毒。

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

机构信息

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

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

出版信息

Biosensors (Basel). 2023 May 30;13(6):594. doi: 10.3390/bios13060594.


DOI:10.3390/bios13060594
PMID:37366959
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10296004/
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.

摘要

我们介绍了一种基于磁珠的样品制备方案,用于实现拉曼光谱区分 2 型严重急性呼吸综合征冠状病毒(SARS-CoV-2)阳性和阴性样本。这些珠子用血管紧张素转换酶 2(ACE2)受体蛋白功能化,该蛋白用作识别元件,以在磁珠表面选择性富集 SARS-CoV-2。随后的拉曼测量直接能够区分 SARS-CoV-2 阳性和阴性样本。当交换特定的识别元件时,该方法也适用于其他病毒种类。对三种类型的样品,即 SARS-CoV-2、甲型 H1N1 流感病毒和阴性对照,进行了一系列拉曼光谱测量。对于每种样品类型,考虑了八个独立的重复。所有光谱都由磁珠基质主导,样品类型之间没有明显差异。为了解决光谱中的细微差异,我们计算了不同的相关系数,即 Pearson 系数和归一化互相关系数。通过将相关系数与阴性对照进行比较,可以区分 SARS-CoV-2 和甲型流感病毒。这项研究为使用常规拉曼光谱检测和潜在分类不同病毒迈出了第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/818cf3f90f3c/biosensors-13-00594-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/adf80df87c3c/biosensors-13-00594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/f868abbb549e/biosensors-13-00594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/af878a8ed0c8/biosensors-13-00594-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/818cf3f90f3c/biosensors-13-00594-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/adf80df87c3c/biosensors-13-00594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/f868abbb549e/biosensors-13-00594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/af878a8ed0c8/biosensors-13-00594-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bae/10296004/818cf3f90f3c/biosensors-13-00594-g004.jpg

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引用本文的文献

[1]
Development of a 3D Printing-Enabled Cost-Effective Multimodal Raman Probe with High Signal-to-noise Ratio Raman Spectrum Measurements.

ACS Omega. 2024-9-20

[2]
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本文引用的文献

[1]
High-sensitivity and point-of-care detection of SARS-CoV-2 from nasal and throat swabs by magnetic SERS biosensor.

Sens Actuators B Chem. 2022-8-15

[2]
Detection of SARS-CoV-2 and its S and N proteins using surface enhanced Raman spectroscopy.

RSC Adv. 2021-7-26

[3]
Raman Molecular Fingerprints of SARS-CoV-2 British Variant and the Concept of Raman Barcode.

Adv Sci (Weinh). 2022-1

[4]
SARS-CoV-2 B.1.1.7 and B.1.351 spike variants bind human ACE2 with increased affinity.

Lancet Infect Dis. 2021-8

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Virus Detection: A Review of the Current and Emerging Molecular and Immunological Methods.

Front Mol Biosci. 2021-4-20

[6]
Molecular detection of SARS-CoV-2 being challenged by virus variation and asymptomatic infection.

J Pharm Anal. 2021-6

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Challenges of SERS technology as a non-nucleic acid or -antigen detection method for SARS-CoV-2 virus and its variants.

Biosens Bioelectron. 2021-6-1

[8]
A Review on SERS-Based Detection of Human Virus Infections: Influenza and Coronavirus.

Biosensors (Basel). 2021-2-28

[9]
COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections.

Sci Rep. 2021-3-2

[10]
SARS-CoV-2 causes severe epithelial inflammation and barrier dysfunction.

J Virol. 2021-4-26

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