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

Sanchez, John E.; Jaramillo, Sierra A; Settles, Erik W.; Salazar, J. Jesus Velazquez; Lehr, Alexander; González, Javier; Rodríguez-Aranda, M. C.; Navarro‐Contreras, H.; Raniere, Marlee O.; Harvey, Maxx; Wagner, David M.; Koppisch, Andrew T.; Kellar, Robert S.; Keim, Paul; Yacamán, Miguel José

doi:10.1039/d1ra03481b

Cited by 56 publications

(63 citation statements)

References 44 publications

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“…Here, we realized that only the strong binding affinity among the N-ASO 1+2 AuNPs with their target RNA sequences obtained through SERS was not enough in selectively differentiating SARS-CoV-2 positive samples from the negative ones with high confidence value ( Carlomagno et al, 2021 ; Huang et al, 2021 ; Sanchez et al, 2021 ; Yin et al, 2021 ). Hence, we used the Support Vector Machine (SVM) algorithm to improve the predictive performance of our assay.…”

Section: Resultsmentioning

confidence: 99%

Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning

Moitra

Chaichi

Hasan

et al. 2022

Biosensors and Bioelectronics

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Section: Resultsmentioning

confidence: 99%

Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning

Moitra

Chaichi

Hasan

et al. 2022

Biosensors and Bioelectronics

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“…Thus, the combination of Mxenes, possessing the advantages of metallic conductivity, hydrophilicity, tunable electronic structure, etc., with Nb and Ta cations, resulting in the formation of Nb 2 C and Ta 2 C MXene nanosheets, allowed for a sensitive detection of SARS-CoV-2 spike protein [ 124 ]. In another work, Sanchez et al modified several layers of MoS 2 with a mixture of Au–Cu nanostars and virion particles of the S and N proteins to determine the spike protein with nanomolar sensitivity [ 125 ].…”

Section: Application Of Sers and Sers-combined Raman Techniques In The Detection Of Biomoleculesmentioning

confidence: 99%

Raman Scattering-Based Biosensing: New Prospects and Opportunities

et al. 2021

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The growing interest in the development of new platforms for the application of Raman spectroscopy techniques in biosensor technologies is driven by the potential of these techniques in identifying chemical compounds, as well as structural and functional features of biomolecules. The effect of Raman scattering is a result of inelastic light scattering processes, which lead to the emission of scattered light with a different frequency associated with molecular vibrations of the identified molecule. Spontaneous Raman scattering is usually weak, resulting in complexities with the separation of weak inelastically scattered light and intense Rayleigh scattering. These limitations have led to the development of various techniques for enhancing Raman scattering, including resonance Raman spectroscopy (RRS) and nonlinear Raman spectroscopy (coherent anti-Stokes Raman spectroscopy and stimulated Raman spectroscopy). Furthermore, the discovery of the phenomenon of enhanced Raman scattering near metallic nanostructures gave impetus to the development of the surface-enhanced Raman spectroscopy (SERS) as well as its combination with resonance Raman spectroscopy and nonlinear Raman spectroscopic techniques. The combination of nonlinear and resonant optical effects with metal substrates or nanoparticles can be used to increase speed, spatial resolution, and signal amplification in Raman spectroscopy, making these techniques promising for the analysis and characterization of biological samples. This review provides the main provisions of the listed Raman techniques and the advantages and limitations present when applied to life sciences research. The recent advances in SERS and SERS-combined techniques are summarized, such as SERRS, SE-CARS, and SE-SRS for bioimaging and the biosensing of molecules, which form the basis for potential future applications of these techniques in biosensor technology. In addition, an overview is given of the main tools for success in the development of biosensors based on Raman spectroscopy techniques, which can be achieved by choosing one or a combination of the following approaches: (i) fabrication of a reproducible SERS substrate, (ii) synthesis of the SERS nanotag, and (iii) implementation of new platforms for on-site testing.

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“…Detection of viruses needs particular handling due to its infective and transmissible nature, and so, SARS-CoV-2 should be handled in laboratories at biosafety level 3, which hinder studies involving the live virus. A study that utilized isolated N and S proteins and of SARS-CoV-2 and inactivated forms of the virus as analytes for SERS detection has provided characteristic spectra of the said proteins with the use of Au–Cu nanostars [ 21 ]. Alternatively, pseudoviruses have been developed for use as target analytes instead of using the actual highly contagious virus so that experiments utilizing live SARS-CoV-2 pseudovirus containing S protein as a surface capsid glycoprotein (SARS-CoV-2 S pseudovirus) could be carried out in a laboratory with lower biosafety level.…”

Section: Introductionmentioning

confidence: 99%

Synergistic surface-enhanced Raman scattering effect to distinguish live SARS-CoV-2 S pseudovirus

Sitjar

Liu

et al. 2022

Analytica Chimica Acta

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

Abstract: The COVID-19 pandemic demonstrated the critical need for accurate and rapid testing for virus detection.

Cited by 56 publications

References 44 publications

Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning

Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning

Raman Scattering-Based Biosensing: New Prospects and Opportunities

Synergistic surface-enhanced Raman scattering effect to distinguish live SARS-CoV-2 S pseudovirus

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