A novel approach for rapid and sensitive detection of Zika virus utilizing silver nanoislands as SERS platform

[Display omitted] •Developed a biosensor detection of the Zika virus (ZIKV).•SERS technique have been used for the diagnosis of ZIKV.•Limit of detection have been calculated, which are 0.11 ng/mL.•Hence, overcome the problem of low viral load.•Cost-effective. To control the spread of the disease, th...

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Veröffentlicht in:Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2023-12, Vol.302, p.123045, Article 123045
Hauptverfasser: Tripathi, Manish Nath, Jangir, Poonam, Aakriti, Rai, Suyash, Gangwar, Mayank, Nath, Gopal, Saxena, Preeti S., Srivastava, Anchal
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Sprache:eng
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Zusammenfassung:[Display omitted] •Developed a biosensor detection of the Zika virus (ZIKV).•SERS technique have been used for the diagnosis of ZIKV.•Limit of detection have been calculated, which are 0.11 ng/mL.•Hence, overcome the problem of low viral load.•Cost-effective. To control the spread of the disease, the Zika virus (ZIKV), a flavivirus infection spread by mosquitoes and common in across the world, needs to be accurately and promptly diagnosed. This endeavour gets challenging when early-stage illnesses have low viral loads. As a result, we have created a biosensor based on surface-enhanced Raman scattering (SERS) for the quick, accurate, and timely diagnosis of the Zika virus. In this study, a glass coverslip was coated with silver nanoislands, which were then utilized as the surface for creating the sensing platform. Silver nanoislands exhibit strong plasmonic activity and good conductive characteristics. It enhances the Raman signals as a result and gives the SERS platform an appropriate surface. The created platform has been applied to Zika virus detection. With a limit of detection (LOD) of 0.11 ng/mL, the constructed sensor exhibits a linear range from 5 ng/mL to 1000 ng/mL. Hence, even at the nanogram scale, this technique may be a major improvement over clinical diagnosis approaches for making proper, precise, and accurate Zika virus detection.
ISSN:1386-1425
1873-3557
DOI:10.1016/j.saa.2023.123045