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

dc.contributor.authorManish Nath Tripathi
dc.contributor.authorPoonam Jangir
dc.contributor.authorAakriti
dc.contributor.authorSuyash Rai
dc.contributor.authorMayank Gangwar
dc.contributor.authorGopal Nath
dc.contributor.authorPreeti S. Saxena
dc.contributor.authorAnchal Srivastava
dc.date.accessioned2026-02-07T11:25:14Z
dc.date.issued2023
dc.description.abstractTo 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. © 2023 Elsevier B.V.
dc.identifier.doi10.1016/j.saa.2023.123045
dc.identifier.issn13861425
dc.identifier.urihttps://doi.org/10.1016/j.saa.2023.123045
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/43915
dc.publisherElsevier B.V.
dc.subjectAnti-Zika antibodies
dc.subjectBiosensor
dc.subjectSilver nano-islands (AgNIs)
dc.subjectSurface-enhanced Raman scattering (SERS)
dc.subjectZika virus (ZIKV)
dc.titleA novel approach for rapid and sensitive detection of Zika virus utilizing silver nanoislands as SERS platform
dc.typePublication
dspace.entity.typeArticle

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