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Autor(en) / Beteiligte
Titel
Detection and analysis of rotavirus in clinical stool samples using silver nanoparticle functionalized paper as SERS substrate
Ist Teil von
  • Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2023-07, Vol.295, p.122610, Article 122610
Ort / Verlag
England: Elsevier B.V
Erscheinungsjahr
2023
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • [Display omitted] •Paper SERS substrate has been fabricated by drop-casting AgNPs on printing-grade paper.•Signal reproducibility and enhancement factor have been evaluated.•ELISA and PCR tests are performed to confirm the presence of rotavirus particles.•The paper-based SERS substrates can detect rotavirus in clinical stool samples. Among the different analytical techniques, surface-enhanced Raman scattering (SERS) approach is a widely used technique for the detection and analysis of various chemicals and biological samples. Present study reports a low-cost, sensitive SERS substrate that has an ability to detect rotavirus in clinical stool samples. The proposed SERS substrate has been fabricated through drop-casting of silver nanoparticles (AgNPs) on a printing-grade paper. Rotavirus particles were extracted from clinical stool samples. The presence of rotavirus antigen in stool samples was confirmed using enzyme-linked immunosorbent assay (ELISA), polymerase chain reaction (PCR), and sequencing. The characteristic Raman peaks of rotavirus (RV) particles in solution were found to be significantly enhanced when Raman signals were recorded from the paper-based SERS substrates. Using the proposed SERS substrate, rotavirus samples with concentration as low as 1% could be reliably recorded by the Raman spectrometer. The paper SERS substrate reported herein is an extremely cost-efficient platform and may find applications in other research and clinical laboratories as well.
Sprache
Englisch
Identifikatoren
ISSN: 1386-1425
eISSN: 1873-3557
DOI: 10.1016/j.saa.2023.122610
Titel-ID: cdi_crossref_primary_10_1016_j_saa_2023_122610

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