journal article·2024-09Open access

Localized surface plasmon resonance properties of green synthesized Ag/rGO composite nanoparticles utilizing Amaranthus viridis extract for biosensor applications

Putri Dwi Jayanti, Zurnansyah, Hafil Perdana Kusumah, Larrisa Jestha Mahardhika, Muhammad Riswan, Sari Wahyuni, Nanang Adrianto, Rona Cuana, Nurul Imani Istiqomah, Huma Ali, Daoud Ali, Chotimah, Edi Suharyadi

Abstract

The green synthesized Ag/rGO composite nanoparticles were successfully synthesized using the Hummers method with Amaranthus viridis extract. The localized surface plasmon resonance (LSPR) behaviour of the Ag/rGO was studied using the Kretschmann configuration consisting of prism/Au/Ag/rGO/air. The addition of the Ag/rGO composite to the prism system aims to determine the effect of rGO on the SPR angle. X-ray diffraction results showed that there were four diffraction peaks with the presence of lattice planes (111), (200), (220), and (311), proving the face-centered cubic crystal structure of silver. The characterization results showed that the size of Ag NPs was 23.1 nm and that of Ag/rGO composite was 16.7 nm. The EDX results of the Ag/rGO composite showed the presence of several elements such as C, O, Ag, and N. Fourier transform infrared analysis showed the presence of O-H, C-H, C=O, C=C, and C-O-C functional groups confirming the formation of Ag/rGO. The UV-Vis spectra showed to absorption peak at 257 nm and 346 to 412 nm with an increase an band gap energy from 3.27 eV to 3.40 eV. Meanwhile, the LSPR measurements demonstrate a shift in the SPR angle due to the addition of rGO, in which the angle shifts from 0.33 to 0.96 . In conclusion, the addition of rGO can optimize the plasmonic properties of Ag, so that it potentially could be applied to enhance the performance of SPR-based biosensor applications.
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Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Advanced biosensing and bioanalysis techniques · Graphene and Nanomaterials Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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