Polyacrylonitrile as a versatile matrix for gold nanoparticle-based SERS substrates.
Saloni SharmaRajesh KumarRam Manohar YadavPublished in: Nanoscale advances (2024)
As an effective and ultrasensitive molecule detection technique, surface-enhanced Raman spectroscopy (SERS) needs efficient and highly responsive substrates to further enhance its sensitivity and utility. In this work, the preparation and characterisation of polyacrylonitrile/gold nanoparticle (PAN/AuNPs) composite porous films have been described for SERS-based detection of methylene blue (MB) dye. The PAN/AuNPs composite films were prepared with a simple dip coating technique, yielding a highly porous structure with uniformly dispersed Au nanoparticles (AuNPs). Scanning electron microscopy (SEM) revealed a linked pore network within the films. In X-ray diffraction (XRD), the characteristic crystal peak of AuNP clusters was observed, proving the presence of AuNPs in the composite. UV-vis absorption spectra also indicated the existence of the AuNPs. The methylene blue (MB) dye has been detected using PAN/AuNPs composite SERS substrates. These substrates showed excellent sensitivity by detecting 50 nM dye concentration and enhancing the Raman peak intensity at 1622 cm -1 . The SERS enhancement factor (EF) for MB detection was determined to be around 10 6 , demonstrating the remarkable sensitivity of the PAN/AuNPs composite porous films. The findings demonstrate the enormous potential of PAN/AuNPs composite porous films as reliable SERS substrates, displaying their efficacy in detecting trace levels of analytes in chemical and biological sensing applications.
Keyphrases
- raman spectroscopy
- label free
- gold nanoparticles
- sensitive detection
- electron microscopy
- loop mediated isothermal amplification
- room temperature
- highly efficient
- real time pcr
- high resolution
- metal organic framework
- tissue engineering
- magnetic resonance imaging
- high intensity
- risk assessment
- heavy metals
- photodynamic therapy
- magnetic resonance
- mass spectrometry
- molecular dynamics
- human health
- network analysis