AI Article Synopsis

  • The study addresses the challenges of using paper-based SERS substrates for detecting aqueous solutions due to their hydrophilic properties, which can reduce sensitivity and accuracy.
  • Researchers developed a hydrophobic substrate (CFP@PDA@AuNPs) by synthesizing gold nanoparticles on polydopamine-coated cellulose paper to enhance SERS performance.
  • The improved substrate demonstrated remarkable sensitivity, detecting molecules like methylene blue at low concentrations with a low standard deviation, indicating potential applications in food safety and environmental monitoring.

Article Abstract

Considering the inherent hydrophilic and porous nature of paper, the rapid absorption and diffusion of aqueous analyte solutions on paper-based SERS substrates may severely affect the Raman detection sensitivity and accuracy in the detection of target molecules. In this work, a series of hydrophobic CFP@PDA@AuNPs stripes were obtained through in situ synthesizing of gold nanoparticles (AuNPs) on a polydopamine (PDA)-decorated cellulose filter paper (CFP) and functionalized with perfluorodecanethiol (PFDT). When the SERS performance of the substrates was examined using 4-ATP, the hydrophobic CFP@PDA@AuNPs substrate showed superior sensitivity, reproducibility and stability due to the hydrophobic enrichment effect, with the detection limit decreasing to 10 M and the enhancement factor as high as 2.55 × 10. More importantly, it was feasible to apply the hydrophobic paper substrate as an excellent SERS sensor to detect methylene blue (MB) residues in lake water in a highly sensitive manner. The lowest detectable limit of MB was 100 nM, and it showed a low relatively standard deviation (RSD) value of 5.28%. Hydrophobic CFP@PDA@AuNPs stripes may serve as excellent sensors for target molecule detection and have tremendous potential in food security, and environmental and chemical detection.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267967PMC
http://dx.doi.org/10.3390/nano12132163DOI Listing

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