Published April 27, 2021 | Version Version 1
Dataset Open

Detection of Sub-Micro- and Nanoplastic Particles on Gold Nanoparticle-Based Substrates by Surface-Enhanced Raman Scattering (SERS) Spectroscopy

  • 1. Adolphe Merkle Institute
  • 2. Adolphe Merkle Institute; Department of Chemistry at the University of Fribourg

Description

These datasets are used to produce the figures/tables published in our Nanomaterials article entitled:

Detection of Sub-Micro- and Nanoplastic Particles on Gold Nanoparticle-Based Substrates by Surface-Enhanced Raman Scattering (SERS) Spectroscopy

by

Jessica Caldwell, Patricia Taladriz-Blanco, Barbara Rothen-Rutishauser, and Alke Petri-Fink


Abstract: Small plastic particles such as micro- (<5 mm), sub-micro- (1 µm–100 nm) and nanoplastics (<100 nm) are known to be ubiquitous within our surrounding environment. However, to date relatively few methods exist for the reliable detection of nanoplastic particles in relevant sample matrices such as foods or environmental samples. This lack of relevant data is likely a result of key limitations (e.g., resolution and/or scattering efficiency) for common analytical techniques such as Fourier transform infrared or Raman spectroscopy. This study aims to address this knowledge gap in the field through the creation of surface enhanced Raman scattering spectroscopy substrates utilizing spherical gold nanoparticles with 14 nm and 46 nm diameters to improve the scattering signal obtained during Raman spectroscopy measurements. The substrates are then used to analyze polystyrene particles with sizes of 161 nm or 33 nm and poly(ethylene terephthalate) particles with an average size of 62 nm. Through this technique, plastic particles could be detected at concentrations as low as 10 µg/mL, and analytical enhancement factors of up to 446 were achieved.

Files

Figure1_UVVisSEM46nmAuNPSubstrates.zip

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Additional details

Funding

Swiss National Science Foundation
Nanoparticle Characterization 200020_184635