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.

Highlights

  • As a result of the degradation of products composed of synthetic polymers such as polystyrene (PS), poly(ethylene terephthalate) (PET), polypropylene (PP), and polyethylene (PE), small particles, commonly referred to as micro(

  • Studies have reported the presence of microplastic particles within various products meant for human consumption [1,2] as well as in samples collected from oceans [3], soils [4], and the atmosphere [5] worldwide

  • This study aims to address this gap in the field through using surface-enhanced Raman scattering (SERS) substrates fabricated through the layer-by-layer technique

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Summary

Introduction

As a result of the degradation of products composed of synthetic polymers such as polystyrene (PS), poly(ethylene terephthalate) (PET), polypropylene (PP), and polyethylene (PE) (e.g., food and beverage packaging), small particles, commonly referred to as micro(

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