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Author Spotlight: Development and Application of SERS Flexible Substrates Using Synthesized AgNPs
Published on: November 17, 2023
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Submicron- and nanoplastic detection at low micro- to nanogram concentrations using gold nanostar-based
Jessica Caldwell1, Patricia Taladriz-Blanco2, Laura Rodriguez-Lorenzo2
1Adolphe Merkle Institute, University of Fribourg Chemin des Verdiers 4 1700 Fribourg Switzerland alke.fink@unifr.ch.
Summary
Researchers developed gold nanostar-based SERS substrates for detecting submicron and nanoplastics. This novel method shows promise for identifying tiny plastic particles in various environmental and food samples.
Area of Science:
- Materials Science
- Environmental Science
- Analytical Chemistry
Background:
- Submicron and nanoplastic particles (<100 nm) are increasingly detected in diverse matrices like marine environments, food, and beverages.
- Existing analytical techniques struggle to detect these small plastic particles at anticipated low concentrations.
- Surface-enhanced Raman scattering (SERS) offers potential for enhanced signal detection of plastics below conventional resolution limits.
Purpose of the Study:
- To create and evaluate SERS substrates utilizing gold nanostars for the detection of submicron and nanoplastics.
- To determine the sensitivity limits for detecting specific nanoplastic particles using the developed SERS substrates.
Main Methods:
- Fabrication of SERS substrates using gold nanostars.
- Assessment of substrate performance for detecting polystyrene (33 nm) and poly(ethylene terephthalate) (36 nm) nanoplastics.
- Analysis of detection limits for various plastic particle sizes, including polypropylene (121 nm) and polyethylene (126 nm).
Main Results:
- Detection of 33 nm polystyrene down to 1.25 μg mL⁻¹.
- Detection of 36 nm poly(ethylene terephthalate) down to 5 μg mL⁻¹.
- Demonstrated potential for nanoplastic detection, with performance varying based on plastic properties.
Conclusions:
- Gold nanostar-based SERS substrates show significant promise for sensitive nanoplastic detection.
- The analytical performance is influenced by the specific chemical and physical properties of the plastic particles.
- This technique offers a viable approach for analyzing micro- and nanoplastics in complex sample matrices.

