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Detection of Sub-Micro- and Nanoplastic Particles on Gold Nanoparticle-Based Substrates by Surface-Enhanced Raman Scattering (SERS) Spectroscopy
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This dataset supports a study demonstrating that a gold nanoparticle-based substrate using surface-enhanced Raman spectroscopy can detect plastic particles smaller than one micrometer, including nanoplastics below 100 nanometers. The technique offers a significant advance over conventional methods that cannot detect particles at these scales.
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.
More Papers Like This
Detection of Sub-Micro- and Nanoplastic Particles on Gold Nanoparticle-Based Substrates by Surface-Enhanced Raman Scattering (SERS) Spectroscopy
AI summary Read the abstract
Researchers demonstrated a gold nanoparticle-based surface-enhanced Raman spectroscopy technique capable of detecting sub-micrometer and nanoplastic particles too small for conventional methods. This dataset release accompanies the main publication and provides the underlying spectral measurements from the study.
Detection of Sub-Micro- and Nanoplastic Particles on Gold Nanoparticle-Based Substrates through Surface-Enhanced Raman Scattering (SERS) Spectroscopy
AI summary Read the abstract
Gold nanoparticle-based SERS substrates were used to detect sub-micro and nanoplastic particles including polystyrene, PET, and PVC, demonstrating that this technique can identify plastic particles below the size threshold of conventional Raman microscopy.
Dataset: Submicron‐ and Nanoplastic Detection at Low Micro‐ to Nanogram Concentrations Using Gold Nanostar‐Based Surface‐Enhanced Raman Scattering (SERS) Substrates
AI summary Read the abstract
This dataset accompanies research on detecting submicron and nanoplastic particles at very low concentrations using surface-enhanced Raman scattering (SERS), an advanced optical technique. The data supports development of more sensitive tools for finding the smallest plastic particles in complex samples like food, beverages, and marine water.
Dataset: Submicron‐ and Nanoplastic Detection at Low Micro‐ to Nanogram Concentrations Using Gold Nanostar‐Based Surface‐Enhanced Raman Scattering (SERS) Substrates
AI summary Read the abstract
This dataset accompanies research on detecting submicron and nanoplastic particles at very low concentrations using surface-enhanced Raman scattering (SERS). Better analytical tools for finding nanoplastics in food and environmental samples are critical for understanding actual human exposure levels.
Submicron- and nanoplastic detection at low micro- to nanogram concentrations using gold nanostar-based surface-enhanced Raman scattering (SERS) substrates
AI summary Read the abstract
This study developed gold nanostar-based surface-enhanced Raman scattering (SERS) substrates capable of detecting submicron- and nanoplastic particles at very low concentrations (micro- to nanogram per liter), filling a gap in analytical methods for the smallest plastic particles in complex matrices such as food and marine waters.
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