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Selective Labeling of Small Microplastics with SERS-Tags Based on Gold Nanostars: Method Optimization Using

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Area of Science:

  • Environmental Science
  • Materials Science
  • Analytical Chemistry

Background:

  • Microplastic pollution is a pervasive global environmental concern.
  • Current detection methods, like micro-Raman spectroscopy, are time-consuming due to single-particle analysis.
  • Accurate quantification of microplastics is crucial for environmental monitoring.

Purpose of the Study:

  • To develop a faster and more efficient method for microplastic detection.
  • To functionalize gold nanostars (AuNS) as Surface-Enhanced Raman Spectroscopy (SERS)-tags for selective microplastic coupling.
  • To validate the SERS-based approach on environmental samples.

Main Methods:

  • Functionalization of gold nanostars (AuNS) to act as SERS-tags.
  • Selective coupling of SERS-tags to microplastics on filters.
  • Rapid scanning of filter areas using SERS for microplastic identification.
  • Validation using fabricated and real marine samples.

Main Results:

  • Achieved selective coupling of AuNS SERS-tags to microplastics.
  • Demonstrated a significant reduction in analysis time (approximately 2 orders of magnitude) compared to traditional methods.
  • Successfully applied the SERS-based approach to filters used in routine environmental monitoring.

Conclusions:

  • The developed SERS-based protocol offers a rapid and efficient alternative for microplastic detection.
  • This method can be integrated into existing environmental monitoring workflows.
  • The study paves the way for enhanced micro- and nanoplastics analysis in various environments.