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Hierarchical Magnetic Films for High-Performance Plasmonic Sensors
Stephanie M V Gallant1, Liam D Whelan1,2, Lucas D Stewart1,2
1Department of Chemistry, Memorial University of Newfoundland, St. John's, NL A1B 3X7, Canada.
Langmuir : the ACS Journal of Surfaces and Colloids
|November 24, 2021
Summary
Researchers developed a new hierarchical plasmonic substrate using magnetic nanospheres. This substrate significantly enhances Raman spectroscopy signals for detecting environmental pollutants like polycyclic aromatic hydrocarbons (PAHs) at low concentrations.
Area of Science:
- Materials Science
- Spectroscopy
- Nanotechnology
Background:
- Hierarchically structured films are increasingly important in surface-enhanced Raman spectroscopy (SERS).
- Developing novel plasmonic substrates is crucial for enhancing SERS sensitivity and applicability.
Purpose of the Study:
- To create a novel hierarchical plasmonic substrate with enhanced Raman signal amplification.
- To demonstrate the substrate's effectiveness for detecting polycyclic aromatic hydrocarbons (PAHs) in complex environmental samples.
Main Methods:
- Fabrication of patterned multilayers of magnetic iron oxide nanospheres using an external magnetic field to form radial ridges.
- Utilizing the combined magnetic and plasmonic properties of the substrate to generate electromagnetic hotspots.
- Employing gas chromatography-mass spectrometry (GC-MS) for validation of SERS results.
Main Results:
- The hierarchical substrate demonstrated significant and reliable Raman enhancement for PAHs.
- Detection of PAHs below 1 part per million (ppm) with an impressive signal-to-noise ratio (SNR).
- The substrate exhibited remarkable stability and robustness in a real-world matrix of produced water (PW).
Conclusions:
- The novel magnetic multilayer plasmonic substrate offers a powerful platform for sensitive SERS detection.
- The substrate's design facilitates effective analyte adsorption and signal enhancement, suitable for environmental monitoring.
- Simple fabrication methods and scalability suggest strong potential for real-world applications.

