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Optical Trapping of Plasmonic Nanoparticles for In Situ Surface-Enhanced Raman Spectroscopy Characterizations
Published on: June 23, 2022
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Plasmonic nanoparticle's anti-aggregation application in sensor development for water and wastewater analysis
Shailja Pandey1, Shipra Mital Gupta2, Surendra Kumar Sharma3
1University School of Basic and Applied Sciences, Guru Gobind Singh Indraprastha University, New Delhi, 110078, India.
Environmental Monitoring and Assessment
|June 23, 2023
Summary
This review explores anti-aggregation strategies using plasmonic nanoparticles for sensitive and selective colorimetric detection of water pollutants like heavy metals and organic molecules.
Area of Science:
- Analytical Chemistry
- Materials Science
- Environmental Science
Background:
- Colorimetric sensors are vital for water pollutant detection.
- Plasmonic nanoparticles enable localized surface plasmon resonance (LSPR)-based sensing.
- LSPR sensing employs strategies like etching, growth, aggregation, and anti-aggregation.
Purpose of the Study:
- To review the anti-aggregation strategy for plasmonic nanoparticle-based colorimetric sensors.
- To classify these sensors and highlight the role of nanoparticles.
- To summarize sensing of heavy metal ions, anions, and organic molecules.
Main Methods:
- Focus on the anti-aggregation strategy in LSPR-based colorimetric sensing.
- Classification of anti-aggregation sensors.
- Summarization of pollutant detection methods.
Main Results:
- Anti-aggregation sensors exhibit high sensitivity, selectivity, and applicability.
- Demonstrated effectiveness for detecting heavy metal ions, anions, and organic molecules.
- Identified key roles of plasmonic nanoparticles in sensor performance.
Conclusions:
- The anti-aggregation strategy is a promising approach for water pollutant detection.
- Further research is needed to address current challenges and optimize sensor performance.
- Future directions include enhancing sensor robustness and expanding detection capabilities.

