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A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants

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Freeze Surface-Enhanced Raman Scattering Coupled with Thin-Layer Chromatography: Pesticide Detection and

Yu Fukunaga¹, Tetsuo Okada^1,2

¹Department of Chemistry, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8551, Japan.

Analytical Chemistry

|September 22, 2022

Summary

Combining thin-layer chromatography with freeze-enhanced surface-enhanced Raman scattering (TLC-FSERS) significantly boosts sensitivity for pesticide detection. This method allows for on-site, highly sensitive analysis of complex mixtures like beverages.

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Area of Science:

Analytical Chemistry
Spectroscopy
Chromatography

Background:

Thin-layer chromatography (TLC) is a simple separation technique, but lacks detailed molecular information.
Surface-enhanced Raman scattering (SERS) coupled with TLC (TLC-SERS) offers molecular insights but faces sensitivity limitations.
Previous TLC-SERS methods suffer from low analyte solubility, poor nanoparticle control, and stationary phase interference.

Purpose of the Study:

To demonstrate the superiority of freeze-enhanced SERS (FSERS) when combined with TLC (TLC-FSERS).
To improve sensitivity and reduce interference in SERS analysis performed on TLC plates.
To enable on-site, sensitive detection and quantification of analytes, such as pesticides.

Main Methods:

Development and optimization of freeze-enhanced surface-enhanced Raman scattering (FSERS) for TLC plates.
Utilizing freeze concentration to enhance analyte and silver nanoparticle (AgNP) proximity and aggregation.
Employing adenine as an internal standard for quantitative analysis of pesticides.

Main Results:

TLC-FSERS achieved a sensitivity enhancement of approximately 10^3 compared to conventional TLC-SERS.
The method effectively eliminated interference from the TLC stationary phase.
On-site detection of pesticides at nanomolar (nM) levels was successfully demonstrated.
Quantification of pesticides was achieved using the internal standard.

Conclusions:

TLC-FSERS offers a highly sensitive and robust platform for on-site chemical analysis.
The combination overcomes limitations of traditional TLC-SERS, enabling sensitive detection of trace compounds.
The method was successfully applied to analyze pesticides in a commercial green tea beverage.