Rapid detection of paraquat residues in green tea using surface-enhanced Raman spectroscopy (SERS) coupled with gold nanostars

As consumers demand safer food products, constant monitoring of pesticide residues in food is crucial. Conventional chromatography-based analytical methods are destructive and require time-consuming sample preparations. This study aims to establish a novel, facile, and rapid testing technique using surface-enhanced Raman spectroscopy (SERS) coupled with gold nanostars as a SERS substrate. The SERS performance was evaluated by detecting a widely used pesticide, paraquat, in green tea samples. Spiky tips of gold nanostars can serve as SERS hot spots to intensify Raman signals of analyte molecules. Additionally, the rough topography of gold nanostars has increased surface area, enabling good substrate-analyte interactions. Electron microscopes and Zetasizer were employed for the characterization of gold nanostar substrate. The detection limit of this SERS method is 0.2 mg/kg for paraquat in green tea. The results indicate that SERS coupled with gold nanostars is a practical approach and has great potential to be applied for qualification and quantification of trace contaminants in foods.

Automated summary

This study established a novel, facile, and rapid testing technique using surface-enhanced Raman spectroscopy (SERS) coupled with gold nanostars as a SERS substrate to detect pesticide residues in green tea. The spiky tips of gold nanostars acted as SERS hot spots to enhance Raman signals, while the rough topography increased surface area for better substrate-analyte interactions. The SERS method showed great potential for qualification and quantification of trace contaminants in foods with a detection limit of 0.2 mg/kg for paraquat in green tea samples.