Ultrasensitive Surface–Enhanced Raman Spectroscopy Detection by Porous Silver Supraparticles from Self–lubricating Drop Evaporation

07 July 2022, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

This work demonstrates an original and ultrasensitive approach for Surface-Enhanced Raman Spectroscopy (SERS) detection based on evaporation of self-lubricating drops containing silver supraparticles. The developed method detected an extremely low concentration of analyte that was enriched and concentrated on sensitive SERS sites of the compact supraparticles formed from drop evaporation. A low limit of detection (LOD) of 10-16 M was achieved for a model hydrophobic compound rhodamine 6G (R6G). The quantitative analysis of R6G concentration was obtained from 10-5 M to 10-11 M. In addition, for a model micropollutant in water triclosan, the detection limit of 10-6 M was achieved by using microliter sample solutions. The intensity of SERS detection in our approach was robust to the dispersity of the nanoparticles in the drop but became stronger after a longer drying time. The mechanism underlying the ultrasensitive detection is the sequential process of concentration, extraction, and absorption of the analyte during evaporation of self-lubrication drop and hot spot generation for intensification of SERS signals. This novel approach for sample preparation in ultrasensitive SERS detection can be applied to the detection of chemical and biological signatures in areas such as environment monitoring, food safety, and biomedical diagnostics.

Keywords

Silver nanoparticles
ultrasensitive SERS detection
Drop evaporation
Self–lubrication
Oil ring

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