Inhibiting Analyte Theft in Surface-Enhanced Raman Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection

Bart de Nijs, Cloudy Carnegie, István Szabó, David-Benjamin Grys, Rohit Chikkaraddy, Marlous Kamp, Steven J. Barrow, Charlie A. Readman, Marie-Elena Kleemann, Oren A. Scherman, Edina Rosta, Jeremy J. Baumberg

Research output: Contribution to journalArticlepeer-review

Abstract

Quantitative applications of surface-enhanced Raman spectroscopy (SERS) often rely on surface partition layers grafted to SERS substrates to collect and trap-solvated analytes that would not otherwise adsorb onto metals. Such binding layers drastically broaden the scope of analytes that can be probed. However, excess binding sites introduced by this partition layer also trap analytes outside the plasmonic “hotspots”. We show that by eliminating these binding sites, limits of detection (LODs) can effectively be lowered by more than an order of magnitude. We highlight the effectiveness of this approach by demonstrating quantitative detection of controlled drugs down to subnanomolar concentrations in aqueous media. Such LODs are low enough to screen, for example, urine at clinically relevant levels. These findings provide unique insights into the binding behavior of analytes, which are essential when designing high-performance SERS substrates.
Original languageEnglish
Pages (from-to)2988-2996
JournalSensors
Volume4
Issue number11
DOIs
Publication statusPublished - Sep 2019

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