Ultrasensitive detection of 2-Methylisoborneol and geosmin using a stainless steel wire-graphene-Au@Ag hollow nanoshell-modified SERS probe.

Authors

Yuting Gong, Yuzhu Li, Min Chen, Anhui Lin, Yanfang Wu, Bingyuan Su, Xiaomei Chen

Published in

Analytica chimica acta. Volume 1421. Pages 346049. Nov 01, 2026. Epub Jul 28, 2026.

Abstract

2-Methylisoborneol (2-MIB) and geosmin (GSM) are algal metabolites causing earthy/musty odors in aquaculture, leading to economic losses. Traditional analytical methods have limitations such as time consumption, complex operation, insufficient sensitivity, and difficulty in on-site application. To address these limitations, we developed a surface-enhanced Raman scattering (SERS) platform using a stainless steel wire-graphene-Au@Ag hollow nanoshells-polydimethylsiloxane (SSW-G-Au@Ag HNSs-PDMS) probe for the ultrasensitive detection of 2-MIB and GSM.
Au@Ag HNSs serve as high-performance SERS substrates, amplifying Raman signals via strong localized surface plasmon resonance, while G further enhances sensitivity through π-π stacking and charge transfer. The SSW provides structural rigidity, and the PDMS coating ensures stability, improving detection reproducibility. This method achieves a wide linear detection range (1 ng L^-1-1 mg L^-1) and ultralow detection limits (0.25 ng L^-1 for 2-MIB, 0.38 ng L^-1 for GSM), demonstrating exceptional sensitivity. The proposed method has been successfully applied to the detection of real aquaculture water, with GSM concentrations spanning 0.09-0.18 mg L^-1 and 2-MIB levels ranging from 0.12 to 0.25 mg L^-1, and the recovery of the SERS method (96.0% to 108.0% for GSM, 96.0% to 104.0% for 2-MIB) showed no significant difference compared with that of the GC-MS method (92.0% to 104.0% for GSM, 96.0% to 104.0% for 2-MIB). Compared to traditional techniques, this approach offers rapid, convenient, and interference-resistant detection.
This method utilizes portable sensing probes, which have a fast response and can achieve real-time monitoring. It has broad application prospects in food safety monitoring and water quality control.

PMID:
42702464
Bibliographic data and abstract were imported from PubMed on 07 Sep 2026.

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