SERS-integrated centrifugal microfluidic platform for the detection and quantification of Chemical Warfare Agents in single-component solution and mixtures

Chemical Warfare Agents (CWAs) are toxic chemicals. Among CWAs, nerve agents are lethal compounds at low concentrations, and, thus, there is the need to detect and quantify the danger. The combination of Surface-Enhanced Raman Spectroscopy (SERS) with centrifugal microfluidic (CM) systems is a possibility for a safer handling and a fast analysis of nerve agents. In this work, the SERS signal from single-component solutions and mixtures of Tabun (GA) and VX were analyzed with Au-capped silicon nanopillar (NP) SERS substrates integrated on a CM platform and recorded with a custom-built Raman System (RS). Univariate and multivariate analysis methods were applied for the quantification. Both GA and VX were detected and quantified individually with Partial Least Squares regression (PLSR) models, with LoD and LoQ values of 7.39 ppm and 22.17 ppm respectively for GA, and 7.13 ppm and 21.39 ppm for VX. Detection and quantification of GA and VX in mixtures was achieved with Supported Vector Machine (SVM), obtaining R 2 of the prediction 0.87 and 0.95, respectively. The results obtained show the potential of the SERS-integrated CM platform combined with machine learning analysis as a reliable method for CWAs on-site detection and quantification and for national security applications in real-case scenarios. • Advancing nerve agent analysis by integration of SERS with centrifugal microfluidic. • Detecting Tabun and VX using innovative SERS substrates. • Accurate nerve agent quantification with machine learning algorithms. • Real-Case Scenario Application: Reliable on-site CWA detection for security. • Automation and Label-Free Detection: efficient analysis with automated processes.

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Publication Details

Journal
Sensors and Actuators B Chemical
Published
2024-09-27
DOI
https://doi.org/10.1016/j.snb.2024.136698
Citations
18
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
11.92

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article

SERS-integrated centrifugal microfluidic platform for the detection and quantification of Chemical Warfare Agents in single-component solution and mixtures

Lasse Højlund Eklund Thamdrup, Roman Slipets, Elodie Dumont, Anja Boisen et al.
18 citations
Sensors and Actuators B Chemical
Spectroscopy Techniques in Biomedical and Chemical Research
11.92
article

SERS-integrated centrifugal microfluidic platform for the detection and quantification of Chemical Warfare Agents in single-component solution and mixtures

Lasse Højlund Eklund Thamdrup, Roman Slipets, Elodie Dumont, Anja Boisen, Gohar Soufi, Tomas Rindzevicius, Per Ola Andersson, Nora Molander, Giulia Zappalá
article en
18 citations

Abstract

Chemical Warfare Agents (CWAs) are toxic chemicals. Among CWAs, nerve agents are lethal compounds at low concentrations, and, thus, there is the need to detect and quantify the danger. The combination of Surface-Enhanced Raman Spectroscopy (SERS) with centrifugal microfluidic (CM) systems is a possibility for a safer handling and a fast analysis of nerve agents. In this work, the SERS signal from single-component solutions and mixtures of Tabun (GA) and VX were analyzed with Au-capped silicon nanopillar (NP) SERS substrates integrated on a CM platform and recorded with a custom-built Raman System (RS). Univariate and multivariate analysis methods were applied for the quantification. Both GA and VX were detected and quantified individually with Partial Least Squares regression (PLSR) models, with LoD and LoQ values of 7.39 ppm and 22.17 ppm respectively for GA, and 7.13 ppm and 21.39 ppm for VX. Detection and quantification of GA and VX in mixtures was achieved with Supported Vector Machine (SVM), obtaining R 2 of the prediction 0.87 and 0.95, respectively. The results obtained show the potential of the SERS-integrated CM platform combined with machine learning analysis as a reliable method for CWAs on-site detection and quantification and for national security applications in real-case scenarios. • Advancing nerve agent analysis by integration of SERS with centrifugal microfluidic. • Detecting Tabun and VX using innovative SERS substrates. • Accurate nerve agent quantification with machine learning algorithms. • Real-Case Scenario Application: Reliable on-site CWA detection for security. • Automation and Label-Free Detection: efficient analysis with automated processes.

Sensors and Actuators B ChemicalVol. 422
Swedish Defence Research Agency (SE), Danish National Research Foundation (DK), The Velux Foundations (DK), BioInnovation Institute (DK), Technical University of Denmark (DK)
Novo Nordisk Fonden, Horizon 2020 Framework Programme
Openalex Percentile: Top 1%
Spectroscopy Techniques in Biomedical and Chemical Research
11.92
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