A Highly Sensitive Chitosan-Based SERS Sensor for the Trace Detection of a Model Cationic Dye
Date
2024-08-28
Authors
Vafakish, Bahareh
Wilson, Lee
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MDPI
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Article
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Abstract
The rapid detection of contaminants in water resources is vital for safeguarding the environment, where the use of eco-friendly materials for water monitoring technologies has become increasingly prioritized. In this context, the role of biocomposites in the development of a SERS sensor is reported in this study. Grafted chitosan was employed as a matrix support for Ag nanoparticles (NPs) for the surface-enhanced Raman spectroscopy (SERS). Chitosan (CS) was decorated with thiol and carboxylic acid groups by incorporating S-acetyl mercaptosuccinic anhydride (SAMSA) to yield CS-SAMSA. Then, Ag NPs were immobilized onto the CS-SAMSA (Ag@CS-SAMSA) and characterized by spectral methods (IR, Raman, NIR, solid state 13C NMR with CP-MAS, XPS, and TEM). Ag@CS-SAMSA was evaluated as a substrate for SERS, where methylene blue (MB) was used as a model dye adsorbate. The Ag@CS-SAMSA sensor demonstrated a high sensitivity (with an enhancement factor ca. 108) and reusability over three cycles, with acceptable reproducibility and storage stability. The Raman imaging revealed a large SERS effect, whereas the MB detection varied from 1–100 μM. The limits of detection (LOD) and quantitation (LOQ) of the biocomposite sensor were characterized, revealing properties that rival current state-of-the-art systems. The dye adsorption profiles were studied via SERS by fitting the isotherm results with the Hill model to yield the ΔG°ads for the adsorption process. This research demonstrates a sustainable dual-function biocomposite with tailored adsorption and sensing properties suitable for potential utility in advanced water treatment technology and environmental monitoring applications.
Description
The version of record of this article, first published in MDPI, is available online at Publisher’s website: https://doi.org/10.3390/ijms25179327
Keywords
surface-enhanced Raman spectroscopy (SERS), methylene blue, silver nanoparticles, chitosan, dye adsorption, structure–function relationships
Citation
Vafakish, B.; Wilson, L.D. A Highly Sensitive Chitosan-Based SERS Sensor for the Trace Detection of a Model Cationic Dye. Int. J. Mol. Sci. 2024, 25, 9327. https://doi.org/10.3390/ijms25179327
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DOI
10.3390/ijms25179327