Department of Chemistry, University of Saskatchewan, 110 Science Place, Thorvaldson Building, Saskatoon, SK S7N 5C9, Canada.
Int J Mol Sci. 2024 Aug 28;25(17):9327. doi: 10.3390/ijms25179327.
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 C 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. 10) 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 systems. The dye adsorption profiles were studied via SERS by fitting the isotherm results with the Hill model to yield the ΔG° 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.
在水资源中快速检测污染物对于保护环境至关重要，因此，越来越需要将环保材料用于水监测技术。在这种情况下，本研究报告了生物复合材料在 SERS 传感器开发中的作用。接枝壳聚糖被用作 Ag 纳米粒子 (NPs) 的基质支持物，用于表面增强拉曼光谱 (SERS)。壳聚糖 (CS) 通过掺入 S-乙酰巯基丁二酸酐 (SAMSA) 用硫醇和羧酸基团进行修饰，得到 CS-SAMSA。然后，Ag NPs 被固定在 CS-SAMSA（Ag@CS-SAMSA）上，并通过光谱方法（IR、Raman、NIR、固态 C NMR 与 CP-MAS、XPS 和 TEM）进行表征。Ag@CS-SAMSA 被评估为 SERS 的基底，其中亚甲基蓝 (MB) 被用作模型染料吸附物。Ag@CS-SAMSA 传感器表现出高灵敏度（增强因子约为 10）和可重复使用性，可重复使用三个循环，具有可接受的重现性和存储稳定性。拉曼成像显示出较大的 SERS 效应，而 MB 的检测范围为 1-100 μM。生物复合材料传感器的检测限 (LOD) 和定量限 (LOQ) 进行了表征，显示出与当前系统相媲美的性能。通过将等温线结果拟合到 Hill 模型，通过 SERS 研究了染料吸附曲线，得到了吸附过程的 ΔG°。这项研究展示了一种具有可持续性的双功能生物复合材料，具有定制的吸附和传感性能，适用于先进水处理技术和环境监测应用。
