Liu Hai, Hu Yufeng, Zhang Zhiyang
School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, China.
Coastal Zone Ecological Environment Monitoring Technology and Equipment Shandong Engineering Research Center, Shandong Key Laboratory of Coastal Environmental Processes, CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Sensors (Basel). 2025 Apr 18;25(8):2575. doi: 10.3390/s25082575.
Surface-enhanced Raman scattering (SERS) spectroscopy faces challenges in achieving both high sensitivity and reproducibility for the detection of real samples, particularly in high-salinity matrices. In this study, we developed a high-performance, salt-resistant three-dimensional (3D) SERS substrate by integrating physically induced colloidal silver nanoparticle aggregates (AgNAs) with an agarose hydrogel. AgNAs were prepared using a freeze-thaw-ultrasonication method to minimize interference in SERS signals while significantly enhancing the detection efficiency of trace pollutants. The incorporation of the agarose hydrogel not only improved the substrate's pollutant enrichment capability, but also effectively prevented the aggregation and sedimentation of AgNAs in salt solutions. The developed SERS substrate exhibited an ultralow detection limit of 10 M for Nile Blue (NB), with a 100-fold increase in sensitivity compared to colloidal AgNAs and drop-cast AgNAs solid substrates. The analytical enhancement factor (AEF) for malachite green (MG) achieved a value of 1.4 × 10. Furthermore, the substrate demonstrated excellent signal uniformity, with a relative standard deviation (RSD) of 6.74% within a 200 μm × 200 μm detection area and also show a satisfactory RSD of only 9.38% within a larger area of 1 mm × 1 mm. Notably, the 3D SERS substrate exhibited excellent stability under high-salinity conditions (0.5 M NaCl) and successfully detected a model pollutant (MG) in real seawater samples using the standard addition method. This study provides a novel strategy for highly sensitive SERS detection of trace pollutants in saline environments, offering promising applications in environmental monitoring and marine pollution analysis.
表面增强拉曼散射(SERS)光谱在检测实际样品时,尤其是在高盐度基质中,要实现高灵敏度和可重复性面临挑战。在本研究中,我们通过将物理诱导的胶体银纳米颗粒聚集体(AgNAs)与琼脂糖水凝胶相结合,开发了一种高性能、耐盐的三维(3D)SERS基底。采用冻融 - 超声法制备AgNAs,以最小化对SERS信号的干扰,同时显著提高痕量污染物的检测效率。琼脂糖水凝胶的加入不仅提高了基底对污染物的富集能力,还有效防止了AgNAs在盐溶液中的聚集和沉淀。所开发的SERS基底对尼罗蓝(NB)的检测限低至10 M,与胶体AgNAs和滴铸AgNAs固体基底相比,灵敏度提高了100倍。孔雀石绿(MG)的分析增强因子(AEF)达到1.4×10。此外,该基底表现出优异的信号均匀性,在200μm×200μm检测区域内相对标准偏差(RSD)为6.74%,在1mm×1mm的更大区域内RSD也仅为9.38%,令人满意。值得注意的是,3D SERS基底在高盐度条件(0.5 M NaCl)下表现出优异的稳定性,并使用标准加入法成功检测了实际海水样品中的模型污染物(MG)。本研究为在含盐环境中痕量污染物的高灵敏度SERS检测提供了一种新策略,在环境监测和海洋污染分析中具有广阔的应用前景。