Lu Yudong, Wu Changji, Wu Yang, You Ruiyun, Lin Gang, Chen Youqiang, Feng Shangyuan
College of Chemistry and Materials Science, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou 350117, China.
Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou 350117, China.
Materials (Basel). 2018 Jul 12;11(7):1197. doi: 10.3390/ma11071197.
Surface-enhanced Raman scattering (ERS) is a sensitive technique for the detection of low concentration analytes. In this study, we used cellulose fibers (CF) as the templates for the loading of silver nanoparticles (Ag NPs), and the obtained CF-Ag was applied in the detection of R6G and Malachite Green (MG) by surface-enhanced Raman scattering. The adsorption technique was employed in the sample preparation, and the optimal detecting status was identified in the dynamic range (sample status ranging from wet to dry) for different concentration of analytes. In comparison to Ag NPs, CF-Ag showed enhanced performance for adsorptive detection of Malachite Green, and the limit of detection was 5 × 10 M.
表面增强拉曼散射（SERS）是一种用于检测低浓度分析物的灵敏技术。在本研究中，我们使用纤维素纤维（CF）作为负载银纳米颗粒（Ag NPs）的模板，并将所得的CF-Ag应用于通过表面增强拉曼散射检测罗丹明6G（R6G）和孔雀石绿（MG）。在样品制备中采用了吸附技术，并针对不同浓度的分析物在动态范围（样品状态从湿到干）内确定了最佳检测状态。与Ag NPs相比，CF-Ag在孔雀石绿的吸附检测方面表现出增强的性能，检测限为5×10⁻⁸ M。
