Abstract：
Cellulose nanofiber (CNF) holds great promise in applications such as surface-enhanced Raman scattering (SERS), catalysis, esthesia, and detection. This study aimed to build novel CNF-based SERS substrates through a facile synthetic method. Citrate-reduced gold nanoparticles (AuNPs) were adsorbed on the cationized CNF surface due to electrostatic interactions, and uniform AuNPs@(2,3-epoxypropyl trimethylammonium chloride)EPTMAC@CNF flexible SERS substrates were prepared by a simple vacuum-assisted filtration method. The probe molecule methylene blue was chosen to assess the performance of the CNF-based SERS substrate with a sensitivity up to 10-9 M, superior signal reproducibility (relative standard deviation (RSD) = 4.67%), and storage stability (more than 30 days). Tensile strength tests indicated that the CNF-based films had good mechanical properties. In addition, CNF-based substrates can easily capture and visually identify microplastics in water. These results demonstrate the potential application of the flexible, self-assembled AuNPs@EPTMAC@CNF flexible SERS substrate for prompt and sensitive detection of trace substances.
摘要：
纤维素纳米纤维（CNF）在表面增强拉曼散射（SERS）等应用中具有广阔的前景，催化作用,麻醉,和检测。本研究旨在通过简单的合成方法构建新型的基于CNF的SERS基底。由于静电相互作用，柠檬酸盐还原的金纳米颗粒（AuNPs）吸附在阳离子化的CNF表面，通过简单的真空辅助过滤方法制备了均匀的AuNPs@（2,3-环氧丙基三甲基氯化铵）EPTMAC@CNF柔性SERS基底。选择探针分子亚甲基蓝来评估基于CNF的SERS底物的性能，其灵敏度高达10-9M，优越的信号再现性（相对标准偏差（RSD）=4.67％），和储存稳定性（30天以上）。拉伸强度测试表明CNF基薄膜具有良好的机械性能。此外,基于CNF的基质可以轻松捕获和视觉识别水中的微塑料。这些结果证明了灵活的潜在应用，自组装AuNPs@EPTMAC@CNF柔性SERS基底，用于快速、灵敏地检测痕量物质。
