Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China.
School of Electronic and Information Engineering, Soochow University, Suzhou 215000, Jiangsu, China.
Carbohydr Polym. 2022 Feb 1;277:118890. doi: 10.1016/j.carbpol.2021.118890. Epub 2021 Nov 15.
Nanocellulose holds considerable promise as an effective surface-enhanced Raman scattering (SERS) substrate for sensitive detection of trace targets. Flexible and high-sensitivity two-dimensional (2D) SERS substrates based on nanocrystalline cellulose (CNC) film were successfully developed via self assembly of two plasma nanoparticles: gold nanoflowers (AuNFs) and silver-coated gold nanocubes (Au@AgNCs). The loading process allows the precise control of nanoparticle distribution density and uniformity on CNC film, which are closely related to the plasma coupling effect between particles. The obtained CNC/Au@AgNC flexible two-dimensional substrate could sensitively detect pesticide residues on apple surface, and the detection limits (LOD) of dimethoate and acetamiprid were 4.1 and 10.7 μg/L, respectively. In addition, Raman signal intensity showed a good linear relationship with pesticide concentration in the range of 10-100 μg/L, which provided great potential for high sensitivity and field detection of dangerous targets.
纳米纤维素有望成为一种有效的表面增强拉曼散射（SERS）基底，用于灵敏检测痕量目标。通过自组装两种等离子体纳米粒子：金纳米花（AuNFs）和银包裹的金纳米立方体（Au@AgNCs），成功制备了基于纳米纤维素（CNC）薄膜的柔性二维（2D）高灵敏度 SERS 基底。负载过程允许精确控制纳米粒子在 CNC 薄膜上的分布密度和均匀性，这与颗粒之间的等离子体耦合效应密切相关。得到的 CNC/Au@AgNC 柔性二维基底可以灵敏地检测苹果表面的农药残留，对乐果和啶虫脒的检测限（LOD）分别为 4.1 和 10.7 μg/L。此外，拉曼信号强度与 10-100 μg/L 范围内的农药浓度呈良好的线性关系，为危险目标的高灵敏度和现场检测提供了巨大潜力。
