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基于 3D 银枝状结构和分子印迹识别子三明治杂交的纸质表面增强拉曼散射传感平台用于新烟碱类定量分析。

Paper-Based SERS Sensing Platform Based on 3D Silver Dendrites and Molecularly Imprinted Identifier Sandwich Hybrid for Neonicotinoid Quantification.

机构信息

School of Chemistry and Chemical Engineering , University of Jinan , Jinan 250022 , China.

Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials , University of Jinan , Jinan 250022 , China.

出版信息

ACS Appl Mater Interfaces. 2020 Feb 19;12(7):8845-8854. doi: 10.1021/acsami.9b20341. Epub 2020 Feb 7.

Abstract

Real-time monitoring of neonicotinoid pesticide residues is of great significance for food security and sustainable development of the ecological environment. Herein, a paper-based surface-enhanced Raman scattering (SERS) amplified approach was proposed by virtue of multilayered plasmonic coupling amplification. The unique plasmonic SERS multilayer was constructed using three-dimensional (3D) silver dendrite (SD)/electropolymerized molecular identifier (EMI)/silver nanoparticle (AgNP) sandwich hybrids with multiple hotspots and a strong electromagnetic field in nanogaps. Dendritelike 3D silver materials with remarkably high accessible surface areas and the lightning rod effect constituted the first-order enhancement of paper-based sensors. Molecular identifiers coated upon an SD layer as the interlayer were used for target capture and enrichment. Subsequently, AgNPs featuring rough surface and local plasma resonance decorated as the top layer formed the secondary enhancement of the amplification strategy. As the most brilliant part, dendritelike 3D silver coupled with AgNPs has established double Ag layers to accomplish a multistage enhancement of SERS signals based on the superposition of their electromagnetic fields. Owning to the distinctive design of the multiple coupling amplification strategy, the fabricated SERS paper chips demonstrated impressive specificity and ultrahigh sensitivity in the detection of imidacloprid (IMI), with a detection limit as low as 0.02811 ng mL. More importantly, the multiple SERS enhancement paper chip holds great potential for automated screening of a variety of contaminants.

摘要

实时监测新烟碱类农药残留对食品安全和生态环境的可持续发展具有重要意义。在此,本文提出了一种基于纸基的表面增强拉曼散射(SERS)放大方法,该方法利用多层等离子体耦合放大。独特的等离子体 SERS 多层结构是通过三维(3D)银枝晶(SD)/电聚合分子识别器(EMI)/银纳米颗粒(AgNP)三明治杂化体与纳米间隙中的多个热点和强电磁场构建的。具有高比表面积和避雷针效应的枝晶状 3D 银材料构成了纸基传感器的一阶增强。作为夹层涂覆在 SD 层上的分子识别器用于目标捕获和富集。随后,作为顶层的具有粗糙表面和局部等离子体共振的 AgNPs 进行二次增强放大策略。作为最精彩的部分,枝晶状 3D 银与 AgNPs 结合,形成了双层 Ag 来完成基于电磁场叠加的 SERS 信号的多级增强。由于多重耦合放大策略的独特设计,所制备的 SERS 纸芯片在检测吡虫啉(IMI)时表现出令人印象深刻的特异性和超高灵敏度,检测限低至 0.02811ng mL。更重要的是,这种多重 SERS 增强纸芯片在自动化筛选各种污染物方面具有巨大的潜力。

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