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基于二维纳米颗粒团簇阵列的合理设计对硝基芳烃类气体蒸气的光谱超痕量检测。

Spectroscopic ultra-trace detection of nitroaromatic gas vapor on rationally designed two-dimensional nanoparticle cluster arrays.

机构信息

Department of Chemistry and The Photonics Center, Boston University, Boston, Massachusetts 02215, United States.

出版信息

Anal Chem. 2011 Mar 15;83(6):2243-9. doi: 10.1021/ac103123r. Epub 2011 Feb 20.

Abstract

Nanoparticle cluster arrays (NCAs) are engineered two-dimensional plasmonic arrays that provide high signal enhancements for critical sensing applications using surface enhanced Raman spectroscopy (SERS). In this work we demonstrate that rationally designed NCAs are capable of detecting ultra-traces of 2,4-dinitrotoluene (DNT) vapor. NCAs functionalized with a thin film of an aqueous NaOH solution facilitated the detection of DNT vapor at a concentration of at least 10 ppt, even in the presence of an excess of potential interferents, including Diesel fuel, fertilizers, and pesticides. Both in the presence and in the absence of this complex background the SERS signal intensity of the NO(2) stretching mode showed a continuous, concentration dependent response over the entire monitored concentration range (10 ppt-100 ppb). The small size, superb sensitivity, and selectivity, as well as the fast response time of <5 min, make NCAs a valuable photonic sensor platform for ultra-trace nitroaromatic gas vapor detection with potential applications in landmine removal and homeland security.

摘要

纳米粒子簇阵列(NCAs)是二维等离子体阵列,通过表面增强拉曼光谱(SERS)为关键传感应用提供了高信号增强。在这项工作中,我们证明了合理设计的 NCAs 能够检测痕量的 2,4-二硝基甲苯(DNT)蒸气。用薄的氢氧化钠水溶液薄膜功能化的 NCAs 即使在存在过量潜在干扰物的情况下,也能够检测到至少 10 ppt 的 DNT 蒸气,包括柴油燃料、肥料和农药。在存在和不存在这种复杂背景的情况下,NO(2)伸缩模式的 SERS 信号强度在整个监测浓度范围内(10 ppt-100 ppb)都表现出连续的、与浓度相关的响应。NCAs 的体积小、灵敏度和选择性极高,以及快速的响应时间(<5 分钟),使其成为用于超痕量硝基芳烃气体蒸气检测的有价值的光子传感器平台,在排雷和国土安全方面具有潜在应用。

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