Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, 06511, USA.
Adv Mater. 2021 Nov;33(44):e2105199. doi: 10.1002/adma.202105199. Epub 2021 Sep 27.
Practical sensing applications such as real-time safety alerts and clinical diagnoses require sensor devices to differentiate between various target molecules with high sensitivity and selectivity, yet conventional devices such as oxide-based chemo-resistive sensors and metal-based surface-enhanced Raman spectroscopy (SERS) sensors usually do not satisfy such requirements. Here, a label-free, chemo-resistive/SERS multimodal sensor based on a systematically assembled 3D cross-point multifunctional nanoarchitecture (3D-CMA), which has unusually strong enhancements in both "chemo-resistive" and "SERS" sensing characteristics is introduced. 3D-CMA combines several sensing mechanisms and sensing elements via 3D integration of semiconducting SnO nanowire frameworks and dual-functioning Au metallic nanoparticles. It is shown that the multimodal sensor can successfully estimate mixed-gas compositions selectively and quantitatively at the sub-100 ppm level, even for mixtures of gaseous aromatic compounds (nitrobenzene and toluene) with very similar molecular structures. This is enabled by combined chemo-resistive and SERS multimodal sensing providing complementary information.
实用的传感应用，如实时安全警报和临床诊断，需要传感器设备能够以高灵敏度和选择性区分各种目标分子，但传统的设备，如基于氧化物的化学电阻传感器和基于金属的表面增强拉曼光谱（SERS）传感器，通常无法满足这些要求。在这里，我们介绍了一种基于系统组装的 3D 交叉点多功能纳米结构（3D-CMA）的无标记、化学电阻/SERS 多模态传感器，它在“化学电阻”和“SERS”传感特性方面具有异常强的增强。3D-CMA 通过半导体 SnO 纳米线框架和双功能 Au 金属纳米粒子的 3D 集成，结合了几种传感机制和传感元件。结果表明，即使对于具有非常相似分子结构的气态芳香族化合物（硝基苯和甲苯）的混合物，该多模态传感器也可以在亚 100ppm 水平下成功选择性和定量地估计混合气体组成，这得益于化学电阻和 SERS 多模态传感提供互补信息。
