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等离子体鼻:将基于金属有机框架的分子预浓缩效应与等离子体阵列相结合,用于识别分子水平的挥发性有机化合物。

Plasmonic nose: integrating the MOF-enabled molecular preconcentration effect with a plasmonic array for recognition of molecular-level volatile organic compounds.

作者信息

Koh Charlynn Sher Lin, Lee Hiang Kwee, Han Xuemei, Sim Howard Yi Fan, Ling Xing Yi

机构信息

Division of Chemistry and Biological Chemistry, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore.

出版信息

Chem Commun (Camb). 2018 Mar 6;54(20):2546-2549. doi: 10.1039/c8cc00564h.

DOI:10.1039/c8cc00564h
PMID:29464255
Abstract

Timely detection of toxic vapor is vital for safeguarding people's lives. Herein, we design a plasmonic nose based on a zeolitic imidazolate framework (ZIF)-encapsulated Ag nanocube array for ultratrace recognition of VOC vapor. The plasmonic nose enables in situ adsorption kinetics and recognition of various VOCs at ppm levels, eliminating false positives. Our approach provides a paradigm shift to next-generation, effective and specific gas sensors.

摘要

及时检测有毒蒸汽对于保障人们的生命至关重要。在此,我们设计了一种基于沸石咪唑酯骨架(ZIF)封装的银纳米立方体阵列的等离子体鼻,用于超痕量识别挥发性有机化合物(VOC)蒸汽。该等离子体鼻能够实现原位吸附动力学并识别ppm水平的各种VOC,消除误报。我们的方法为下一代有效且特异的气体传感器提供了一种范式转变。

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