Rapid and Specific Aqueous-Phase Detection of Nitroaromatic Explosives with Inherent Porphyrin Recognition Sites in Metal–Organic Frameworks-Reference-Cited by-同舟云学术

Rapid and Specific Aqueous-Phase Detection of Nitroaromatic Explosives with Inherent Porphyrin Recognition Sites in Metal–Organic Frameworks

Published:2015-05-29 Issue:22 Volume:7 Page:11956-11964
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Yang Jian¹,Wang Zhe¹,Hu Kaili²,Li Yongsheng¹,Feng Jianfang²,Shi Jianlin¹,Gu Jinlou¹

Affiliation:

1. Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

2. Murad Research Center for Modernized Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Funder

State Administration of Foreign Experts Affairs

Ministry of Education of the People's Republic of China

Shanghai Municipal Education Commission

National Natural Science Foundation of China

Shanghai Committee of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.5b01946

Reference63 articles.

1. Diffusion-Controlled Detection of Trinitrotoluene: Interior Nanoporous Structure and Low Highest Occupied Molecular Orbital Level of Building Blocks Enhance Selectivity and Sensitivity

2. CH3–π Interaction of Explosives with Cavity of a TPE Macrocycle: The Key Cause for Highly Selective Detection of TNT

3. Dummy Molecularly Imprinted Polymers-Capped CdTe Quantum Dots for the Fluorescent Sensing of 2,4,6-Trinitrotoluene

4. Detection of Explosives and Related Compounds by Low-Temperature Plasma Ambient Ionization Mass Spectrometry

5. Sunlight-induced formation of silver-gold bimetallic nanostructures on DNA template for highly active surface enhanced Raman scattering substrates and application in TNT/tumor marker detection

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