| Title: | Highly Selective and Sensitive Detection of Volatile Sulfur Compounds by Ionically Conductive Metal-Organic Frameworks |
| Author(s): | Li L; Zhang S; Lu Y; Zhang J; Zhang X; Wang R; Huang J; |
| Address: | "Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, 201804, P. R. China. Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital Affiliated to Tongji University, Tongji University, Shanghai, 200434, P. R. China" |
| ISSN/ISBN: | 1521-4095 (Electronic) 0935-9648 (Linking) |
| Abstract: | "High selectivity to specific analyte is essential for chemical sensors but difficult to achieve. For most chemical sensors, although the response to the target analyte can be more significant than interference analytes, they still show obvious responses to the interference analytes. Here, highly selective chemical sensors are developed with negligible responses to other interference vapors. Instead of the widely investigated electronically conductive metal-organic frameworks (EC-MOFs), ionically conductive MOFs (IC-MOFs) are used as the sensing materials, and the unique interaction between the ion charge carrier and the analyte is utilized to achieve high sensing selectivity. Through the modulation of the metal nodes (Cu, Co, Ni, Zn, Mg) and organic ligands (H(2) TCPP, H(2) THPP, H(4) BTEC), sensor arrays based on a set of IC-MOFs are fabricated and achieve highly selective detection toward volatile sulfur compounds (VSCs). H(2) S and CH(3) SH can be selectively detected at concentrations down to 1 ppb and 1 ppm, respectively. The facile preparation and low cost endow the device with disposability. These results suggest new approaches for the development of highly selective chemical sensors" |
| Keywords: | chemical sensing ionically conductive metal-organic frameworks volatile sulfur compounds detection; |
| Notes: | "PubMed-not-MEDLINELi, Li Zhang, Shiqi Lu, Yang Zhang, Junyao Zhang, Xuan Wang, Ruizhi Huang, Jia eng 2017YFA0103904/National Key Research and Development Program of China/ 61822405/National Natural Science Foundation of China/ 62074111/National Natural Science Foundation of China/ 19JC1412402/Science & Technology Foundation of Shanghai/ 20JC1415600/Science & Technology Foundation of Shanghai/ 2021SHZDZX0100/Shanghai Municipal Science and Technology Major Project/ 19511132101/Shanghai Municipal Commission of Science and Technology Project/ Fundamental Research Funds for the Central Universities/ Germany 2021/10/12 Adv Mater. 2021 Dec; 33(52):e2104120. doi: 10.1002/adma.202104120. Epub 2021 Oct 22" |
