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Chemiresistive Sensing of Ambient CO2 by an Autogenously Hydrated Cu3(hexaiminobenzene)2 Framework
- Source :
- ACS Central Science, Vol 5, Iss 8, Pp 1425-1431 (2019)
- Publication Year :
- 2019
- Publisher :
- American Chemical Society, 2019.
-
Abstract
- A growing demand for indoor atmosphere monitoring relies critically on the ability to reliably and quantitatively detect carbon dioxide. Widespread adoption of CO2 sensors requires vastly improved materials and approaches because selective sensing of CO2 under ambient conditions, where relative humidity (RH) and other atmosphere contaminants provide a complex scenario, is particularly challenging. This report describes an ambient CO2 chemiresistor platform based on nanoporous, electrically conducting two-dimensional metal-organic frameworks (2D MOFs). The CO2 chemiresistive sensitivity of 2D MOFs is attained through the incorporation of imino-semiquinonate moieties, i.e., well-defined N-heteroatom functionalization. The best performance is obtained with Cu3(hexaiminobenzene)2, Cu3HIB2, which shows selective and robust ambient CO2 sensing properties at practically relevant levels (400-2500 ppm). The observed ambient CO2 sensitivity is nearly RH-independent in the range 10-80% RH. Cu3HIB2 shows higher sensitivity over a broader RH range than any other known chemiresistor. Characterization of the CO2-MOF interaction through a combination of in situ optical spectroscopy and density functional theory calculations evidence autogenously generated hydrated adsorption sites and a charge trapping mechanism as responsible for the intriguing CO2 sensing properties of Cu3HIB2.
- Subjects :
- Chemiresistor
Materials science
010405 organic chemistry
Nanoporous
General Chemical Engineering
Nanotechnology
General Chemistry
010402 general chemistry
01 natural sciences
0104 chemical sciences
Characterization (materials science)
Chemistry
Adsorption
Surface modification
Density functional theory
Relative humidity
Spectroscopy
QD1-999
Subjects
Details
- Language :
- English
- ISSN :
- 23747951
- Volume :
- 5
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- ACS Central Science
- Accession number :
- edsair.doi.dedup.....936929f9ce16fb267476a0683bd35a25