MOFs for the Sensitive Detection of Ammonia: Deployment of fcu-MOF Thin-Films as Effective Chemical Capacitive Sensors.

Ayalew Hussen Assen Assen, Omar Yassine, Osama Shekhah, Mohamed Eddaoudi, Khaled N. Salama

Research output: Contribution to journalArticlepeer-review

225 Scopus citations

Abstract

This work reports on the fabrication and deployment of a select metal-organic framework (MOF) thin film as an advanced chemical capacitive sensor for the sensing/detection of ammonia (NH3) at room temperature. Namely, the MOF thin film sensing layer consists of a rare-earth (RE) MOF (RE-fcu-MOF) deposited on a capacitive interdigitated electrode (IDE). Purposely, the chemically stable naphthalene-based RE-fcu-MOF (NDC-Y-fcu-MOF) was elected and prepared/arranged as a thin film on a pre-functionalized capacitive IDE via the solvothermal growth method. Unlike earlier realizations, the fabricated MOF-based sensor showed a notable detection sensitivity for NH3 at concentrations down to 1 ppm, with a detection limit appraised to be around 100 ppb (at room temperature) even in the presence of humidity and/or CO2. Distinctly, the NDC-Y-fcu-MOF based sensor exhibited the required stability to NH3, in contract to other reported MOFs, and a remarkable detection selectivity towards NH3 vs. CH4, NO2, H2 and C7H8. The NDC-Y-fcu-MOF based sensor exhibited excellent performance for sensing ammonia for simulated breathing system in the presence of the mixture of carbon dioxide and/or humidity (water vapor), with no major alteration in the detection signal.
Original languageEnglish (US)
Pages (from-to)1294-1301
Number of pages8
JournalACS Sensors
Volume2
Issue number9
DOIs
StatePublished - Aug 28 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The authors would like to thank Dr Y. Belmabkhout, Dr. H. Omran, and Mr C. Sapsanis for their technical support and helpful advice. This work was partially sponsored by the Advanced Membranes and Porous Materials (AMPM) FCC project, FCC/1/1972-05-01.

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