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MOFs for the Sensitive Detection of Ammonia: Deployment of fcu-MOF Thin Films as Effective Chemical Capacitive Sensors
ACS Sensors ( IF 8.9 ) Pub Date : 2017-08-28 00:00:00 , DOI: 10.1021/acssensors.7b00304
Ayalew H. Assen 1 , Omar Yassine 1 , Osama Shekhah 1 , Mohamed Eddaoudi 1 , Khaled N. Salama 1
Affiliation  

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 prefunctionalized 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 contrast to other reported MOFs, and a remarkable detection selectivity toward 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.

中文翻译:

用于氨气敏感检测的MOF:将fcu-MOF薄膜部署为有效的化学电容传感器

这项工作报告了一种选择的金属-有机框架(MOF)薄膜的制造和部署,该薄膜是一种用于在室温下感测/检测氨(NH 3)的高级化学电容传感器。即,MOF薄膜感测层由沉积在电容式叉指电极(IDE)上的稀土(RE)MOF(RE- fcu -MOF )组成。故意地,选择了化学稳定的萘基RE- fcu -MOF (NDC-Y - fcu - MOF),并通过溶剂热生长方法在预功能化的电容式IDE上制备/安排为薄膜。与早期的实现不同,基于MOF的传感器对NH 3表现出显着的检测灵敏度在低至1 ppm的浓度下,即使在存在湿气和/或CO 2的情况下,检测限也被认为约为100 ppb(在室温下)。显然,与其他已报道的MOF相比,基于NDC-Y- fcu - MOF的传感器对NH 3表现出所需的稳定性,并且对NH 3相对于CH 4,NO 2,H 2和C 7 H 8的检测选择性显着。。在NDC-Y- FCU-基于MOF的传感器在存在二氧化碳和/或湿度(水蒸气)的混合物的情况下,具有出色的感测模拟呼吸系统氨气的性能,并且检测信号没有重大变化。
更新日期:2017-08-29
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