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Scientific Paper

Optimized Detection of Volatile Organic Compounds Utilizing Durable and Selective Arrays of Tailored UiO-66-X SURMOF Sensors

Journal article 2024

Salih Okur, Tawheed Hashem, Evgenia Bogdanova, Patrick Hodapp, Lars Heinke, Stefan Bräse, Christof Wöll

ACS sensors, 9 (2), 622-630, 2024

View at publisher ↗ Full text ↗

DOI 10.1021/acssensors.3c01575

Summary

Arrays of QCM sensors coated with three variants of the UiO-66 metal-organic framework, modified after synthesis with NH2, Cl or N3 groups, act as an electronic nose for volatile organic compounds. The films, grown layer by layer, survive pH 2 to 11; with machine learning (LDA, k-NN, neural networks) the array told eight VOCs apart with nearly 100% accuracy at high concentration and over 95% at 50–100 ppm.

Summary written by the openQCM team. The original abstract is on the publisher’s page.

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