Aqueous contaminant detection via UiO-66 thin film optical fiber sensor platform with fast fourier transform based spectrum analysis

Nazari, M, Rubio-Martinez, M, Babarao, R, Younis, A, Collins, S, Hill, M and Duke, M 2018, 'Aqueous contaminant detection via UiO-66 thin film optical fiber sensor platform with fast fourier transform based spectrum analysis', Journal of Physics D: Applied Physics, vol. 51, pp. 1-8.


Document type: Journal Article
Collection: Journal Articles

Title Aqueous contaminant detection via UiO-66 thin film optical fiber sensor platform with fast fourier transform based spectrum analysis
Author(s) Nazari, M
Rubio-Martinez, M
Babarao, R
Younis, A
Collins, S
Hill, M
Duke, M
Year 2018
Journal name Journal of Physics D: Applied Physics
Volume number 51
Start page 1
End page 8
Total pages 8
Publisher Institute of Physics
Abstract Routine water quality monitoring is required in drinking and waste water management. A particular interest is to measure concentrations of a range of diverse contaminants on-site or remotely in real time. Here we present metal organic framework (MOF) integrated optical fiber sensor that allows for rapid optical measurement based on fast Fourier transform (FFT) spectrum analysis. The end-face of these glass optical fibers was modified with UiO-66(Zr) MOF thin film by in-situ hydrothermal synthesis for the detection of the model contaminants, Rhodamine-B and 4-Aminopyridine, in water. The sensing mechanism is based on the change in the optical path length of the thin film induced by the adsorption of chemical molecules by UiO-66. Using FFT analysis, various modes of interaction (physical and chemical) became apparent, showing both irreversible changes upon contact with the contaminant, as well as reversible changes according to actual concentration.
Subject Condensed Matter Modelling and Density Functional Theory
Chemical Thermodynamics and Energetics
Composite and Hybrid Materials
Keyword(s) MOF
Drug
FFT
DOI - identifier 10.1088/1361-6463/aa9cd7
Copyright notice © 2017 IOP Publishing Ltd
ISSN 0022-3727
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