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Title: UV-activated ZnO films on a flexible substrate for room temperature O2 and H2O sensing

Journal Article · · Scientific Reports
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [1];  [1]; ORCiD logo [1];  [1];  [3]; ORCiD logo [3];  [1]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Science and Inst. for Functional Imaging of Materials
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Science and Inst. for Functional Imaging of Materials; Bresdesen Center for Interdisciplinary Research and Graduate Education, Knoxville, TN (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Here, we demonstrate that UV-light activation of polycrystalline ZnO films on flexible polyimide (Kapton) substrates can be used to detect and differentiate between environmental changes in oxygen and water vapor. The in-plane resistive and impedance properties of ZnO films, fabricated from bacteria-derived ZnS nanoparticles, exhibit unique resistive and capacitive responses to changes in O2 and H2O. We also propose that the distinctive responses to O2 and H2O adsorption on ZnO could be utilized to statistically discriminate between the two analytes. Molecular dynamic simulations (MD) of O2 and H2O adsorption energy on ZnO surfaces were performed using the large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) with a reactive force-field (ReaxFF). Furthermore, these simulations suggest that the adsorption mechanisms differ for O2 and H2O adsorption on ZnO, and are governed by the surface termination and the extent of surface hydroxylation. Electrical response measurements, using DC resistance, AC impedance spectroscopy, and Kelvin Probe Force Microscopy (KPFM), demonstrate differences in response to O2 and H2O, confirming that different adsorption mechanisms are involved. Statistical and machine learning approaches were applied to demonstrate that by integrating the electrical and kinetic responses the flexible ZnO sensor can be used for detection and discrimination between O2 and H2O at low temperature.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1376600
Journal Information:
Scientific Reports, Vol. 7, Issue 1; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 49 works
Citation information provided by
Web of Science

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Cited By (13)

Acetic acid sensing of Mg-doped ZnO thin films fabricated by the sol–gel method journal July 2018
Solution synthesis of Al:ZnO–AgNWs–Al:ZnO flexible transparent conductive film journal January 2020
Multi-modal, ultrasensitive, wide-range humidity sensing with Ti 3 C 2 film journal January 2018
Scratch to sensitize: scratch-induced sensitivity enhancement in semiconductor thin-film sensors journal January 2019
Quantitative comparison of closed-loop and dual harmonic Kelvin probe force microscopy techniques journal December 2018
Magnetron Sputtering for ZnO:Ga Scintillation Film Production and Its Application Research Status in Nuclear Detection journal May 2019
The Effect of UV Illumination on the Room Temperature Detection of Vaporized Ammonium Nitrate by a ZnO Coated Nanospring-Based Sensor journal January 2019
Two-Dimensional Nanomaterials for Gas Sensing Applications: The Role of Theoretical Calculations journal October 2018
Sensing of Oxygen Partial Pressure in Air with ZnO Nanoparticles journal January 2020
Sensing of Oxygen Partial Pressure in Air with ZnO Nanoparticles text January 2020
Sensing of Oxygen Partial Pressure in Air with ZnO Nanoparticles. text January 2020
ZnO Nanowire Application in Chemoresistive Sensing: A Review journal November 2017
Investigation of ZnO-decorated CNTs for UV Light Detection Applications journal July 2019

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