Open AccessUV-activated ZnO films on a flexible substrate for room temperature O2 and H2O sensing
Author(s) -
Christopher B. Jacobs,
Artem Maksov,
Eric S. Muckley,
Liam Collins,
Masoud MahjouriSamani,
Anton V. Ievlev,
Christopher M. Rouleau,
Ji Won Moon,
David E. Graham,
Bobby G. Sumpter,
Ilia N. Ivanov
Publication year - 2017
Publication title -
scientific reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 213
ISSN - 2045-2322
DOI - 10.1038/s41598-017-05265-5
Subject(s) - reaxff , adsorption , kelvin probe force microscope , materials science , resistive touchscreen , dielectric spectroscopy , substrate (aquarium) , crystallite , activation energy , nanotechnology , chemical engineering , analytical chemistry (journal) , molecular dynamics , electrode , atomic force microscopy , chemistry , electrochemistry , organic chemistry , computational chemistry , oceanography , interatomic potential , engineering , geology , electrical engineering , metallurgy
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 O 2 and H 2 O. We propose that the distinctive responses to O 2 and H 2 O adsorption on ZnO could be utilized to statistically discriminate between the two analytes. Molecular dynamic simulations (MD) of O 2 and H 2 O adsorption energy on ZnO surfaces were performed using the large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) with a reactive force-field (ReaxFF). These simulations suggest that the adsorption mechanisms differ for O 2 and H 2 O 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 O 2 and H 2 O, 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 O 2 and H 2 O at low temperature.