Evaluating Different TiO2 Nanoflower-Based Composites for Humidity Detection

Unique three-dimensional (3D) titanium dioxide (TiO2) nanoflowers (TFNA) have shown great potential for humidity sensing applications, due to their large surface area-to-volume ratio and high hydrophilicity. The formation of a composite with other materials could further enhance the performance of t...

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Bibliographic Details
Published in:Sensors
Main Author: Mohamed Zahidi M.; Mamat M.H.; Malek M.F.; Yaakob M.K.; Ahmad M.K.; Abu Bakar S.; Mohamed A.; A Subki A.S.R.; Mahmood M.R.
Format: Article
Language:English
Published: MDPI 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136753990&doi=10.3390%2fs22155794&partnerID=40&md5=caf50309e2787f4b3fa0c2e693640609
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Summary:Unique three-dimensional (3D) titanium dioxide (TiO2) nanoflowers (TFNA) have shown great potential for humidity sensing applications, due to their large surface area-to-volume ratio and high hydrophilicity. The formation of a composite with other materials could further enhance the performance of this material. In this work, the effect of different types of composites on the performance of a TNFA-based humidity sensor was examined. NiO, ZnO, rGO, and PVDF have been explored as possible composite pairing candidates with TiO2 nanoflowers, which were prepared via a modified solution immersion method. The properties of the composites were examined using field emission electron spectroscopy (FESEM), X-ray diffractometry (XRD), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), current-voltage (I-V) analysis, Hall effect measurement, and contact angle measurement. The performance of the humidity sensor was assessed using a humidity sensor measurement system inside a humidity-controlled chamber. Based on the result, the combination of TiO2 with rGO produced the highest sensor response at 39,590%. The achievement is attributed to the increase in the electrical conductivity, hydrophilicity, and specific surface area of the composite. © 2022 by the authors.
ISSN:14248220
DOI:10.3390/s22155794