Fabrication of sensitive nanosensor to human exhaled acetone based on WO3 porous nanostructure for monitoring diabetic patients

Document Type : Original Article

Authors
Ayub Karimzad Ghavidel 1
Mahsa Mahdavinia 2
Gholamreza Kiani 3
1 Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
2 Department of Organic Chemistry and Biochemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
3 Department of Organic Chemistry and Biochemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
Abstract
The aim of this research is the fabrication of nanosensor based on the metal oxide semiconductor tungsten trioxide with the ability to detect acetone gas from exhalation. The structural characteristics of the prepared samples were examined by scanning electron microscope and X-ray diffraction. The characterization of synthesized and porous spherical nanostructure were performed by DLS, BET and BJH analyses. The obtained powders were coated on an inter-digitated electrode by deposition method and the electrical resistivity was measured exposed to acetone and some volatile gases. In order to evaluate the sensore selectivity of the sensors, their sensitivity to several samples of volatile organic gases was also examined by increasing the temperature of the sensor to 200°C and 300°C. The obtained results showed that using of tungsten trioxide porous nanostructures in concentrations less than 5 ppm, with very promising linear performance, offers a sensor sensitivity of 44/44 %/ppm. Quantitative evaluations proved that the sensor selectivity of this nanostructure is excellent to acetone at the concentration of 1.8 ppm as the threshold concentration of type 1 diabetes biomarker in the presence of several disturbing organic gases. The response of the sensor in certain concentrations of acetone has been superior to other references. The fabricated sensor with a response time of 18 seconds reacts faster, which is improved by about 21% compared to the best sample presented.
Keywords
nanosensor
Acetone
Metal oxide semiconductors
Tungsten trioxide
Type 1 diabetes
Biomarker
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  • Receive Date 07 September 2022
  • Revise Date 03 October 2022
  • Accept Date 25 October 2022