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Electrical and noise responses of carbon nanotube networks enhanced by UV light for detection of organic gases (ethanol, acetone)
Description
Carbon nanotube networks of different optical transparencies were investigated via resistance and 1/f noise measurements for detection of ethanol and acetone. The sensor resistive and noise responses were collected for dark and UV-assisted conditions, revealing the improvement in sensor sensitivity and limit of detection after applying UV light (275 nm). The data set includes raw and modified data from time-domain studies of sensors resistance changes to selected ambient conditions and low-frequency noise spectra measurements used to estimate sensors sensitivity and detection limit to ethanol and acetone. The carbon nanotube network of higher optical transparency (90%) was observed to produce higher responses to both target gases with detection limits reaching 0.89 ppm for ethanol and 0.48 ppm for acetone under UV light enhancement.
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
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CC BYAttribution - Software:
- Origin/Origin Viewer
Details
- Year of publication:
- 2024
- Verification date:
- 2024-03-01
- Dataset language:
- English
- Fields of science:
-
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- DOI:
- DOI ID 10.34808/ah20-da40 open in new tab
- Funding:
- Verified by:
- Gdańsk University of Technology
Keywords
- carbon nanotubes
- gas sensor
- ethanol
- acetone
- organic vapors
- low-frequency noise
- 1/f noise
- detection limit
References
- publication Optimum Choice of Randomly Oriented Carbon Nanotube Networks for UV-Assisted Gas Sensing Applications
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