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.

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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:

10.34808/ah20-da40

Funding:

System of gas detection by two-dimensional materials

Verified by:

Gdańsk University of Technology

Keywords

References

publication Optimum Choice of Randomly Oriented Carbon Nanotube Networks for UV-Assisted Gas Sensing Applications

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