Electrical and noise responses of the ink-printed Au-graphene-TiO2 gas sensor under green (515 nm) and UV light (275 nm) - Open Research Data - Bridge of Knowledge

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Electrical and noise responses of the ink-printed Au-graphene-TiO2 gas sensor under green (515 nm) and UV light (275 nm)

Description

Data set consists of three files comprising:

  • UV-vis spectroscopy (absorbance and transmittance) data for TiO2 nanoparticles and Au nanoparticles
  • Electrical (resistive) responses for gas sensing experiments with printed graphene-TiO2 and Au-graphene-TiO2 hybrid sensors
  • Noise responses for gas sensing experiments with printed hybrid sensors.

File with resistive response comprises raw data (voltage measured across the sensor) and modified data (calculated sensor resistance and relative changes in sensor resistance when the sensor was measured in a circuit with voltage divider). File with noise responses consists of raw data (power spectral density of voltage fluctuations measured across the sensor) and modified data (noise spectra normalized to voltage across the sensor and multiplied by frequency). Files include data for detection limit, and response and recovery time estimation.

Electrical and noise response of the printed sensors were recorded in the dark, under green light (515 nm) inducing localized surface plasmon resonance in Au and UV light (275 nm) inducing photocatalytic properties in TiO2 and graphene. The responses were recorded for three target gases: NO2, NH3 and C3H6O. Highest sensitivity and selectivity was observed for NO2. Noise spectra facilitated observing plasmonic effect in the frequency domain and voltage fluctuations were affected by the concentration of the target gas (NO2).

Dataset file

Au-g-TiO2_data.zip
6.0 MB, S3 ETag 81cd94bb39216698ad4df1295a7da9bc-1, downloads: 0
The file hash is calculated from the formula
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
download file Au-g-TiO2_data.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Software:
Origin/Origin Viewer

Details

Year of publication:
2025
Verification date:
2025-05-26
Dataset language:
English
DOI:
DOI ID 10.34808/05j4-ak91 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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