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 - MOST Wiedzy

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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)

Opis

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).

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Au-g-TiO2_data.zip
6.0 MB, S3 ETag 81cd94bb39216698ad4df1295a7da9bc-1, pobrań: 0
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hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

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https://github.com/antespi/s3md5
pobierz plik Au-g-TiO2_data.zip

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Licencja:
Creative Commons: by 4.0 otwiera się w nowej karcie
CC BY
Uznanie autorstwa
Oprogramowanie:
Origin/Origin Viewer

Informacje szczegółowe

Rok publikacji:
2025
Data zatwierdzenia:
2025-05-26
Język danych badawczych:
angielski
DOI:
Identyfikator DOI 10.34808/05j4-ak91 otwiera się w nowej karcie
Finansowanie:
Weryfikacja:
Politechnika Gdańska

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