Noise Characterization of Graphene Sensors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU156013" target="_blank" >RIV/00216305:26220/24:PU156013 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10652510" target="_blank" >https://ieeexplore.ieee.org/document/10652510</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IVNC63480.2024.10652510" target="_blank" >10.1109/IVNC63480.2024.10652510</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Noise Characterization of Graphene Sensors

Popis výsledku v původním jazyce

This study investigates the operational dynamics and challenges of graphene-based sensors, focusing on refining data measurement and processing techniques to ensure accurate identification of chemical compounds in different gas atmospheres. The research highlights the importance of sensor cleanliness and the use of analytes with physical properties matching the measurement environment. The cleaning process involves using isopropyl alcohol and heating the sensor to 70 degrees C, with cooling facilitated by the sensor's low thermal mass. This study also explores injecting saturated liquid onto the sensor to eliminate issues related to pressure and gas composition variations. Experimental methods include measuring the graphene sensor in the spectral domain using a setup that minimizes resistive noise and optimizes sensor response. Key variables such as voltage, resistor noise characteristics, signal path to the amplifier, system temperature, and bonding materials are fine-tuned to achieve the lowest parasitic noise. Time-domain and frequency-domain measurement techniques are employed to correlate resistance and impedance changes with gas concentrations, respectively.

Název v anglickém jazyce

Noise Characterization of Graphene Sensors

Popis výsledku anglicky

This study investigates the operational dynamics and challenges of graphene-based sensors, focusing on refining data measurement and processing techniques to ensure accurate identification of chemical compounds in different gas atmospheres. The research highlights the importance of sensor cleanliness and the use of analytes with physical properties matching the measurement environment. The cleaning process involves using isopropyl alcohol and heating the sensor to 70 degrees C, with cooling facilitated by the sensor's low thermal mass. This study also explores injecting saturated liquid onto the sensor to eliminate issues related to pressure and gas composition variations. Experimental methods include measuring the graphene sensor in the spectral domain using a setup that minimizes resistive noise and optimizes sensor response. Key variables such as voltage, resistor noise characteristics, signal path to the amplifier, system temperature, and bonding materials are fine-tuned to achieve the lowest parasitic noise. Time-domain and frequency-domain measurement techniques are employed to correlate resistance and impedance changes with gas concentrations, respectively.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

21000 - Nano-technology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Vacuum Nanoelectronics Conference

ISBN

979-8-3503-7976-1

ISSN

—

e-ISSN

—

Počet stran výsledku

2

Strana od-do

1-2

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Brno

Datum konání akce

15. 7. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001310530600067