Determination of sunset yellow in beverage based on solution-gated graphene transistors with multi-walled carbon nanotube functionalized gate electrodes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10456709" target="_blank" >RIV/00216208:11320/22:10456709 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=4Gu-0mo0lT" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=4Gu-0mo0lT</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jelechem.2022.116758" target="_blank" >10.1016/j.jelechem.2022.116758</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Determination of sunset yellow in beverage based on solution-gated graphene transistors with multi-walled carbon nanotube functionalized gate electrodes

Popis výsledku v původním jazyce

Sunset yellow, one of the most widely used synthetic pigments in the food industry, may cause an adverse reaction in the human body due to its cytotoxicity and potential genotoxicity when overdosed. Developing a rapid, low-cost, and convenient detection method for the sunset yellow pigment is necessary. In this study, we report the fabrication of a highly sensitive and selective sensor for sunset yellow detection based on solution-gated graphene transistors (SGGT). To improve the performance of the SGGT-based sensor, we modified the Au gate electrode with multi-walled carbon nanotubes (MWCNTs). The detection limit of the MWCNTmodified SGGT sensor was 100 nM, and the linear range was from 300 nM to 100 mu M. More importantly, the SGGTs sensor showed a selective response to sunset yellow. Finally, we demonstrated that the optimized SGGT-based sensor could detect the concentration of sunset yellow in Fanda soft drink. Therefore, we believe that the SGGT-based sensor with the reported effective modification can be used in the field of food safety and quality control, providing a promising platform for detecting many other analytes.

Název v anglickém jazyce

Determination of sunset yellow in beverage based on solution-gated graphene transistors with multi-walled carbon nanotube functionalized gate electrodes

Popis výsledku anglicky

Sunset yellow, one of the most widely used synthetic pigments in the food industry, may cause an adverse reaction in the human body due to its cytotoxicity and potential genotoxicity when overdosed. Developing a rapid, low-cost, and convenient detection method for the sunset yellow pigment is necessary. In this study, we report the fabrication of a highly sensitive and selective sensor for sunset yellow detection based on solution-gated graphene transistors (SGGT). To improve the performance of the SGGT-based sensor, we modified the Au gate electrode with multi-walled carbon nanotubes (MWCNTs). The detection limit of the MWCNTmodified SGGT sensor was 100 nM, and the linear range was from 300 nM to 100 mu M. More importantly, the SGGTs sensor showed a selective response to sunset yellow. Finally, we demonstrated that the optimized SGGT-based sensor could detect the concentration of sunset yellow in Fanda soft drink. Therefore, we believe that the SGGT-based sensor with the reported effective modification can be used in the field of food safety and quality control, providing a promising platform for detecting many other analytes.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10305 - Fluids and plasma physics (including surface physics)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Journal of Electroanalytical Chemistry

ISSN

1572-6657

e-ISSN

1873-2569

Svazek periodika

922

Číslo periodika v rámci svazku

Oct

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

7

Strana od-do

116758

Kód UT WoS článku

000921305500013

EID výsledku v databázi Scopus

2-s2.0-85137153712