4.7 Article

Detection of Bacterial Metabolic Volatile Indole Using a Graphene-Based Field-Effect Transistor Biosensor

期刊

NANOMATERIALS
卷 11, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/nano11051155

关键词

indole; graphene; field-effect transistor; indole detector; bacterial metabolic indole

资金

  1. TBRS grant from the Research Grant Council of the Hong Kong Special Administrative Region Government [T42-717/20-R]
  2. City University research grant [CityU11206818]

向作者/读者索取更多资源

The study utilized a graphene field-effect transistor (G-FET) to detect the volatile molecule indole released by Escherichia coli, based on a pi-pi stacking interaction between indole and graphene. The adsorption of indole caused a charge rearrangement in the graphene-indole complex, leading to changes in the electrical signal of G-FET biosensors. The indole biosensor demonstrated the ability to detect indole from 10 ppb to 250 ppb with a detection limit of 10 ppb.
The existence of bacteria is a great threat to food safety. Volatile compounds secreted by bacteria during their metabolic process can be dissected to evaluate bacterial contamination. Indole, as a major volatile molecule released by Escherichia coli (E. coli), was chosen to examine the presence of E. coli in this research. In this work, a graphene field-effect transistor (G-FET) was employed to detect the volatile molecule-indole based on a pi-pi stacking interaction between the indole and the graphene. The exposure of G-FET devices to the indole provokes a change in electrical signal, which is ascribed to the adsorption of the indole molecule onto the graphene surface via pi-pi stacking. The adsorption of the indole causes a charge rearrangement of the graphene-indole complex, which leads to changes in the electrical signal of G-FET biosensors with a different indole concentration. Currently, the indole biosensor can detect indole from 10 ppb to 250 ppb and reach a limit of detection of 10 ppb for indole solution detection. We believe that our detection strategy for detecting bacterial metabolic gas molecules will pave a way to developing an effective platform for bacteria detection in food safety monitoring.

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