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Comparative Study of Electrochemical Biosensors Based on Highly Efficient Mesoporous ZrO(2)-Ag-G-SiO(2) and In(2)O(3)-G-SiO(2) for Rapid Recognition of E. coliO157:H7

[Image: see text] Here, we reported an innovative and electrochemical biosensor for the rapid detection of Escherichia coliO157:H7. We fabricated the mesoporous ZrO(2)-Ag-G-SiO(2) (ZAGS) and In(2)O(3)-G-SiO(2) (IGS) sensors, and cyclic voltammetry (CV) was employed to detect the bacteria. The develo...

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Detalles Bibliográficos
Autores principales: Fatema, Kamrun Nahar, Liu, Yin, Cho, Kwang Youn, Oh, Won-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495462/
https://www.ncbi.nlm.nih.gov/pubmed/32954119
http://dx.doi.org/10.1021/acsomega.0c00895
Descripción
Sumario:[Image: see text] Here, we reported an innovative and electrochemical biosensor for the rapid detection of Escherichia coliO157:H7. We fabricated the mesoporous ZrO(2)-Ag-G-SiO(2) (ZAGS) and In(2)O(3)-G-SiO(2) (IGS) sensors, and cyclic voltammetry (CV) was employed to detect the bacteria. The development of these portable sensors addresses the challenges of conventional time-consuming and more expensive laboratory-based analyses. Hence, the biosensors were highly selective to detect E. coli. The sensor could recognize an individual E. coli cell in 1 μL of sample volume within 30 s. E. coli live cells tied down on sample nanoparticles worked toward the definite acquirement of E. coli. The high thickness of negative charge on the surface of E. coli cells effectively regulated the concentration of dominant part charge carriers in the mesoporous channel, allowing a continuous check of E. coli concentration in a known sample. The signal current decreased linearly, while the E. coli concentration increased from 1.0 × 10(1) to 1.0 × 10(10) CFU/mL. ZAGS and IGS biosensors could detect E. coli in the range from 10(1) to 10(10) CFU/mL. ZAGS and IGS biosensors in this investigation showed great specificity, reproducibility, stability, and selectivity and are expected to have a great impact on applications in the detection of foodborne pathogens.