2019
DOI: 10.1038/s41467-019-11644-5
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Electrical pulse-induced electrochemical biosensor for hepatitis E virus detection

Abstract: Hepatitis E virus (HEV) is one of the leading causes of acute viral hepatitis worldwide. In this work, a pulse-triggered ultrasensitive electrochemical sensor was fabricated using graphene quantum dots and gold-embedded polyaniline nanowires, prepared via an interfacial polymerization and then self-assembly approach. Introducing an external electrical pulse during the virus accumulation step increases the sensitivity towards HEV due to the expanded surface of the virus particle as well as the antibody-conjugat… Show more

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Cited by 160 publications
(121 citation statements)
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“…Furthermore, IgG was also detected using EIS method in the same environment and the results resembles the DPV detecting result as shown in Figure S4 of the Supporting Information. 52…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, IgG was also detected using EIS method in the same environment and the results resembles the DPV detecting result as shown in Figure S4 of the Supporting Information. 52…”
Section: Resultsmentioning
confidence: 99%
“…Acute hepatitis E (AHE) is caused by hepatitis E virus (HEV) infection, which is endemic in many developing countries because of poor sanitation 1 . The virus is predominantly transmitted by the faecal‐oral route 2 . In some developing countries, HEV infection causes the majority of cases of acute viral hepatitis.…”
Section: Introductionmentioning
confidence: 99%
“…This label-free antibody sensor provided a broad linear range of CEA concentration from 0.5 to 1000 ng mL −1 with an LOD of 0.01 ng mL −1 . In 2019, another impedimetric immunosensor exploring the use of these nanomaterials, i.e., N,S-GQDs and Au-PANI nanowires, was constructed by Chowdhury and colleagues for quantifying hepatitis E virus (HEV) [333]. Herein, the WE was implanted with Au-PANI nanowires and N,S-GQDs by a self-assembly and an interfacial polymerization strategy.…”
Section: Impedimetric Gqd Sensorsmentioning
confidence: 99%