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A highly sensitive biosensor based on Au NPs/rGO-PAMAM-Fc nanomaterials for detection of cholesterol

Authors Zhu J, Ye Z, Fan X, Wang H, Wang Z, Chen B

Received 15 August 2018

Accepted for publication 12 December 2018

Published 25 January 2019 Volume 2019:14 Pages 835—849

DOI https://doi.org/10.2147/IJN.S184013

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Govarthanan Muthusamy

Peer reviewer comments 2

Editor who approved publication: Dr Lei Yang


Jianmeng Zhu,1 Zhilu Ye,1 Xiaoying Fan,1 Hongqin Wang,1 Zhen Wang,1,2 Bingyu Chen1,2

1Department of Clinical Laboratory, Chun’an First People’s Hospital (Zhejiang Provincial People’s Hospital Chun’an Branch), Hangzhou, Zhejiang, China; 2Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China

Objective: This study aimed to construct a biosensor using Au nanoparticles (Au NPs) and reduced graphene-polyamide-amine-ferrocene (rGO-PAMAM-Fc) nanomaterials designed for rapid and sensitive detection of cholesterol.
Materials and methods: In this study, a highly sensitive biosensor based on Au NPs/rGO-PAMAM-Fc nanomaterials was manufactured for detection of cholesterol. The rGO-PAMAM-Fc and Au NPs were modified on the surface of the electrode and then coated with cholesterol oxidase (ChOx) and cholesterol esterase (ChEt) to develop the ChOx&ChEt/Au NPs/rGO-PAMAM-Fc biosensor.
Results: The capability of rGO-PAMAM-Fc nanomaterials in fabricating a more efficient biosensor was validated through stability, selectivity and reproducibility checks. Under optimal conditions, the newly developed biosensor showed a linear relationship with logarithm of cholesterol concentration from 0.0004 to 15.36 mM (R2=0.9986), and a low detection limit of 2 nM was obtained at the signal/noise ratio of 3.
Conclusion: The ChOx&ChEt/Au NPs/rGO-PAMAM-Fc biosensor was successfully applied for the measurement of cholesterol in human serum, which implies that the biosensor has a potential application in clinical diagnostics.

Keywords: diagnostics, graphene, polyamide-amine, ferrocene, Au nanoparticles

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