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Issue 16, 2013
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Sensitive voltammetric sensor for bergenin based on poly(L-lysine)/graphene modified glassy carbon electrode

Yinfeng Li,ab  Jie Liu,a  Ge Song,a  Kunjing Li,a  Kai Zhanga  and  Baoxian Ye*a 
Author affiliations

* Corresponding authors

a College of Chemistry and Molecular Engineering, Zhengzhou University, Zhengzhou 450001, P. R. China
E-mail: yebx@zzu.edu.cn
Fax: +86 0371 67763654
Tel: +86 0371 67781757

b Department of Chemistry and Chemical Engineering, Henan University of Urban Construction, Pingdingshan 467036, P. R. China

Abstract

A sensitive and novel electrochemical sensor for detection of bergenin by linear sweep voltammetry (LSV) is presented. This sensor was fabricated by dripping well-dispersed graphene onto glassy carbon electrode (GCE) surface firstly, and then poly(L-lysine) films were subsequently electropolymerized on it to prepare poly(L-lysine)/graphene/GCE. The dynamic detection range of this sensor to bergenin was 4.0 × 10−8 to 5.0 × 10−6 mol L−1 and 6.0 × 10−6 to 1.7 × 10−5 mol L−1, with the detection limit of 1.0 × 10−8 mol L−1. A new voltammetric method for determination of bergenin was erected and shows high sensitivity and selectivity, wider linear relationship, very easy surface update and good stability. The proposed sensors were tested for bergenin detection in pharmaceutical tablets with high accuracy and satisfactory recovery results was obtained. In addition, the oxidation mechanism is proposed and discussed, which could be a reference for the pharmacological action of bergenin in clinical studies.

Graphical abstract: Sensitive voltammetric sensor for bergenin based on poly(l-lysine)/graphene modified glassy carbon electrode

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Publication details

The article was received on 30 Mar 2013, accepted on 14 May 2013 and first published on 15 May 2013


Article type: Paper
DOI: 10.1039/C3AY40531A
Citation: Anal. Methods, 2013,5, 3895-3902
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    Sensitive voltammetric sensor for bergenin based on poly(L-lysine)/graphene modified glassy carbon electrode

    Y. Li, J. Liu, G. Song, K. Li, K. Zhang and B. Ye, Anal. Methods, 2013, 5, 3895
    DOI: 10.1039/C3AY40531A

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