Jump to main content
Jump to site search

Issue 23, 2014
Previous Article Next Article

Metal–organic frameworks and β-cyclodextrin-based composite electrode for simultaneous quantification of guanine and adenine in a lab-on-valve manifold

Author affiliations

Abstract

In this work, a novel chemically modified electrode is constructed based on metal–organic frameworks and β-cyclodextrin (Cu3(BTC)2/β-CD, BTC = benzene-1,3,5-tricarboxylate) composite material. The electrode was used for simultaneous determination of guanine and adenine in a sequential injection lab-on-valve format and exhibited sensitive responses to guanine and adenine oxidation due to the π–π stacking interaction of Cu3(BTC)2 and the inclusion behavior of β-CD. The analytical performance was assessed with respect to the supporting electrolyte and its pH, accumulation time and accumulation potential, and the fluid flow rates. Under optimal conditions, linear calibration ranges for both guanine and adenine were from 1.0 × 10−7 to 1.0 × 10−5 mol L−1, and detection limits (S/N = 3) were found to be 5.2 × 10−8 and 2.8 × 10−8 mol L−1, respectively. The proposed sensor showed advantages of high sensitivity, simple sample preparation protocol, enhanced throughput and good reproducibility. Finally, the practical application of the proposed sensor has been performed for the determination of guanine and adenine in real samples with satisfactory results.

Graphical abstract: Metal–organic frameworks and β-cyclodextrin-based composite electrode for simultaneous quantification of guanine and adenine in a lab-on-valve manifold

Back to tab navigation

Supplementary files

Publication details

The article was received on 19 May 2014, accepted on 09 Sep 2014 and first published on 09 Oct 2014


Article type: Paper
DOI: 10.1039/C4AN00901K
Analyst, 2014,139, 6197-6203

  •   Request permissions

    Metal–organic frameworks and β-cyclodextrin-based composite electrode for simultaneous quantification of guanine and adenine in a lab-on-valve manifold

    Y. Wang, H. Chen, Y. Wu, H. Ge, G. Ye and X. Hu, Analyst, 2014, 139, 6197
    DOI: 10.1039/C4AN00901K

Search articles by author

Spotlight

Advertisements