Jump to main content
Jump to site search
Access to RSC content Close the message box

Continue to access RSC content when you are not at your institution. Follow our step-by-step guide.



A Capillary-Based Fluorimetric Platform for Evaluation of Glucose in Blood Using Gold Nanoclusters and Glucose Oxidase in ZIF-8 Matrix

Abstract

A capillary-based fluorimetric analysis method was developed for probing glucose (Glu) in blood using Glu oxidase-anchored gold nanoclusters (GOD-AuNCs) and ZIF-8 matrix. AuNCs were attached with GOD to be further encapsulated into ZIF-8 matrix through the protein-mediated formation route. The resulting GOD-AuNCs@ZIF-8 nanocomposites could present the AuNCs-improved catalysis of GOD and ZIF-8-bettered environmental stability. The ZIF-8-enhanced fluorescent intensity of AuNCs could also be expected. Moreover, a capillary-based fluorometric platform was constructed for sensing Glu by coating the capillaries first with GOD-AuNCs and then ZIF-8 matrix. Herein, Glu was introduced through the self-driven sampling to trigger the GOD-catalyzed production of hydrogen peroxide, which could induce the fluorescence quenching rationally depending on the Glu concentrations. The developed fluorimetric method could allow for the rapid and simple detection of Glu with the concentrations linearly ranging from 5.0 µM to 2.5 mM. Besides, the feasibility of practical applications was demonstrated by the evaluation of Glu in blood showing the recoveries of 96.2% - 103.4%. Importantly, the proposed design of the capillary-based fluorimetric platform by the synergetic combination of catalysis-specific recognition and fluorescent signaling may open a new door toward the huge applications in the biological sensing, catalysis, and imaging fields.

Back to tab navigation

Article information


Submitted
31 May 2020
Accepted
25 Jun 2020
First published
30 Jun 2020

Analyst, 2020, Accepted Manuscript
Article type
Paper

A Capillary-Based Fluorimetric Platform for Evaluation of Glucose in Blood Using Gold Nanoclusters and Glucose Oxidase in ZIF-8 Matrix

L. Feng, J. Yang, S. Zhang, L. Zhang, X. Chen, P. Li, Y. Gao, S. Xie, Y. Zhang and H. Wang, Analyst, 2020, Accepted Manuscript , DOI: 10.1039/D0AN01090A

Social activity

Search articles by author

Spotlight

Advertisements