Intrinsic Enzyme-like Activities of Cerium Oxide Nanocomposite and Its Application for Extracellular H2O2 Detection Using an Electrochemical Microfluidic Device
Artificial enzyme mimics have gained considerable attention for use in sensing applications due to their high stability and outstanding catalytic activity. We show that cerium oxide nanosheets (NSs) exhibit triple-enzyme mimetic activity. The oxidase-, peroxidase-, and catalase-like activities of th...
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Veröffentlicht in: | ACS omega 2020-06, Vol.5 (21), p.11883-11894 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Artificial enzyme mimics have gained
considerable attention for
use in sensing applications due to their high stability and outstanding
catalytic activity. We show that cerium oxide nanosheets (NSs) exhibit
triple-enzyme mimetic activity. The oxidase-, peroxidase-, and catalase-like
activities of the proposed nanoparticles are demonstrated using both
colorimetric and electron paramagnetic resonance (EPR) spectroscopy.
On the basis of the excellent catalytic activity of cerium oxide NSs
toward hydrogen peroxide, an electrochemical approach for the high-throughput
detection of H
2
O
2
in living cells was established.
This report presents an analytical microfluidic chip integrated with
a cerium oxide NS mimic enzyme for the fabrication of a simple, sensitive,
and low-cost electrochemical sensor. Three Au microelectrodes were
fabricated on a glass substrate using photolithography, and the working
electrode was functionalized using cerium oxide NSs. The operation
of this biosensor is based on cerium oxide NSs and presents a high
sensitivity over a wide detection range, between 100 nM and 20 mM,
with a low detection limit of 20 nM and a high sensitivity threshold
of 226.4 μA·cm
–2
·μM
–1
. This microfluidic sensor shows a strong response to H
2
O
2
, suggesting potential applications in monitoring H
2
O
2
directly secreted from living cells. This sensor
chip provides a promising platform for applications in the field of
diagnostics and sensing. |
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ISSN: | 2470-1343 |
DOI: | 10.1021/acsomega.9b03252 |