Issue 62, 2018, Issue in Progress

Pt-grown carbon nanofibers for enzymatic glutamate biosensors and assessment of their biocompatibility

Abstract

Application-specific carbon nanofibers grown from Pt-catalyst layers have been shown to be a promising material for biosensor development. Here we demonstrate immobilization of glutamate oxidase on them and their use for amperometric detection of glutamate at two different potentials. At −0.15 V vs. Ag/AgCl at concentrations higher than 100 μM the oxygen reduction reaction severely interferes with the enzymatic production of H2O2 and consequently affects the detection of glutamate. On the other hand, at 0.6 V vs. Ag/AgCl enzyme saturation starts to affect the measurement above a glutamate concentration of 100 μM. Moreover, we suggest here that glutamate itself might foul Pt surfaces to some degree, which should be taken into account when designing Pt-based sensors operating at high anodic potentials. Finally, the Pt-grown and Ni-grown carbon nanofibers were shown to be biocompatible. However, the cells on Pt-grown carbon nanofibers had different morphology and formation of filopodia compared to those on Ni-grown carbon nanofibers. The effect was expected to be caused rather by the different fiber dimensions between the samples than the catalyst metal itself. Further experiments are required to find the optimal dimensions of CNFs for biological purposes.

Graphical abstract: Pt-grown carbon nanofibers for enzymatic glutamate biosensors and assessment of their biocompatibility

Supplementary files

Article information

Article type
Paper
Submitted
18 Sep 2018
Accepted
09 Oct 2018
First published
19 Oct 2018
This article is Open Access
Creative Commons BY license

RSC Adv., 2018,8, 35802-35812

Pt-grown carbon nanofibers for enzymatic glutamate biosensors and assessment of their biocompatibility

N. Isoaho, E. Peltola, S. Sainio, J. Koskinen and T. Laurila, RSC Adv., 2018, 8, 35802 DOI: 10.1039/C8RA07766E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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