Jump to main content
Jump to site search

Issue 28, 2017
Previous Article Next Article

FeCo nanoparticles-embedded carbon nanofibers as robust peroxidase mimics for sensitive colorimetric detection of L-cysteine

Author affiliations

Abstract

A simple and low cost detection of L-cysteine is essential in the fields of biosensors and medical diagnosis. In this study, we have developed a simple electrospinning, followed by calcination process to prepare FeCo nanoparticles embedded in carbon nanofibers (FeCo-CNFs) as an efficient peroxidase-like mimic for the detection of L-cysteine. FeCo nanoparticles are uniformly dispersed within CNFs, and their diameters are highly influenced by the calcination temperature. The calcination temperature also influences the peroxidase-like catalytic activity, and the maximum activity is achieved at a calcination temperature of 550 °C. Owing to the high catalytic activity of the as-prepared FeCo-CNFs, a colorimetric technique for the rapid and accurate determination of L-cysteine has been developed. The detection limit is about 0.15 μM with a wide linear range from 1 to 20 μM. In addition, a high selectivity for the detection of L-cysteine over other amino acids, glucose and common ions is achieved. This study provides a simple, rapid and sensitive sensing platform for the detection of L-cysteine, which is a promising candidate for potential applications in biosensing, medicine, environmental monitoring.

Graphical abstract: FeCo nanoparticles-embedded carbon nanofibers as robust peroxidase mimics for sensitive colorimetric detection of l-cysteine

Back to tab navigation

Supplementary files

Publication details

The article was received on 03 May 2017, accepted on 07 Jun 2017 and first published on 08 Jun 2017


Article type: Paper
DOI: 10.1039/C7DT01611E
Citation: Dalton Trans., 2017,46, 8942-8949
  •   Request permissions

    FeCo nanoparticles-embedded carbon nanofibers as robust peroxidase mimics for sensitive colorimetric detection of L-cysteine

    Z. Yang, Y. Zhu, G. Nie, M. Li, C. Wang and X. Lu, Dalton Trans., 2017, 46, 8942
    DOI: 10.1039/C7DT01611E

Search articles by author

Spotlight

Advertisements