An Ordered Mesoporous Carbon Nanofiber Array for the Sensitive Electrochemical Detection of Malachite Green

The recycling of environmental wastes to produce value‐added materials is an attractive prospect for both economic and social development. Herein, we use natural crab shell as the templates to synthesize ordered mesoporous carbon nanofiber arrays (OMCNs) based on a combined hard‐templating and surfa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ChemElectroChem 2020-02, Vol.7 (3), p.659-664
Hauptverfasser: Yang, Beibei, Bin, Duan, Tian, Tongtong, Liu, Yun, Liu, Baohong
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The recycling of environmental wastes to produce value‐added materials is an attractive prospect for both economic and social development. Herein, we use natural crab shell as the templates to synthesize ordered mesoporous carbon nanofiber arrays (OMCNs) based on a combined hard‐templating and surfactant self‐assembly approach. The Brunauer‐Emmett‐Teller surface area of the OMCNs is calculated to be 1200 m2 g−1, which is accompanied by good conductivity and a mesoporous structure. The as‐prepared OMCNs exhibit a remarkable electrochemical performance for the detection of malachite green (MG). Differential pulse voltammetry (DPV) reveals that the MG sensor has a wide linear range from 0.1 μM to 22.1 μM with a low detection limit of 0.05 μM. The MG sensor also shows a good stability and excellent anti‐interference, which are investigated by cyclic voltammetry. Furthermore, such an electrochemical sensor is successfully applied for the determination of MG in fishery water samples. Something fishy: Waste natural crab shell is used as the biological template for the preparation of ordered mesoporous carbon nanofiber arrays (OMCNs), which are used as an electrochemical sensor for the highly sensitive and selective detection of malachite green (MG).
ISSN:2196-0216
2196-0216
DOI:10.1002/celc.201901689