$ CuCo_{2} $$ O_{4} $ nanoneedle arrays growth on carbon cloth as a non-enzymatic electrochemical sensor with low detection limit ketoprofen recognition

An electrochemical sensor for detecting ketoprofen was constructed by in-situ grown copper cobaltate ($ CuCo_{2} $$ O_{4} $) nanoneedle arrays on a carbon cloth (CC) substrate. The resulting porous nanoneedle arrays not only expose numerous electrochemically active sites but also significantly enhance the electrochemical apparent active area and current transmission efficiency. By leveraging its electrochemical properties, the sensor achieves an impressive detection limit for ketoprofen of 0.7 pM, with a linear range spanning from 2 pM ~ 2 µM. Furthermore, the sensor exhibits remarkable reproducibility, anti-interference capabilities, and stability. Notably, the developed sensor also performed ketoprofen detection on real samples (including drug formulations and wastewater) and demonstrated excellent recognition ability. These exceptional performances can be attributed to the direct growth of $ CuCo_{2} $$ O_{4} $ nanoneedle arrays on the CC substrate, which facilitates a robust electrical connection, provides abundant electrocatalytic active sites, and expands the apparent active area. Consequently, these improvements contribute to the efficient trace detection capabilities of the ketoprofen sensor. Graphical Abstract.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:191

Enthalten in:

Microchimica acta - 191(2024), 4 vom: 26. März

Sprache:

Englisch

Beteiligte Personen:

Liu, Yan [VerfasserIn]
Xin, Yuying [VerfasserIn]
Wang, Xin [VerfasserIn]
Zhang, Xianfa [VerfasserIn]
Xu, Yingming [VerfasserIn]
Cheng, Xiaoli [VerfasserIn]
Gao, Shan [VerfasserIn]
Huo, Lihua [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

BKL:

35.00

Themen:

Carbon cloth substrate
CuCo
Differential pulse voltammetry
Electrochemical sensor
Ketoprofen
Nanoneedle arrays
O

Anmerkungen:

© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s00604-024-06299-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR055301886