CuCo2O4 nanoneedle arrays growth on carbon cloth as a non-enzymatic electrochemical sensor with low detection limit ketoprofen recognition

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature..

An electrochemical sensor for detecting ketoprofen was constructed by in-situ grown copper cobaltate (CuCo2O4) 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 CuCo2O4 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:191

Enthalten in:

Mikrochimica acta - 191(2024), 4 vom: 26. März, Seite 218

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

Themen:

Carbon cloth substrate
CuCo2O4
Differential pulse voltammetry
Electrochemical sensor
Journal Article
Ketoprofen
Nanoneedle arrays

Anmerkungen:

Date Revised 08.04.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1007/s00604-024-06299-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370199774