Batch injection analysis with amperometric detection for fluoroquinolone determination in urine, pharmaceutical formulations, and milk samples using a reduced graphene oxide-modified glassy carbon electrode

© 2021. Springer-Verlag GmbH Germany, part of Springer Nature..

In this work, the batch injection analysis system with amperometric detection using reduced graphene oxide as a modifier of glassy carbon electrode (GCE) was investigated for the simple, fast, and sensitive monitoring of levofloxacin (LEVO) and ciprofloxacin (CIPRO) in samples of pharmaceutical formulations, synthetic urine, and milk (low- and high-fat content). LEVO and CIPRO were quantified in seven samples using amperometric measurements at +1.10 V vs Ag/AgCl, KCl(sat). The developed methods showed excellent analytical performance with limits of detection of 0.30 and 0.16 μmol L-1, linear range from 3.0 to 50 μmol L-1 and 1.0 to 50 μmol L-1, relative standard deviation below 9.7 and 3.1%, and recovery ranges ranging from 80 to 107% and from 78 to 109% for LEVO and CIPRO, respectively. In addition, the minimum sample preparation (simple dilution) combined with a high analytical frequency (130 to 180 analyses per hour) can be highlighted. Thus, the methods are promising for implementation in routine analysis and quality control to different samples.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:414

Enthalten in:

Analytical and bioanalytical chemistry - 414(2022), 18 vom: 27. Juli, Seite 5309-5318

Sprache:

Englisch

Beteiligte Personen:

de Faria, Lucas Vinícius [VerfasserIn]
de Farias, Davi Marques [VerfasserIn]
Lisboa, Thalles Pedrosa [VerfasserIn]
Matos, Maria Auxiliadora Costa [VerfasserIn]
Munoz, Rodrigo Alejandro Abarza [VerfasserIn]
Matos, Renato Camargo [VerfasserIn]

Links:

Volltext

Themen:

5E8K9I0O4U
7440-44-0
7782-42-5
Batch injection analysis
Carbon
Ciprofloxacin
Fluoroquinolones
Graphene oxide
Graphite
Journal Article
Milk
Pharmaceutical formulations
Reduced graphene oxide sensor
Urine

Anmerkungen:

Date Completed 01.07.2022

Date Revised 01.07.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s00216-021-03342-3

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM324439385