Voltammetric determination of levofloxacin in meat and milk using a sensor based on electrically reduced graphene oxide and functionalized fullerene

Antibacterial drugs have become an integral part of the food industry and agriculture in the modern world. The presence of even trace amounts of antibiotics in food of animal origin can lead to the development of allergic reactions and direct toxic effects in the human body. In this regard, it is required to create sensitive and selective methods for the determination of antibacterial drugs in order to prevent their excessive consumption. In this work, a glass-carbon voltammetric sensor based on layer-by-layer deposited electrospun graphene oxide and functionalized S-N,N’-bis(1-phenylethyl)malonamide fullerene is proposed for the determination of levofloxacin (Lev, S-(-)-ofloxacin) by differential pulse voltammetry. The calibration plot is linear over two ranges of 1.0 × 10-6 -6.0 × 10-5 M and 6.0 × 10-5 -5.0 × 10-4 M Lev with sensitivity factors of 107 and 58.0 μA/mM, respectively. The detection limit and lower limit of detectable contents were 1.8 × 10-7 M and 6.04 × 10-7 M, respectively. The selectivity of the sensor to Lev was evaluated with respect to some fluoroquinolone antibiotics: ciprofloxacin, lomefloxacin, enrofloxacin. The sensor was used for the determination of Lev in meat and milk by differential pulse voltammetry.

Authors

Institutions

Publication Details

Journal
Журнал аналитической химии
Published
2024-12-22
DOI
https://doi.org/10.31857/s0044450224060057
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Voltammetric determination of levofloxacin in meat and milk using a sensor based on electrically reduced graphene oxide and functionalized fullerene

I. A. Abramov, В. Н. Майстренко, Svetlana Gainanova, Л. Р. Загитова
Журнал аналитической химии
Advanced biosensing and bioanalysis techniques
article

Voltammetric determination of levofloxacin in meat and milk using a sensor based on electrically reduced graphene oxide and functionalized fullerene

I. A. Abramov, В. Н. Майстренко, Svetlana Gainanova, Л. Р. Загитова
article en

Abstract

Antibacterial drugs have become an integral part of the food industry and agriculture in the modern world. The presence of even trace amounts of antibiotics in food of animal origin can lead to the development of allergic reactions and direct toxic effects in the human body. In this regard, it is required to create sensitive and selective methods for the determination of antibacterial drugs in order to prevent their excessive consumption. In this work, a glass-carbon voltammetric sensor based on layer-by-layer deposited electrospun graphene oxide and functionalized S-N,N’-bis(1-phenylethyl)malonamide fullerene is proposed for the determination of levofloxacin (Lev, S-(-)-ofloxacin) by differential pulse voltammetry. The calibration plot is linear over two ranges of 1.0 × 10-6 -6.0 × 10-5 M and 6.0 × 10-5 -5.0 × 10-4 M Lev with sensitivity factors of 107 and 58.0 μA/mM, respectively. The detection limit and lower limit of detectable contents were 1.8 × 10-7 M and 6.04 × 10-7 M, respectively. The selectivity of the sensor to Lev was evaluated with respect to some fluoroquinolone antibiotics: ciprofloxacin, lomefloxacin, enrofloxacin. The sensor was used for the determination of Lev in meat and milk by differential pulse voltammetry.

Журнал аналитической химииVol. 79(6)
University of Science and Technology (YE), Korea University of Science and Technology (KR)
Zero hunger
Openalex Percentile: Top 79%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.