Increased evidence has documented a direct association between Ciprofloxacin (CFX) intake and significant disruption to the normal functions of connective tissues, leading to severe health conditions (such as tendonitis, tendon rupture and retinal detachment). Additionally, CFX is recognized as a potential emerging pollutant, as it seems to impact both animal and human food chains, resulting in severe health implications. Consequently, there is a compelling need for the precise, swift and selective detection of this fluoroquinolone-class antibiotic. Herein, we present a novel graphene-based electrochemical sensor designed for Ciprofloxacin (CFX) detection and discuss its practical utility. The graphene material was synthesized using a relatively straightforward and cost-effective approach involving the electrochemical exfoliation of graphite, through a pulsing current, in 0.05 M sodium sulphate (NaSO), 0.05 M boric acid (HBO) and 0.05 M sodium chloride (NaCl) solution. The resulting material underwent systematic characterization using scanning electron microscopy/energy dispersive X-ray analysis, X-ray powder diffraction and Raman spectroscopy. Subsequently, it was employed in the fabrication of modified glassy carbon surfaces (EGr/GC). Linear Sweep Voltammetry studies revealed that CFX experiences an irreversible oxidation process on the sensor surface at approximately 1.05 V. Under optimal conditions, the limit of quantification was found to be 0.33 × 10 M, with a corresponding limit of detection of 0.1 × 10 M. Additionally, the developed sensor's practical suitability was assessed using commercially available pharmaceutical products.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11012167PMC
http://dx.doi.org/10.3390/ijms25073691DOI Listing

Publication Analysis

Top Keywords

ciprofloxacin cfx
8
severe health
8
005 sodium
8
harnessing graphene-modified
4
graphene-modified electrode
4
electrode sensitivity
4
sensitivity enhanced
4
enhanced ciprofloxacin
4
detection
4
ciprofloxacin detection
4

Similar Publications

The long-term presence of antibiotics in the aquatic environment will affect ecology and human health. Techniques for determining antibiotics are often time-consuming, labor-intensive and costly, and it is desirable to seek new methods to achieve rapid prediction of antibiotics. Many scholars have shown the effectiveness of machine learning in water quality prediction, however, its effectiveness in predicting antibiotic concentrations in the aquatic environment remains inconclusive.

View Article and Find Full Text PDF

Concomitant Therapy of Inactivated CECT7121 with Fluoroquinolones in a Enteritidis Murine Sepsis Model.

Indian J Microbiol

December 2024

Facultad de Ciencias Veterinarias, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNCPBA), Paraje Arroyo Seco, Campus Universitario, 7000 Tandil, Buenos Aires, Argentina.

Optimization of existing antimicrobial therapies is a strategy proposed for extending antimicrobial activity and delaying resistance development. This study aimed to assess the effect of inactivated CECT7121 (I-EFCECT7121) in a combined therapy with Enrofloxacin or Ciprofloxacin in a Enteritidis murine sepsis model. Firstly, dose titration studies were performed to set up: (a) Enteritidis (SE) Lethal dose 99 (LD99) and (b) safety of I-EFCECT7121 (c) I-EFCECT7121 dosage scheme.

View Article and Find Full Text PDF
Article Synopsis
  • Antibiotics like Ciprofloxacin, tetracycline, and Tobramycin are widely used but can lead to antibiotic resistance when their residues enter the environment.
  • Traditional monitoring methods for these antibiotics, such as LC-MS, are costly and complex, while nanoscale field-effect transistors (FETs) offer quick and sensitive alternatives but struggle with consistency in performance.
  • The study presents an innovative approach using thermally reduced graphene oxide FETs on printed circuit boards, achieving ultra-sensitive detection of antibiotics at femtomolar levels with machine learning, enabling effective monitoring of water contamination.
View Article and Find Full Text PDF

Fluorometric detection of quinolones via AIE and FRET with terbium-doped carbon dots and copper nanoclusters.

Food Chem

February 2025

Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Assiut University, Assiut 71526, Egypt. Electronic address:

Terbium and nitrogen co-doped carbon dots (Tb@N-CDs), combined with α-lipoic acid-functionalized copper nanoclusters (LA@CuNCs), were proposed for the ratiometric detection of quinolone (QA) antibiotics. In this system, Tb@N-CDs facilitate the aggregation of LA@CuNCs, enhancing its fluorescence emission at 670 nm via aggregation-induced emission enhancement (AIEE). Meanwhile, the fluorescence emission of Tb@N-CDs at 460 nm diminishes due to Förster resonance energy transfer (FRET).

View Article and Find Full Text PDF

A rapid synthesis of a pH-stable magnetic nano-sensor (iron oxide nanoparticles, Fe-NPs, ∼2.6 nm) encapsulated with 3-aminobenzoic acid (3-ABA) was achieved. 3-ABA was prepared for the first time through the reduction of 3-nitrobenzoic acid (3-NBA) in the presence of HCl and tin.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!