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Updated: Apr 6, 2026
Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
Published on: October 25, 2013
Modeling approach for Ti3C2 MXene-based fluorescent aptasensor for amoxicillin biosensing in water matrices
Maroua Zermane1, Mohammed Berkani2, Ahlem Teniou1
1Bioengineering Laboratory, Higher School of Biotechnology, Ville Universitaire Ali Mendjeli, BP E66, 25100, Constantine, Algeria.
Abstract:
Amoxicillin, a member of the penicillin family, is primarily utilized for the treatment of various bacterial infections affecting ears, nose, throat, urinary tract, and skin. Given its widespread application in medicine, agriculture, environment, and food industry, the precise and sensitive detection of amoxicillin is important. This study introduces a novel approach to developing a sensitive and selective fluorescent aptasensor relying on fluorescence resonance energy transfer (FRET) for the specific detection of amoxicillin. The carboxyfluorescein-labeled aptamer serves as a energy donor, while MXene functions as an energy acceptor, and acting as a quencher. To achieve optimal detection efficiency, a dual optimization strategy utilizing RSM-CCD and ANN-GA was used to fine-tune experimental conditions. The fluorescence measurements revealed an expansive linear range extending from 100 to 2400 ng mL-1, accompanied by an exceptionally low detection limit of 1.53 ng mL-1. Additionally, it shows an excellent selectivity towards amoxicillin over other antibiotics commonly found in water matrices. The aptasensor demonstrates good stability and reproducibility; effectiveness of the aptasensor was validated by testing in real water samples. This remarkable sensitivity and broad dynamic range affirm the efficacy aptasensor in accurately detecting varying concentrations of amoxicillin in wastewater bodies.
Insights
A new fluorescent aptasensor accurately detects amoxicillin, a common antibiotic, in water. This sensitive method offers a low detection limit and broad linear range for environmental monitoring.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Environmental Science
Background:
- Amoxicillin is a widely used penicillin-class antibiotic with applications in medicine, agriculture, and the food industry.
- Precise and sensitive detection of amoxicillin is crucial due to its extensive use and potential environmental impact.
- Existing detection methods may lack the sensitivity or selectivity required for complex matrices like wastewater.
Purpose of the Study:
- To develop a novel, sensitive, and selective fluorescent aptasensor for amoxicillin detection.
- To optimize the aptasensor performance using a dual optimization strategy.
- To validate the aptasensor's efficacy in real-world water samples.
Main Methods:
- Development of a fluorescence resonance energy transfer (FRET)-based aptasensor using a carboxyfluorescein-labeled aptamer (donor) and MXene (acceptor/quencher).
- Optimization of experimental conditions using Response Surface Methodology-Central Composite Design (RSM-CCD) and Artificial Neural Network-Genetic Algorithm (ANN-GA).
- Characterization of the aptasensor's linear range, detection limit, selectivity, stability, and reproducibility.
Main Results:
- The aptasensor exhibited a broad linear range from 100 to 2400 ng/mL for amoxicillin detection.
- An exceptionally low limit of detection (LOD) of 1.53 ng/mL was achieved.
- The aptasensor demonstrated excellent selectivity for amoxicillin against other common antibiotics and was validated in real water samples.
Conclusions:
- The developed FRET-based fluorescent aptasensor provides a highly sensitive and selective method for amoxicillin detection.
- The dual optimization strategy effectively enhanced the aptasensor's performance.
- This aptasensor is a promising tool for monitoring amoxicillin concentrations in environmental water samples.
