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Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
Bimetallic-doped carbon dots-driven three-mode sensor Array for tetracycline antibiotics identification
Rong Hu1, Gui-Xin Guo1, Yin-Ni Li1
1School of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Food Chemistry
|August 11, 2026
Summary
This study introduces a novel sensor array for distinguishing tetracycline antibiotics (TCs). The sensor uses a single material to create unique fingerprints for accurate identification in complex samples.
Area of Science:
- Analytical Chemistry
- Materials Science
- Environmental Science
Background:
- Tetracycline antibiotics (TCs) are widely used in agriculture and medicine.
- Their structural similarity poses challenges for detection and discrimination in environmental and food samples.
- Accurate monitoring of TCs is crucial for food safety and environmental protection.
Purpose of the Study:
- To develop a sensitive and selective sensor array for the discrimination of individual tetracycline antibiotics (TCs) and their mixtures.
- To utilize a single Mn/Ce-doped carbon dot (Mn/Ce@CDs) material for multiplexed sensing.
- To demonstrate the practical applicability of the developed sensor in real-world samples.
Main Methods:
- Development of a triple-signal sensor array integrating fluorescence, oxidase-mimicking activity, and photothermal conversion using Mn/Ce@CDs.
- Utilizing differential inhibition of catalytic activity and fluorescence quenching by TCs to generate compound-specific response fingerprints.
- Applying linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA) for data processing and discrimination.
Main Results:
- The Mn/Ce@CDs based sensor array successfully discriminated four types of TCs (tetracycline, chlortetracycline, oxytetracycline, doxycycline) based on unique response fingerprints.
- Accurate identification of individual TCs and their mixtures was achieved with excellent anti-interference capabilities.
- The method demonstrated successful application in analyzing sewage water, milk, and honey samples.
Conclusions:
- The developed triple-signal sensor array offers a promising approach for the multiplexed analysis and discrimination of tetracycline antibiotics.
- The Mn/Ce@CDs material provides a versatile platform for integrated sensing functionalities.
- This method holds significant potential for routine monitoring of TCs in food and environmental safety applications.
