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Updated: Aug 12, 2026

A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
Published on: February 19, 2016
A competitive dual-mode for tetracycline antibiotics sensing based on colorimetry and surface-enhanced Raman
Junjie Qi1, Yuqi Wan1, Jingkun Li1
1State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, 214122, Wuxi, Jiangsu, People's Republic of China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 214122, Wuxi, Jiangsu, People's Republic of China; International Joint Laboratory on Food Safety, Jiangnan University, 214122, Wuxi, Jiangsu, People's Republic of China.
A new dual-mode detection method using colorimetric sensing and surface-enhanced Raman scattering (SERS) offers sensitive and rapid evaluation of tetracycline antibiotics (TCs) in food and environmental samples.
Area of Science:
- Analytical Chemistry
- Materials Science
- Environmental Science
Background:
- Tetracycline antibiotics (TCs) are widely used but their overuse leads to accumulation in food and the environment.
- This accumulation poses a significant threat to human health due to antimicrobial resistance.
- Existing detection methods may lack the sensitivity or speed required for effective monitoring.
Purpose of the Study:
- To develop a novel dual-mode detection method for sensitive and rapid evaluation of TCs.
- To integrate colorimetric sensing with surface-enhanced Raman scattering (SERS) technology.
- To create a nanoprobe with enhanced catalytic and SERS properties for TCs detection.
Main Methods:
- Design and synthesis of an Ag@NH2-MIL-101(Al)-Ag nanoprobe.
- Utilizing the nanoprobe's peroxidase-like activity for a competitive colorimetric assay with TMB.
- Employing the nanoprobe's enhanced SERS performance for sensitive TCs detection.
- Validating the method using honey samples.
Main Results:
- The dual-mode method achieved high sensitivity and selectivity for TCs.
- Limits of detection (LODs) were 10⁻³ ppm (colorimetric) and 10⁻⁵ ppm (SERS).
- Reliable detection in honey samples with recoveries from 87.69% to 120.49% was demonstrated.
Conclusions:
- The developed colorimetric-SERS dual-mode sensing strategy offers a valuable tool for TCs detection.
- This approach combines the ease of colorimetric analysis with the high sensitivity of SERS.
- It provides a rapid, direct, and multiplexed evaluation for various hazards in environmental and food chains.
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