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Updated: Jul 14, 2026

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Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
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Revolutionizing Escherichia coli detection in real samples with digital SERS aptamer sensor technology
Mengmeng Wang1, Li Zheng1, Fan Sun2
1College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China.
Summary
This study introduces a digital SERS aptamer sensor for rapid and ultrasensitive detection of Escherichia coli (E. coli). The novel sensor achieves precise bacterial quantification with high selectivity and a low detection limit, promising applications in food safety.
Area of Science:
- Nanotechnology
- Biosensing
- Analytical Chemistry
Background:
- Aptamer sensors utilizing surface-enhanced Raman scattering (SERS) show promise for detecting Escherichia coli (E. coli).
- Existing methods require optimization for sensitivity, speed, and precise quantification.
Purpose of the Study:
- To develop and validate a digital SERS aptamer sensor for highly sensitive and rapid quantification of E. coli.
- To integrate ordered nanoscale array synthesis and digital analysis for enhanced bacterial detection.
Main Methods:
- Fabrication of ordered monolayer gold nanosphere arrays (Au NS) on silicon wafers to create uniform "hot spots".
- Utilizing digital SERS for signal uniformity and precise quantification.
- Employing aptamer-DNA base pairing and competitive displacement for E. coli detection.
Main Results:
- The digital SERS aptamer sensor demonstrated excellent selectivity, reproducibility, and a wide linear dynamic detection range (1.0 x 10^1 to 1.0 x 10^9 CFU/ml).
- Achieved a low detection limit of 0.657 CFU/ml.
- Maintained specificity in the presence of mixed bacterial interference, with spiked recoveries ranging from 98.80% to 99.81% in actual samples.
Conclusions:
- The developed digital SERS aptamer sensor enables ultrasensitive, rapid, and precise quantification of E. coli.
- The sensor exhibits high specificity and reliability, suitable for real-world sample analysis.
- This technology holds significant potential for applications in food safety and environmental monitoring.
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