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Fluorescent Lateral Flow Immunoassay Based on Quantum Dots Nanobeads
Published on: June 28, 2024
Towards a targeted Escherichia coli fluorescent biosensor using quantum-dot-decorated geothermal silica nanoparticles
Shaimah Rinda Sari1, Diaz Ayu Widyasari2,3, Fauzan Aulia4
1Department of Chemistry and Applied Chemistry, Faculty of Science and Engineering, Saga University, 1 Honjomachi, Saga 840-8502, Japan.
Journal of Materials Chemistry. B
|June 16, 2026
Summary
A new fluorescent biosensor using quantum dots on silica nanoparticles detects Escherichia coli (E. coli) with high sensitivity. This advancement improves water quality monitoring and public health safety against waterborne diseases.
Area of Science:
- Nanotechnology
- Environmental Science
- Biotechnology
Background:
- Water quality monitoring is crucial for public health, with Escherichia coli (E. coli) being a key indicator of fecal contamination and a cause of waterborne diseases.
- Current detection methods for E. coli can be time-consuming and lack the sensitivity required for rapid public health interventions.
Purpose of the Study:
- To develop a highly sensitive and rapid fluorescent biosensor for the detection of E. coli in water samples.
- To utilize quantum-dot-modified silica nanoparticles functionalized with antibodies for enhanced specificity and sensitivity.
Main Methods:
- Synthesis of silica nanoparticles (SiNP) and modification with amine-CdSe quantum dots (QD) to create SiNP@QD.
- Immobilization of E. coli antibodies onto SiNP@QD to form the SiNP@QD-Ab biosensor.
- Characterization of nanoparticles using BET, FESEM, and XRD; detection of E. coli using fluorescence spectrophotometry.
Main Results:
- The SiNP@QD-Ab biosensor demonstrated high sensitivity with a limit of detection (LOD) of 1.6 CFU mL⁻¹ for E. coli.
- Optimal detection was achieved with a 15-minute incubation time.
- The biosensor showed specific fluorescence detection in the 400-800 nm range upon excitation at 360 nm.
Conclusions:
- The developed SiNP@QD-Ab biosensor provides a swift, accurate, and highly sensitive method for E. coli detection.
- This platform holds significant potential for improving water safety, environmental monitoring, and public health surveillance.

