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Updated: May 1, 2026

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Optical Trapping of Nanoparticles
Published on: January 15, 2013
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Innovative Detection of Biomarkers Based on Chemiluminescent Nanoparticles and a Lensless Optical Sensor
Cristina Potrich1,2, Gianluca Palmara1,3, Francesca Frascella3
1Fondazione Bruno Kessler, Center for Sensors & Devices, Via Sommarive 18, I-38123 Trento, Italy.
Biosensors
|April 26, 2024
Summary
This study presents a rapid, low-cost biosensor combining lateral flow tests with chemiluminescence for sensitive biomarker detection. The innovative system achieves quick results with minimal sample preparation, aiding disease diagnosis.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Biosensing Technologies
Background:
- Accurate disease diagnosis and monitoring require sensitive identification and quantification of biomarkers.
- Traditional biomarker detection methods are often time-consuming and costly.
- Lateral flow tests (LFTs) offer rapid, low-cost biomarker detection, with potential for enhanced sensitivity via chemiluminescence biosensing.
Purpose of the Study:
- To develop and characterize a novel biosensor system integrating LFTs with lensless chemiluminescence biosensing.
- To evaluate the system's performance for rapid and sensitive biomarker detection.
Main Methods:
- Development of a lateral flow test strip using gold nanoparticles functionalized with antibodies and labeled with horseradish peroxidase.
- Integration of the LFT strip with a lensless biosensor featuring four Silicon Photomultipliers (SiPM).
- Utilization of microfluidics for efficient liquid handling.
Main Results:
- The developed biosensor system demonstrated rapid readout capabilities (under 5 minutes).
- The system requires minimal sample preparation.
- Using C-reactive protein as a model biomarker, a limit of detection of approximately 0.8 pM was achieved with gold nanoparticles.
Conclusions:
- The integrated LFT and lensless biosensor system offers a promising platform for fast and sensitive detection of human biomarkers.
- This technology has potential applications in point-of-care diagnostics and disease management.
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