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Updated: Jun 5, 2025

Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment
Published on: April 4, 2017
Biomarker detection based on nanoparticle-induced ultrasonic Rayleigh scattering
Wangyang Zhang1, Chaoshan Zhao1, Haoliang Jia1
1Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, China.
This study introduces a novel ultrasonic method using nanoparticles and capacitive micromachined ultrasonic transducers (CMUTs) for cost-effective biochemical detection. This approach enables sensitive and reliable detection of cancer biomarkers like CA19-9.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Biochemical Sensing
Background:
- Current ultrasonic biochemical detection methods are costly, unreliable, and lack repeatability.
- Existing techniques require direct modification of device surfaces, hindering rapid, low-cost testing.
Purpose of the Study:
- To develop a novel, low-cost, and reliable ultrasonic method for biochemical detection.
- To demonstrate the feasibility of using nanoparticles with capacitive micromachined ultrasonic transducers (CMUTs) for biomarker detection.
Main Methods:
- Developed a detection mechanism based on Rayleigh scattering of acoustic waves by nanoparticles.
- Utilized antibodies on an insertable substrate coupled with CMUTs and gold nanoparticles (AuNPs).
- Established a detection theory and verified parameters using various nanoparticles for CA19-9 antigen detection.
Main Results:
- Successfully measured CA19-9 antigen concentrations using a 1 MHz CMUT chip.
- Observed a decrease in receiving voltage with increasing CA19-9 concentration (0.1-1000 U/mL).
- Demonstrated negligible interference from other common biological markers, confirming robustness.
Conclusions:
- The developed CMUT-nanoparticle system offers a feasible and robust platform for sensitive biochemical detection.
- This novel approach overcomes limitations of current methods, enabling low-cost, rapid biomarker analysis.
- The technology shows promise for applications in medical diagnosis and disease monitoring.
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