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A piezoelectric-based immunosensor for high density lipoprotein particle measurement
Suticha Chunta1, Jamikorn Suk-Anake, Kosum Chansiri
1Department of Clinical Chemistry, Faculty of Medical Technology, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Phuttamonthon, Nakhon Pathom 73170, Thailand. chamras.pro@mahidol.ac.th.
The Analyst
|July 18, 2014
Summary
A novel piezoelectric immunosensor accurately measures high-density lipoprotein particles (HDL-P) using antibody immobilization. This biosensor offers a reliable method for quantifying HDL-P, crucial for cardiovascular health assessment.
Area of Science:
- Biosensors
- Nanotechnology
- Analytical Chemistry
Background:
- High-density lipoprotein particle (HDL-P) measurement is vital for cardiovascular risk assessment.
- Existing methods for HDL-P quantification can be complex and time-consuming.
- Development of rapid and accurate biosensors is needed for routine clinical diagnostics.
Purpose of the Study:
- To develop and validate a piezoelectric-based immunosensor for the quantitative measurement of HDL-P.
- To optimize antibody immobilization for enhanced sensor performance.
- To assess the sensor's accuracy, precision, and interference from other lipoproteins.
Main Methods:
- Fabrication of a piezoelectric quartz crystal biosensor by immobilizing anti-human apolipoprotein A1 antibody.
- Utilizing a 3-mercaptopropionic acid self-assembled monolayer for antibody attachment.
- Measuring HDL-P concentration via frequency shift due to antigen-antibody binding.
Main Results:
- Optimal antibody immobilization achieved with 0.1 mg/ml for 90 minutes, with binding completed in 60 minutes.
- Linear dose-response for HDL-P from 0.21 to 2.50 mg protein/ml (0.40–3.65 × 10^10 particles/µl).
- High analytical accuracy (96.29-96.31%), good precision (CV 7.8-18.5%), and minimal interference from other lipoproteins.
Conclusions:
- The developed piezoelectric immunosensor provides a sensitive and specific method for HDL-P quantification.
- The sensor demonstrates excellent correlation (R² = 0.902) with a standard enzymatic assay.
- This technology holds potential for improved clinical diagnostics of cardiovascular disease risk.

