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Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics
Published on: January 22, 2020
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Microcontact imprinted quartz crystal microbalance nanosensor for protein C recognition
Monireh Bakhshpour1, Erdoğan Özgür1, Nilay Bereli1
1Hacettepe University, Department of Chemistry, Beytepe, Ankara, Turkey.
Colloids and Surfaces. B, Biointerfaces
|December 27, 2016
Summary
A novel quartz crystal microbalance (QCM) sensor utilizing molecular imprinting techniques (MIP) demonstrates high selectivity and sensitivity for detecting protein C (PC) in human serum and plasma. This MIP-based QCM sensor achieved a low detection limit of 0.01μg/mL for protein C analysis.
Area of Science:
- Biosensors
- Analytical Chemistry
- Materials Science
Background:
- Protein C (PC) plays a crucial role in the coagulation cascade.
- Accurate and sensitive detection of PC is vital for diagnosing and managing thrombotic disorders.
- Existing detection methods may lack the required sensitivity, selectivity, or speed for clinical applications.
Purpose of the Study:
- To develop a highly selective and sensitive sensor for protein C (PC) detection.
- To integrate molecular imprinting technique (MIP) with quartz crystal microbalance (QCM) for enhanced PC sensing.
- To evaluate the performance of the developed sensor in complex biological matrices like human plasma.
Main Methods:
- Fabrication of a PC-specific molecularly imprinted nanofilm (PC-μCIP) on a QCM sensor.
- Utilizing functional monomers (HEMA, EGDMA, MAH) and copper(II) ions for imprinting.
- Characterization of the sensor using AFM, contact angle, ellipsometry, and FTIR.
- Testing sensor selectivity against other proteins (Hb, HSA, fibrinogen) and performance in human plasma.
- Determining the detection limit and assessing sensor reusability over multiple cycles.
Main Results:
- The PC-μCIP/QCM sensor exhibited high sensitivity and selectivity for protein C.
- The sensor demonstrated a low detection limit of 0.01μg/mL for PC.
- The sensor maintained good performance over five adsorption-desorption cycles, indicating reusability.
- Successful detection of PC was achieved in both aqueous solutions and human plasma samples.
Conclusions:
- The developed PC-μCIP/QCM sensor offers a promising platform for sensitive and selective protein C detection.
- This MIP-based QCM sensor shows potential for clinical diagnostics and research applications.
- The integration of MIP and QCM provides a robust method for detecting specific biomolecules in complex biological fluids.

