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Analyzing Binding Specificity in a Microparticle-Based DNA Displacement Assay Using Multiharmonic QCM-D.

Taghi Moazzenzade¹, Luna Loohuis¹, Serge G Lemay¹

¹Department for Molecules and Materials, MESA+ Institute and Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.

Langmuir : the ACS Journal of Surfaces and Colloids

|November 26, 2024

Summary

This summary is machine-generated.

This study introduces a new method using quartz crystal microbalance with dissipation monitoring (QCM-D) to evaluate the specificity of microparticle binding on DNA surfaces. The technique enhances biosensor reliability by assessing antifouling properties and reducing nonspecific interactions.

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Area of Science:

Biosensing
Surface Chemistry
Nanotechnology

Background:

Particles amplify signals in biosensors, but size-dependent adhesion causes nonspecific binding.
Developing antifouling surfaces and precise evaluation methods are crucial for microscale particle-based sensors.

Purpose of the Study:

To investigate microparticle binding specificity on DNA-functionalized surfaces using QCM-D.
To develop and validate a competitive particle displacement assay for evaluating surface antifouling properties.

Main Methods:

Utilized quartz crystal microbalance with dissipation monitoring (QCM-D) for real-time analysis.
Designed a competitive particle displacement assay employing toehold-mediated strand displacement.
Measured dissipation change (ΔD) and analyzed QCM-D harmonics, including the frequency of zero crossing (fZC).

Main Results:

Demonstrated that microparticle displacement efficiency correlates with surface modification.
Showcased that QCM-D harmonics, specifically fZC, can characterize particle binding specificity.
Validated ΔD as a measure of displacement efficiency in the competitive assay.

Conclusions:

Combined fZC and ΔD measurements offer a synergistic approach to evaluate particle binding specificity on DNA-coated surfaces.
This method enhances the reliability and antifouling assessment of surface-based biosensors.
The findings contribute to the development of more precise and specific biosensing platforms.