Surface Probe Linker with Tandem Anti-Fouling Properties for Application in Biosensor Technology

Area of Science:

• Biomaterials Science
• Surface Chemistry
• Biosensor Technology

Background:

• Biofouling remains a significant challenge in biosensor applications, hindering device performance and longevity.
• Surface modification is crucial for developing effective anti-fouling strategies in biosensing.
• Existing surface linkers may not offer optimal performance in complex biological matrices.

Purpose of the Study:

• To evaluate the anti-fouling capability of a novel monolayer-forming surface linker, 3-(3-(trichlorosilylpropyloxy) propanoyl chloride (MEG-Cl).
• To assess the compatibility of MEG-Cl with biosensor configurations, specifically electromagnetic piezoelectric acoustic sensor (EMPAS) devices.
• To determine if MEG-Cl retains its anti-fouling properties when functionalized with Ni-NTA for protein binding.

Main Methods:

• Synthesis and characterization of the novel MEG-Cl surface linker.
• Attachment of MEG-Cl to quartz crystal surfaces for EMPAS device fabrication.
• Functionalization of MEG-Cl coated surfaces with Ni-NTA.
• Testing of anti-fouling properties using serum and milk, and evaluation of recombinant protein binding.

Main Results:

• MEG-Cl successfully formed monolayers on quartz crystal surfaces.
• The MEG-Cl coated EMPAS devices demonstrated significant anti-fouling capabilities, comparable to existing MEG-OH surfaces.
• Anti-fouling properties were maintained after Ni-NTA functionalization, allowing for specific protein binding.
• The novel surface linker proved effective in preventing fouling from complex biological samples like serum and milk.

Conclusions:

• MEG-Cl is a highly effective surface linker for biosensor applications, offering robust anti-fouling properties.
• The dual functionality of MEG-Cl, providing both anti-fouling and linking capabilities, makes it an attractive component for advanced biosensor development.
• This novel surface linker presents a promising solution for improving the reliability and performance of biosensors in real-world biological environments.