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Denaturing for Nanoarchitectonics: Local and Periodic UV-Laser Photodeactivation of Protein Biolayers to Create
Augusto Juste-Dolz1, Martina Delgado-Pinar2, Miquel Avella-Oliver1,3
1Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, 46022 Valencia, Spain.
ACS Applied Materials & Interfaces
|September 1, 2022
Summary
This study introduces a UV-laser method for creating protein activity patterns on biolayers for biosensing. This technique offers a fast, cost-effective way to produce homogeneous protein patterns for diffractive biosensing applications.
Area of Science:
- Biophysics
- Materials Science
- Nanotechnology
Background:
- Nanostructured biolayers are crucial for biosensing and biomedical applications.
- Exploiting nanoscale light-matter interactions is key for advanced biosensor development.
Purpose of the Study:
- To present a novel photopatterning method for creating periodic protein activity structures.
- To investigate the fabrication and characterization of these protein nanostructures.
- To assess the utility of these patterns as transducers for diffractive biosensing.
Main Methods:
- Utilizing UV-laser irradiation for local, periodic mild denaturation of protein biolayers.
- Fabricating homogeneous one-dimensional protein patterns over large areas.
- Implementing protein patterns in a model immunoassay for diffractive biosensing.
Main Results:
- Achieved homogeneous protein patterns with modulated activity, free of topographic/compositional changes.
- Demonstrated a fast (2 min), cost-effective method for large-area patterning (15 x 1.2 mm).
- Obtained comparable limits of detection in buffer and human serum for unlabeled IgG (53 and 36 ng·mL⁻¹, respectively) with negligible non-specific binding.
Conclusions:
- UV-based photopatterning is an effective method for creating functional protein nanostructures.
- These protein patterns serve as efficient transducers for diffractive biosensing.
- The method shows promise for sensitive and specific biomolecule detection in complex biological samples.
