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A Facile Method for the Non-Covalent Amine Functionalization of Carbon-Based Surfaces for Use in Biosensor
Ffion Walters1, Muhammad Munem Ali1, Gregory Burwell2
1Centre for NanoHealth, College of Engineering, Swansea University, Swansea SA2 8PP, UK.
Nanomaterials (Basel, Switzerland)
|September 15, 2020
Summary
This study introduces a fast, non-covalent method using drop-cast 1,5-diaminonaphthalene (DAN) to functionalize graphene for biosensors. This technique preserves graphene
Area of Science:
- Materials Science
- Nanotechnology
- Biomedical Engineering
Background:
- Graphene's unique electrical properties are crucial for affinity biosensors (GFETs, resistors).
- Maintaining these properties during surface functionalization is critical for sensor performance.
- Non-covalent functionalization offers an advantage over covalent methods for preserving graphene's electrical characteristics.
Purpose of the Study:
- To investigate drop-cast 1,5-diaminonaphthalene (DAN) as a method for non-covalent amine functionalization of graphene.
- To assess the suitability of DAN functionalization for subsequent attachment of receptor molecules in biosensor development.
- To evaluate the robustness of the DAN functional layer under conditions relevant to biosensor manufacturing.
Main Methods:
- Non-covalent functionalization of graphene surfaces using drop-cast 1,5-diaminonaphthalene (DAN).
- Characterization of DAN-functionalized graphene using X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, and real-time resistance measurements.
- Assessment of receptor molecule attachment and functional layer stability through sequential solvent exposure tests.
Main Results:
- Successful non-covalent amine functionalization of graphene surfaces with DAN was achieved via a drop-casting method.
- Confirmation of successful modification and subsequent receptor molecule attachment using XPS, Raman spectroscopy, and resistance measurements.
- The DAN functional layer demonstrated robustness, remaining intact after multiple solvent wash steps.
Conclusions:
- Drop-cast DAN is a viable, rapid, and robust method for amine functionalization of graphene.
- This approach effectively prepares graphene surfaces for biosensor development while preserving electrical properties.
- The method's stability under washing conditions supports its application in biosensor manufacturing.

