Ilaria Sorrentino's research dataset describes a "one pot" approach to functionalize few-layer graphene using a chimeric laccase-hydrophobin enzyme. The biofunctionalized material was characterized by electrochemistry and Raman spectroscopy and employed in the biosensing of phenols like catechol and dopamine. The dataset is published on Papers with Code under an Open Access license.
Use Cases
- Training models for electrochemical signal prediction based on graphene functionalization methods.
- Analyzing the performance of chimeric enzymes in nanomaterial biosensing applications.
- Developing biosensors for phenol detection based on the described biofunctionalized few-layer graphene.
Strengths
- Dataset is associated with a peer-reviewed scientific methodology for graphene functionalization.
- Focuses on a specific application in electrochemical biosensing of phenols.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Ilaria Sorrentino via Papers with Code
- Collection Method
- Experimental research involving enzyme fusion, graphene exfoliation, and electrochemical characterization.