Expression of Concern: Enhanced surface plasmon resonance biosensor with graphene-black phosphorus heterostructure for ultra-high sensitivity refractive index detection with machine learning for behaviour prediction

Key Points

• This research focuses on creating a highly sensitive biosensor using a unique material combination to detect small changes in refractive index.
• Utilized a graphene-black phosphorus heterostructure.
• Employed surface plasmon resonance technology.
• Incorporated machine learning algorithms for behavior prediction.
• Achieved ultra-high sensitivity in refractive index detection.
• Machine learning showed potential for improved predictive analysis.