SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin

Area of Science:

• Neuroscience
• Biomedical Engineering
• Analytical Chemistry

Background:

• Dynamic monitoring of serotonin in brain regions is crucial for diagnosing and treating neurological and psychiatric disorders.
• Current serotonin measurement techniques are not immediate, portable, or cost-effective, hindering clinical applications.
• There is a need for advanced, miniaturized devices for real-time in vivo neurotransmitter analysis.

Purpose of the Study:

• To develop and validate a miniaturized device, SmartFSCV, for real-time dynamic monitoring of serotonin.
• To assess the device's performance in sensing serotonin using fast-scan cyclic voltammetry (FSCV).
• To integrate artificial intelligence (AI) for enhanced data analysis and decision-making regarding serotonin presence.

Main Methods:

• Development of SmartFSCV, a miniaturized device employing fast-scan cyclic voltammetry (FSCV).
• The device operates within a -3 to +3 V potential range and measures current with nano-ampere accuracy.
• Utilized a specific N-shaped waveform at 1000 V/s for serotonin sensing, with modifiable arbitrary waveform capabilities.

Main Results:

• Validation through static bench testing and dynamic serotonin level monitoring.
• Successful application of artificial intelligence (AI) algorithms for data interpretation.
• Demonstrated the device's capability to accurately sense serotonin and inform decisions.

Conclusions:

• SmartFSCV successfully and accurately senses serotonin in real-time.
• The integration of AI algorithms enhances the device's ability to make informed decisions about serotonin presence.
• This technology holds promise for improving diagnostic and therapeutic strategies for brain disorders.