Integrated Biomarker Separation and Detection with Carbon Nanotubes: Advances and Prospects

Area of Science:

• Nanotechnology
• Biomedical Engineering
• Analytical Chemistry

Background:

• Biomarkers are crucial for diagnosing diseases and guiding personalized treatments.
• Detecting low biomarker concentrations in complex samples is challenging.
• Carbon nanotubes (CNTs) show potential for biomarker separation and sensing.

Purpose of the Study:

• To review the integration of CNTs for simultaneous biomarker separation and detection.
• To highlight the advantages of CNT-based platforms for rapid diagnostics.
• To explore the role of microfluidics and AI in enhancing CNT applications.

Main Methods:

• Review of literature on CNTs in separation and detection techniques.
• Discussion of CNT functionalization and integration with microfluidic systems.
• Analysis of AI applications for data processing and CNT synthesis.

Main Results:

• CNTs enable unified separation and detection platforms, reducing pre-processing time.
• High-precision biomarker detection within 30 minutes is achievable.
• Integration with microfluidics and AI streamlines processes and enhances capabilities.

Conclusions:

• CNT-based systems offer efficient, scalable, and clinically applicable solutions for biomarker analysis.
• These platforms advance point-of-care testing (POCT) and precision medicine.
• Future developments focus on portable diagnostic devices for widespread clinical use.