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The biosensor utilizes a matrix-boosted MXene emitter and a proximity-dependent "off-on" strategy. This combination achieves near-total quenching efficiency, allowing it to detect extremely low concentrations of exosomes without enzymatic steps.
The system uses a support vector machine (SVM) algorithm to analyze complex sensing data. Consequently, it can automatically identify and discriminate between different exosome phenotypes derived from various cancer cell lines.
Disclaimer: This content is for informational and educational purposes only. It does not constitute medical advice or a professional recommendation. Refer to the latest local and national guidelines for clinical practice.
References
Shi Y et al. Matrix-Boosted Electrochemiluminescence Biosensor for Ultrasensitive Exosome Detection and Automated Phenotype Discrimination. ACS Sens. 2026 May 28. doi: 10.1021/acssensors.6c01482. PMID: 42206473.
Díaz-Fernández A et al. Recent advances in electrochemical biosensors for exosome detection. Frontiers in Chemistry. 2024.
Huang R et al. MXene-based platforms for cancer biomarker detection. Trends in Analytical Chemistry. 2023.
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