Biomolecular logic systems: applications to biosensors and bioactuators

Evgeny Katz

doi:10.1117/12.2049959

22 May 2014 Biomolecular logic systems: applications to biosensors and bioactuators

Evgeny Katz

Proceedings Volume 9107, Smart Biomedical and Physiological Sensor Technology XI; 91070Z (2014) https://doi.org/10.1117/12.2049959
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The paper presents an overview of recent advances in biosensors and bioactuators based on the biocomputing concept. Novel biosensors digitally process multiple biochemical signals through Boolean logic networks of coupled biomolecular reactions and produce output in the form of YES/NO response. Compared to traditional single-analyte sensing devices, biocomputing approach enables a high-fidelity multi-analyte biosensing, particularly beneficial for biomedical applications. Multi-signal digital biosensors thus promise advances in rapid diagnosis and treatment of diseases by processing complex patterns of physiological biomarkers. Specifically, they can provide timely detection and alert to medical emergencies, along with an immediate therapeutic intervention. Application of the biocomputing concept has been successfully demonstrated for systems performing logic analysis of biomarkers corresponding to different injuries, particularly exemplified for liver injury. Wide-ranging applications of multi-analyte digital biosensors in medicine, environmental monitoring and homeland security are anticipated. “Smart” bioactuators, for example for signal-triggered drug release, were designed by interfacing switchable electrodes and biocomputing systems. Integration of novel biosensing and bioactuating systems with the biomolecular information processing systems keeps promise for further scientific advances and numerous practical applications.

Citation Download Citation

Evgeny Katz "Biomolecular logic systems: applications to biosensors and bioactuators", Proc. SPIE 9107, Smart Biomedical and Physiological Sensor Technology XI, 91070Z (22 May 2014); https://doi.org/10.1117/12.2049959

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KEYWORDS

Logic

Signal processing

Biological research

Biosensors

Chemical analysis

Electrodes

Biomedical optics

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