Paving the way towards continuous biosensing by implementing affinity-based nanoswitches on state-dependent readout
Annelies Dillen1, Jeroen Lammertyn1
1KU Leuven, Department of Biosystems - Biosensors Group, Willem de Croylaan 42, Box 2428, 3001, Leuven, Belgium. jeroen.lammertyn@kuleuven.be.
Continuous biosensing offers real-time biochemical analysis, overcoming batch limitations. This review explores affinity-based nanoswitches and readout platforms for achieving continuous measurements in research and diagnostics.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Nanotechnology
Background:
- Continuous biosensors are crucial for real-time monitoring in research, diagnostics, and industry.
- Existing biosensors often rely on batch processing, limiting their utility for continuous measurements.
- Recent advancements enable continuous biosensing by integrating affinity-based nanoswitches with state-dependent readout platforms.
Purpose of the Study:
- To provide a comprehensive overview of affinity-based continuous biosensing.
- To discuss the essential components required for continuous biosensing systems.
- To review current strategies and future opportunities in the field.
Main Methods:
- Summarizing strategies for developing protein and nucleic acid-based nanoswitches.
- Reviewing readout strategies compatible with nanoswitches for continuous monitoring.
- Analyzing integrated biosensor systems that enable real-time measurements.
Main Results:
- Demonstration of how affinity-based nanoswitches and readout platforms overcome batch processing limitations.
- Identification of diverse approaches for designing molecular switches (protein and nucleic acid-based).
- Compilation of biosensors successfully implemented for continuous measurements.
Conclusions:
- Affinity-based continuous biosensing is achievable by combining nanoswitches and readout platforms.
- The review highlights challenges and opportunities for advancing continuous biosensing technologies.
- This work aims to guide and stimulate future research in real-time biosensing.
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