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Recent Developments in Nanosensors for Imaging Applications in Biological Systems
Guoxin Rong1, Erin E Tuttle2, Ashlyn Neal Reilly1
1Department of Bioengineering, Northeastern University, Boston, Massachusetts 02115, USA;
Annual Review of Analytical Chemistry (Palo Alto, Calif.)
|March 13, 2019
Summary
Nanosensors offer unique insights into biological processes by monitoring biomolecules and biofunctions. This review highlights advances in imaging-based nanosensors utilizing fluorescence, plasmonics, MRI, and photoacoustics for enhanced biological monitoring.
Area of Science:
- Biomedical Engineering
- Materials Science
- Nanotechnology
Background:
- Sensors are crucial for understanding biological processes by tracking dynamic changes in biomolecules and biofunctions.
- Nanomaterials, with their unique size-dependent properties, are increasingly utilized in biological sensing.
- Real-time monitoring of physiological parameters is essential for biological research.
Purpose of the Study:
- To review recent advancements in imaging-based nanosensor development.
- To categorize nanosensors based on their signal transduction mechanisms.
- To explore the applications of multimodal nanosensors in biological sensing.
Main Methods:
- Review of recent literature on imaging-based nanosensors.
- Categorization of nanosensors by signal transduction mechanisms: fluorescence, plasmonics, MRI, and photoacoustics.
- Discussion of multimodal nanosensor strategies.
Main Results:
- Nanosensors provide unique insights into real-time biological changes.
- Diverse signal transduction mechanisms (fluorescence, plasmonics, MRI, photoacoustics) enable various sensing applications.
- Multimodal nanosensors offer synergistic advantages by combining multiple detection principles.
Conclusions:
- Imaging-based nanosensors are powerful tools for monitoring biological systems.
- Advances in signal transduction mechanisms are expanding the capabilities of nanosensors.
- Multimodal nanosensors represent a promising direction for sophisticated biological monitoring and diagnostics.
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