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Optical Fibers Functionalized with Single-Walled Carbon Nanotubes for Flexible Fluorescent Catecholamine Detection
Madeline E Klinger1, Rigney A Miller2, Natsumi Komatsu3
1Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720, United States.
Langmuir : the ACS Journal of Surfaces and Colloids
|April 14, 2025
Summary
Researchers developed novel near-infrared fluorescent sensors on optical fibers for detecting dopamine. This advancement offers a promising tool for convenient and less invasive catecholamine detection in clinical diagnostics.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Analytical Chemistry
Background:
- Catecholamine dynamics are crucial for human health and disease, but current detection methods are limited.
- Existing fluorescent sensors are primarily for animal models, hindering clinical diagnostic applications.
Purpose of the Study:
- To develop a novel fiber-optic based sensor for catecholamine detection with potential for clinical translation.
- To demonstrate the feasibility of near-infrared fluorescent catecholamine sensors (nIRCats) for dopamine detection.
Main Methods:
- Functionalization of optical fibers with single-walled carbon nanotube (SWNT)-based near-infrared catecholamine sensors (nIRCats).
- Testing sensor response to dopamine in biologically relevant concentrations (10 nM–1 μM).
- Assessing sensor stability in human blood plasma and long-term utility in biofluids.
- Development of a compact, mobile dual-near-infrared fiber photometry rig.
Main Results:
- nIRF fibers demonstrated sensitive dopamine detection within the 10 nM–1 μM range.
- Sensors maintained minimal responsivity loss after 16 hours in human blood plasma.
- Detection of dopamine was successful in small volumes (10 μL) of biofluids up to 24 weeks post-synthesis.
- The photometry rig successfully detected dopamine in acute brain slices.
Conclusions:
- Fiber-optic based nIRCats offer a promising platform for convenient and less invasive catecholamine detection.
- This technology expands the available tools for studying catecholamine dynamics in clinical settings.
- The developed system holds potential for improved diagnostics and research in neurological disorders.

