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Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes
Published on: January 10, 2017
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Fluorescent Single-Walled Carbon Nanotubes for Protein Detection
Adi Hendler-Neumark1, Gili Bisker1
1Department of Biomedical Engineering, Faculty of Engineering, Tel-Aviv University, Tel Aviv 6997801, Israel.
Sensors (Basel, Switzerland)
|December 11, 2019
Summary
Single-walled carbon nanotubes (SWCNTs) offer unique near-infrared fluorescence for biomedical sensing. Functionalized SWCNTs demonstrate versatile protein recognition from single molecules to whole animals.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Molecular Recognition
Background:
- Nanosensors are crucial for molecular recognition in imaging, drug delivery, and phototherapy.
- Fluorescent nanoparticles serve as optical reporters due to their emission signals.
- Single-walled carbon nanotubes (SWCNTs) exhibit near-infrared fluorescence, transparency in biological samples, and resistance to photobleaching.
Purpose of the Study:
- To review advancements in protein recognition using SWCNTs.
- To highlight the benefits of SWCNT-based sensors for various biomedical applications.
- To discuss the versatile applicability of SWCNT sensors across different scales.
Main Methods:
- Functionalization of SWCNTs with natural recognition moieties.
- Functionalization of SWCNTs with synthetic heteropolymers.
- Review of studies employing SWCNTs for protein recognition.
Main Results:
- SWCNTs functionalized with natural or synthetic moieties enable effective protein recognition.
- SWCNT sensors demonstrate applicability from single-molecule detection to in-vivo sensing in animal models.
- Unique optical properties and biocompatibility of SWCNTs are key advantages.
Conclusions:
- SWCNT-based nanosensors represent a promising technology for advanced molecular recognition in biomedicine.
- The versatility of SWCNT sensors spans diverse applications, from fundamental research to in-vivo diagnostics.
- Future research should address challenges and explore new opportunities in SWCNT-based biosensing.
