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Two-photon fluorescent Bombyx mori silk by molecular recognition functionalization.
Naibo Lin1, Guoyang William Toh, Yan Feng
1College of Material Science and Engineering & State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University, Shanghai, 201620, China. phyliuxy@nus.edu.sg hongyaoxu@dhu.edu.cn.
Functionalizing silkworm silk fibers with a nitrofluorene derivative enhances two-photon fluorescence (TPF) quantum yield by 350% through molecular recognition, enabling high-quality bioimaging.
Area of Science:
- Biomaterials Science
- Fluorescence Imaging
- Molecular Engineering
Background:
- Two-photon fluorescence (TPF) microscopy offers advantages for deep tissue imaging.
- Silkworm silk fibroin is a biocompatible material with potential for bioimaging scaffolds.
- Functionalizing silk fibers can enhance their optical properties for advanced applications.
Purpose of the Study:
- To functionalize Bombyx mori silk fibers with a nitrofluorene derivative for enhanced TPF bioimaging.
- To investigate the role of molecular recognition in improving TPF quantum yield.
- To develop TPF silk scaffolds for high-quality cellular imaging.
Main Methods:
- Silk fibroin fibers were functionalized using 2,7-bis((E)-4-((E)-4-nitrostyryl)styryl)-9,9-dioctyl-9H-fluorene (NF).
- TPF quantum yield was measured and compared between functionalized silk and solid-state NF.
- Comparative studies were conducted using non-recognizing molecules (MF1, MF2).
- TPF silk scaffolds were fabricated and utilized for cell imaging.
Main Results:
- NF functionalization significantly enhanced TPF quantum yield by 350% due to molecular recognition with silk fibroin.
- Non-functionalized silk or silk with non-recognizing molecules showed minimal TPF enhancement.
- High-quality TPF imaging of NF within cell cultures was successfully achieved using the developed silk scaffolds.
Conclusions:
- Molecular recognition between NF and silk fibroin is crucial for boosting TPF quantum yield.
- TPF-functionalized silk fibers serve as effective scaffolds for advanced bioimaging.
- This approach holds significant promise for biomedical applications requiring high-resolution cellular imaging.
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