研究论文

19F NMR化学位移编码的cRGD靶向双模态探针多色成像

  • 李娜 ,
  • 肖龙 ,
  • 李莎 ,
  • 刘昱墩 ,
  • 贾宇舒 ,
  • 张磊 ,
  • 陈世桢
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  • 1 磁共振波谱与成像全国重点实验室武汉磁共振中心,中国科学院精密测量科学与技术创新研究院湖北 武汉 430071
    2 中国科学院大学北京 100049
第一联系人:#共同第一作者

收稿日期: 2025-11-05

  网络出版日期: 2026-08-11

基金资助

国家自然科学基金项目(U21A20392);国家自然科学基金项目(82127802);国家自然科学基金项目(22404064);国家自然科学基金项目(82102125);湖北省自然科学基金项目(2023BCB092);中国科学院青年跨学科团队项目(JCTD-2022-13)

19F NMR Chemical Shift-encoded cRGD-targeted Dual-modal Probe for Multicolor Imaging

  • LI Na ,
  • XIAO Long ,
  • LI Sha ,
  • LIU Yudun ,
  • JIA Yushu ,
  • ZHANG Lei ,
  • CHEN Shizhen
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  • 1 State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2025-11-05

  Online published: 2026-08-11

摘要

肿瘤微环境特异性成像对癌症的精准诊断至关重要,传统单模态成像技术难以兼顾高灵敏度与高空间分辨率. 本研究设计并合成了一种cRGD肽靶向、硝基还原酶(NTR)响应的半花菁-19F双模态探针Cy-F-cRGD. 通过系统筛选不同含氟基团,发现邻位双氟结构可产生显著的19F化学位移变化(ΔδF = 10.87). NTR响应后半花菁单元的紫外吸收红移80 nm,荧光强度增强约90倍,实现了光学信号的“关-开”切换. 本研究为发展智能响应型多模态探针提供了新的设计策略.

本文引用格式

李娜 , 肖龙 , 李莎 , 刘昱墩 , 贾宇舒 , 张磊 , 陈世桢 . 19F NMR化学位移编码的cRGD靶向双模态探针多色成像[J]. 波谱学杂志, 2026 , 43(3) : 279 -290 . DOI: 10.11938/cjmr20253189

Abstract

Specific imaging of the tumor microenvironment is critical for precise cancer diagnosis, yet conventional single-modal imaging techniques struggle to combine high sensitivity with high spatial resolution. This study designed and synthesized a cRGD peptide-targeted, nitroreductase (NTR)-responsive hemicyanine-19F dual-modal probe, Cy-F-cRGD. Through systematic screening of different fluorine-containing groups, we found that an ortho-difluoro structure induced a remarkable 19F chemical shift change (ΔδF = 10.87). Concurrently, the hemicyanine unit exhibited an 80 nm red shift in absorption and a 90-fold fluorescence enhancement, achieving an optical “off-on” signal switch. This work offers a new design strategy for developing smart responsive multimodal probes.

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