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原位有序自组装策略提供近红外二区 J-聚集用于体内成像和手术导航。

In situ orderly self-assembly strategy affording NIR-II-J-aggregates for in vivo imaging and surgical navigation.

机构信息

State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.

出版信息

Nat Commun. 2023 Apr 3;14(1):1843. doi: 10.1038/s41467-023-37586-7.

Abstract

J-aggregation, an effective strategy to extend wavelength, has been considered as a promising method for constructing NIR-II fluorophores. However, due to weak intermolecular interactions, conventional J-aggregates are easily decomposed into monomers in the biological environment. Although adding external carriers could help conventional J-aggregates stabilize, such methods still suffer from high-concentration dependence and are unsuitable for activatable probes design. Besides, these carriers-assisted nanoparticles are risky of disassembly in lipophilic environment. Herein, by fusing the precipitated dye (HPQ) which has orderly self-assembly structure, onto simple hemi-cyanine conjugated system, we construct a series of activatable, high-stability NIR-II-J-aggregates which overcome conventional J-aggregates carrier's dependence and could in situ self-assembly in vivo. Further, we employ the NIR-II-J-aggregates probe HPQ-Zzh-B to achieve the long-term in situ imaging of tumor and precise tumor resection by NIR-II imaging navigation for reducing lung metastasis. We believe this strategy will advance the development of controllable NIR-II-J-aggregates and precise bioimaging in vivo.

摘要

J-聚集是一种有效的波长延伸策略,被认为是构建近红外二区(NIR-II)荧光团的一种很有前途的方法。然而,由于分子间相互作用较弱,传统的 J-聚集物在生物环境中容易分解为单体。虽然添加外部载体可以帮助传统的 J-聚集物稳定,但这些方法仍然存在高浓度依赖性的问题,不适合设计可激活的探针。此外,这些载体辅助的纳米粒子在亲脂性环境中容易解体。在这里,我们通过将具有有序自组装结构的沉淀染料(HPQ)融合到简单的半菁共轭体系上,构建了一系列可激活、高稳定性的 NIR-II-J-聚集物,克服了传统 J-聚集物对载体的依赖性,并可以在体内原位自组装。此外,我们使用 NIR-II-J-聚集物探针 HPQ-Zzh-B 实现了肿瘤的长期原位成像,并通过 NIR-II 成像导航进行精确肿瘤切除,以减少肺转移。我们相信,这种策略将推动可控 NIR-II-J-聚集物和精确体内生物成像的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06a6/10070396/fa1e427da737/41467_2023_37586_Fig1_HTML.jpg

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