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用于高分辨率生物成像和肿瘤检测的高亮近红外 I/近红外 II 纳米荧光团的分子工程。

Molecular Engineering of Bright NIR-I/NIR-II Nanofluorophores for High-Resolution Bioimaging and Tumor Detection .

机构信息

School of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University, Nantong 226019, Jiangsu, China.

Department of Chemistry & State Key Laboratory of Molecular Engineering of Polymers & Academy for Engineering and Technology, Fudan University, Shanghai 200433, China.

出版信息

Nano Lett. 2024 Feb 7;24(5):1792-1800. doi: 10.1021/acs.nanolett.3c04976. Epub 2024 Jan 26.

Abstract

A comprehensive approach for the construction of NIR-I/NIR-II nanofluorophores with exceptional brightness and excellent chemo- and photostability has been developed. This study first confirmed that the amphiphilic molecules with stronger hydrophobic moieties and weaker hydrophilic moieties are superior candidates for constructing brighter nanofluorophores, which are attributed to its higher efficiency in suppressing the intramolecular charge transfer/aggregation-caused fluorescence quenching of donor-acceptor-donor type fluorophores. The prepared nanofluorophore demonstrates a fluorescence quantum yield exceeding 4.5% in aqueous solution and exhibits a strong NIR-II tail emission up to 1300 nm. The superior performance of the nanofluorophore enabled the achievement of high-resolution whole-body vessel imaging and brain vessel imaging, as well as high-contrast fluorescence imaging of the lymphatic system . Furthermore, their potential for highly sensitive fluorescence detection of tiny tumors has been successfully confirmed, thus supporting their future applications in precise fluorescence imaging-guided surgery in the early stages of cancer.

摘要

已开发出一种综合方法,用于构建具有卓越亮度和出色化学和光稳定性的近红外-I/近红外-II 纳米荧光团。本研究首先证实,具有更强疏水性部分和更弱亲水性部分的两亲分子是构建更亮纳米荧光团的更佳候选物,这归因于其更高效率地抑制供体-受体-供体型荧光团的分子内电荷转移/聚集引起的荧光猝灭。所制备的纳米荧光团在水溶液中的荧光量子产率超过 4.5%,并表现出高达 1300nm 的强近红外-II 尾部发射。纳米荧光团的卓越性能使得实现高分辨率全身血管成像和脑血管成像,以及淋巴管系统的高对比度荧光成像成为可能。此外,已经成功证实了它们对微小肿瘤进行高灵敏度荧光检测的潜力,从而支持它们在癌症早期进行精确荧光成像引导手术中的未来应用。

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