化学
体内
红外线的
化学稳定性
理论(学习稳定性)
纳米技术
组合化学
有机化学
光学
计算机科学
生物
机器学习
物理
生物技术
材料科学
作者
Dan Cheng,Juanjuan Peng,Yun Lv,Dongdong Su,Dongjie� Liu,Mei Chen,Lin Yuan,Xiaobing Zhang
摘要
Near-infrared (NIR) fluorescence imaging technique is garnering increasing research attention due to various advantages. However, most NIR fluorescent probes still suffer from a false signals problem owing to their instability in real application. Especially in a pathological environment, many NIR probes can be easily destroyed due to the excessive generation of highly reactive species and causing a distorted false signal. Herein, we proposed an approach for developing a new stable NIR dye platform with an optically tunable group to eliminate false signals using the combination of dyes screening and rational design strategy. The conception is validated by the construction of two high-fidelity NIR fluorescent probes (NIR-LAP and NIR-ONOO-) sensing leucine aminopeptidase (LAP) and peroxynitrite (ONOO-), the markers of hepatotoxicity. These probes (NIR-LAP and NIR-ONOO-) were demonstrated to sensitively and accurately monitor LAP and ONOO- (detection limit: 80 mU/L for LAP and 90 nM for ONOO-), thereby allowing one to precisely evaluate drug-induced hepatotoxicity. In addition, based on the fluctuation of LAP, the therapeutic efficacy of six hepatoprotective medicines for acetaminophen-induced hepatotoxicity was analyzed in vivo. We anticipate the high-fidelity NIR dye platform with an optically tunable group could provide a convenient and efficient tool for the development of future probes applied in the pathological environment.
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