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• W4376620147 endingPage "341358" @default.
• W4376620147 startingPage "341358" @default.
• W4376620147 abstract "Mercury is a highly toxic heavy metal pollutant. Mercury and its derivatives pose serious threats to the environment and the health of organisms. Numerous reports have indicated that Hg2+ exposure induces a burst of oxidative stress in organisms, causing severe damage to the health of the organism. A large number of reactive oxygen species (ROS) and reactive nitrogen species (RNS) are produced under conditions of oxidative stress, and superoxide anions (O2-) and NO radicals react rapidly with each other to produce peroxynitrite (ONOO-), an important downstream product. Therefore, developing an efficient and highly responsive screening method to monitor the fluctuations of Hg2+ and ONOO- levels is particularly important. In this work, we designed and synthesized a highly sensitive and highly specific near-infrared probe W-2a, which can effectively detect and distinguish Hg2+ and ONOO- through fluorescence imaging. In addition, we developed a WeChat mini-program called Colorimetric acquisition and built an intelligent detection platform to assess the environmental hazards of Hg2+ and ONOO-. The probe can detect Hg2+ and ONOO- in the body through dual signaling, as evidenced by cell imaging, and has successfully monitored fluctuations in the ONOO- levels in inflamed mice. In conclusion, the W-2a probe provides a highly efficient and reliable method for assessing oxidative stress-induced changes in the ONOO- levels in the body." @default.
• W4376620147 created "2023-05-17" @default.
• W4376620147 creator A5049074937 @default.
• W4376620147 creator A5058010200 @default.
• W4376620147 creator A5073873121 @default.
• W4376620147 date "2023-07-01" @default.
• W4376620147 modified "2023-10-16" @default.
• W4376620147 title "Intelligent detection strategy and bioimaging application of dual-responsive Hg2+ and ONOO− using near-infrared probes" @default.
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• W4376620147 doi "https://doi.org/10.1016/j.aca.2023.341358" @default.
• W4376620147 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37244665" @default.
• W4376620147 hasPublicationYear "2023" @default.
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