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ClO<sup>–</sup> Induced Dual-Excitation Fluorescent Probes Responding to Diverse Testing Modes with Ratio Methodology

Yan Zhao, Xinquan Yu, Xiao Liu, Dailiang Zhang, He Li, Hanlin Zhou, Weiheng Kong, Fengli Qu

2023Analytical Chemistry14 citationsDOI

Abstract

Single-excitation ratio fluorescent probes have enabled the output signal with high signal-to-noise ratio, but are still plagued with technique challenges, including signal distortion and limited application scenario. Herein, a dual-excitation near-infrared (NIR) fluorescent probe P1 of coumarin derivatives is constructed, showing high signal output ability in the visible region and high tissue penetration depth ability in the NIR region. As NIR probe P1 selectively recognizes ClO –, the emission signal in the visible region (480 nm) of P1 is enhanced during the recognition process. Meanwhile, the NIR emission (830 nm) of the conjugated system is weakened, finally realizing that ClO – triggered the dual-excitation (720/400 nm) ratio fluorescence signal detection and monitoring. The signal of detection in vitro has high responsiveness. Meanwhile, in the process of NIR monitoring in vivo, positive contrast imaging of fluorescence is constructed, which can accurately monitor ClO – changes over time. The current dual-excitation fluorescence-based data calibration and/or comparison method improves the application of the traditional single-excitation ratio fluorescence strategy and provide innovative detection tools for accurate measurement of fluorescence detection, with detection/monitoring modes suitable for different physiological environments.

Topics & Concepts

FluorescenceChemistryExcitationSIGNAL (programming language)Near-infrared spectroscopyDetection limitSignal-to-noise ratio (imaging)Distortion (music)CalibrationAnalytical Chemistry (journal)OptoelectronicsOpticsMaterials scienceChromatographyAmplifierPhysicsComputer scienceCMOSQuantum mechanicsProgramming languageLuminescence and Fluorescent MaterialsMolecular Sensors and Ion DetectionNanoplatforms for cancer theranostics
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