A Self-Accelerating Naphthalimide-Based Probe Coupled with Upconversion Nanoparticles for Ultra-Accurate Tri-Mode Visualization of Hydrogen Peroxide

A Self-Accelerating Naphthalimide-Based Probe Coupled with Upconversion Nanoparticles for Ultra-Accurate Tri-Mode Visualization of Hydrogen Peroxide

2024 | Yanan Feng, Da Lei, Baiyi Zu, Jiguang Li, Yajuan Li, and Xincun Dou
The paper presents a self-accelerating naphthalimide-based probe designed for ultra-accurate detection of hydrogen peroxide (H₂O₂) in complex environments. The probe, named B-R-COOH, features a boronate ester recognition site and a carboxylic acid group (-COOH) as a promotion site. By coupling this probe with upconversion nanoparticles (UCNPs), a tri-mode visualization platform is constructed, enabling colorimetric, fluorescent, and upconversion luminescence (UCL) detection. This platform demonstrates rapid response (<1 second), an ultra-low detection limit (4.34 nM), and strong anti-interference capabilities, even in the presence of various oxidants, explosives, metallic salts, and fluorescent substances. The effectiveness of the design is further validated through a sponge-based sensing chip that can recognize trace H₂O₂ vapor from interferents, using three characteristic colors. The proposed tri-mode visualization detection platform offers a promising methodology for ultra-accurate sensing of H₂O₂.The paper presents a self-accelerating naphthalimide-based probe designed for ultra-accurate detection of hydrogen peroxide (H₂O₂) in complex environments. The probe, named B-R-COOH, features a boronate ester recognition site and a carboxylic acid group (-COOH) as a promotion site. By coupling this probe with upconversion nanoparticles (UCNPs), a tri-mode visualization platform is constructed, enabling colorimetric, fluorescent, and upconversion luminescence (UCL) detection. This platform demonstrates rapid response (<1 second), an ultra-low detection limit (4.34 nM), and strong anti-interference capabilities, even in the presence of various oxidants, explosives, metallic salts, and fluorescent substances. The effectiveness of the design is further validated through a sponge-based sensing chip that can recognize trace H₂O₂ vapor from interferents, using three characteristic colors. The proposed tri-mode visualization detection platform offers a promising methodology for ultra-accurate sensing of H₂O₂.
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[slides and audio] A Self%E2%80%90Accelerating Naphthalimide%E2%80%90Based Probe Coupled with Upconversion Nanoparticles for Ultra%E2%80%90Accurate Tri%E2%80%90Mode Visualization of Hydrogen Peroxide