Self-Assembled Chemiluminescent Nanoprobes Based on α,α-Dicyanoolefins: Leveraging a Dioxetane "Funnel" for High-Contrast Inflammation Imaging

Abstract

Although peroxynitrite (ONOO-) chemiluminescence (CL) imaging offers near-zero background sensitivity for in vivo sensing, developing CL probes remains a formidable challenge due to the limited repertoire of chemiluminescent scaffolds and boronate-related cross-reactivity. Herein, we report the rational design of self-assembled chemiluminescent nanoprobes utilizing an α,α-dicyanoolefin scaffold. The optimal candidate, YMTPT-NPs, spontaneously forms stable nanoparticles in water and achieves orthogonal ONOO- specificity via its C=C bond of α,α-dicyanoolefin, eliminating H2O2 interference. Experimental and density functional theory (DFT) calculations elucidate that ONOO- attack forms a dioxetane intermediate, triggering sequential O–O cleavage to access an S1–S0 near-degenerate "funnel" and subsequent excited-state C–C cleavage. This mechanism efficiently channels chemical energy to drive robust intermolecular CRET within the confined nano-architecture. In a murine acute arthritis model, YMTPT-NPs exhibited an extended functional imaging window (>15 min) and a superior signal-to-background ratio (SBR = 31.38). This study establishes a robust supramolecular paradigm for constructing CL probes that combine practical signal duration, superior specificity, and red-shifted emission for precision in vivo imaging of inflammation.

Supplementary files

Article information

Article type
Edge Article
Submitted
25 Apr 2026
Accepted
22 May 2026
First published
28 May 2026
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY-NC license

Chem. Sci., 2026, Accepted Manuscript

Self-Assembled Chemiluminescent Nanoprobes Based on α,α-Dicyanoolefins: Leveraging a Dioxetane "Funnel" for High-Contrast Inflammation Imaging

L. Liu, M. Kai, W. Li, H. Liu, Y. Wang, J. Yang, P. Wang and W. Zhang, Chem. Sci., 2026, Accepted Manuscript , DOI: 10.1039/D6SC03467E

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