Energy Gap Law-Harnessing Design of Highly Second Near-Infrared Emissive 34π-Annulated Porphyrinoids for In Vivo Imaging

NIR-II fluorophores (1000-1700 nm) are pivotal for biomedical imaging, offering deep-tissue penetration and high signal-to-noise ratios but suffer from low quantum yields (QY < 0.01%) beyond 1200 nm. To date, most reported NIR-II small-molecule dyes are derived from polymethine and xanthene frameworks. However, achieving NIR-II chromophores with sufficient QYs remains challenging, as the energy gap law dictates that internal conversion-governed by the emission energy gap and reorganization energy-dominates nonradiative decay. To address this, we designed a novel pseudo-2D molecular framework: 34 π-electron annulated porphyrinoids (Scheme 1), engineered to minimize reorganization energy. These structures achieve emission wavelengths up to 1290 nm with QYs of 1.10-6.14%. Density functional theory (DFT) calculations were performed to unravel the photophysical mechanisms underlying these behaviors, showing that the reorganization energy is as small as 10.5 meV for these dyes, which validates our design. The optimized molecular structures and the stacking geometry of these porphyrinoids in the nanoparticle form were also elaborated by DFT. The intense NIR-II fluorescence (>1200 nm) enables high-resolution in vivo vascular imaging, further enhanced by AI-driven imaging algorithms to significantly improve image quality.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-06-11
DOI
https://doi.org/10.1021/jacs.5c05151
Citations
4
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
2.70

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article

Energy Gap Law-Harnessing Design of Highly Second Near-Infrared Emissive 34π-Annulated Porphyrinoids for In Vivo Imaging

Syue-Liang Lin, Ming‐Hsien Chan, Wei Tong Chen, Yan-Chang Chen et al.
4 citations
Journal of the American Chemical Society
Nanoplatforms for cancer theranostics
2.70
article

Energy Gap Law-Harnessing Design of Highly Second Near-Infrared Emissive 34π-Annulated Porphyrinoids for In Vivo Imaging

Syue-Liang Lin, Ming‐Hsien Chan, Wei Tong Chen, Yan-Chang Chen, Yang‐Hsiang Chan, Ričardas Rotomskis, Peng Lin, Ja‐an Annie Ho, Yu‐Fen Huang, Chan Kk, Simona Steponkienė, Chao‐Ping Hsu, Tung‐Kung Wu, Hsiu‐Feng Lu
article en
4 citations

Abstract

NIR-II fluorophores (1000-1700 nm) are pivotal for biomedical imaging, offering deep-tissue penetration and high signal-to-noise ratios but suffer from low quantum yields (QY < 0.01%) beyond 1200 nm. To date, most reported NIR-II small-molecule dyes are derived from polymethine and xanthene frameworks. However, achieving NIR-II chromophores with sufficient QYs remains challenging, as the energy gap law dictates that internal conversion-governed by the emission energy gap and reorganization energy-dominates nonradiative decay. To address this, we designed a novel pseudo-2D molecular framework: 34 π-electron annulated porphyrinoids (Scheme 1), engineered to minimize reorganization energy. These structures achieve emission wavelengths up to 1290 nm with QYs of 1.10-6.14%. Density functional theory (DFT) calculations were performed to unravel the photophysical mechanisms underlying these behaviors, showing that the reorganization energy is as small as 10.5 meV for these dyes, which validates our design. The optimized molecular structures and the stacking geometry of these porphyrinoids in the nanoparticle form were also elaborated by DFT. The intense NIR-II fluorescence (>1200 nm) enables high-resolution in vivo vascular imaging, further enhanced by AI-driven imaging algorithms to significantly improve image quality.

Journal of the American Chemical SocietyVol. 147(25)
National Yang Ming Chiao Tung University (TW), Kaohsiung Medical University (TW), National Taiwan University (TW), National Tsing Hua University (TW), Bioscience (China) (CN), National Center for Theoretical Sciences (TW), RIKEN Center for Emergent Matter Science (JP), National Cancer Institute (LT), Institute of Chemistry, Academia Sinica (TW), Academia Sinica (TW)
Academia Sinica, Lietuvos Mokslo Taryba, National Science and Technology Council
Openalex Percentile: Top 10%
Nanoplatforms for cancer theranostics
2.70
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