Search for improved triplet-state quenchers for fluorescence imaging: a computational framework incorporating excited-state Baird-aromaticity

Fluorescence imaging is crucial for studying biology. Triplet state quenchers (TSQs), especially cyclooctatetraene (COT), can dramatically improve fluorophore performance, particularly when linked intramolecularly so as to enable "self-healing". Leveraging knowledge revealed through investigations of the self-healing mechanism enabled by COT, we computationally screened for cyclic 8π-electron species, and their annulated derivatives, with efficient triplet-triplet energy transfer potential, high photostability, and strong spin-orbit coupling (SOC) between the lowest triplet state to the singlet ground state. Here, we report theory-based analyses of a broad array of candidates that demonstrate various extents of triplet state Baird-aromaticity, indicating self-healing potential. We identify specific candidates with 7-membered ring structures predicted to exhibit favorable enhancements in fluorophore performance spanning the visible spectrum, with several possessing estimated intersystem crossing (ISC) rates up to 4 × 10<sup>6</sup> times faster than that of COT, the current benchmark for the self-healing strategy.

Authors

Institutions

Publication Details

Journal
Chemical Science
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sc01131k
Citations
5
Primary Topic
Synthesis and Properties of Aromatic Compounds
Type
article
Field-Weighted Citation Impact
4.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Search for improved triplet-state quenchers for fluorescence imaging: a computational framework incorporating excited-state Baird-aromaticity

Ouissam El Bakouri, Scott C. Blanchard, Matthew A. Johnson, Joshua R. Smith et al.
5 citations
Chemical Science
Synthesis and Properties of Aromatic Compounds
4.68
article

Search for improved triplet-state quenchers for fluorescence imaging: a computational framework incorporating excited-state Baird-aromaticity

Ouissam El Bakouri, Scott C. Blanchard, Matthew A. Johnson, Joshua R. Smith, Avik Kumar Pati, Henrik Ottosson, Maxwell I. Martin
article en
5 citations

Abstract

Fluorescence imaging is crucial for studying biology. Triplet state quenchers (TSQs), especially cyclooctatetraene (COT), can dramatically improve fluorophore performance, particularly when linked intramolecularly so as to enable "self-healing". Leveraging knowledge revealed through investigations of the self-healing mechanism enabled by COT, we computationally screened for cyclic 8π-electron species, and their annulated derivatives, with efficient triplet-triplet energy transfer potential, high photostability, and strong spin-orbit coupling (SOC) between the lowest triplet state to the singlet ground state. Here, we report theory-based analyses of a broad array of candidates that demonstrate various extents of triplet state Baird-aromaticity, indicating self-healing potential. We identify specific candidates with 7-membered ring structures predicted to exhibit favorable enhancements in fluorophore performance spanning the visible spectrum, with several possessing estimated intersystem crossing (ISC) rates up to 4 × 10<sup>6</sup> times faster than that of COT, the current benchmark for the self-healing strategy.

Chemical ScienceVol. 16(18)
Uppsala University (SE), St. Jude Children's Research Hospital (US), Cal Poly Humboldt (US), Universitat de Girona (ES), Birla Institute of Technology and Science, Pilani (IN)
Openalex Percentile: Top 6%
Synthesis and Properties of Aromatic Compounds
4.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.