Evidence map›Paper›PMID 40895205›Full record

ArticleJournal of coordination chemistry2025

Beyond BODIPY: dipyrrin complexes of P-block elements.

Isaac S Schomberg-Sanchez, Wilmar A Janusz, Christopher M Lemon

Abstract read
In one paragraph

Article in Journal of coordination chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Hangman dipyrrin complexes.Chemical science · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Isaac S Schomberg-SanchezDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, MT, USA.
Wilmar A JanuszDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, MT, USA.
Christopher M LemonDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, MT, USA.ORCID 0000-0001-9493-5488

Funding

Ratiometric Metabolite Sensors for the Early Detection of DiseaseR35GM157218 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Christopher Michael Lemon · 2025 to 2026
$679k
NIGMS NIH HHS R35 GM157218
6 · The paper itself

Abstract

Dipyrrin has proven to be a versatile ligand platform for metals across the periodic table. Since much of the coordination chemistry has focused on transition metals, main-group dipyrrin chemistry has been underexplored, particularly in the case of heavy p-block elements. Boron dipyrrin complexes (also known as BODIPY) were initially reported in 1968, yet the first well-characterized example of a heavy p-block dipyrrin complex was in 2006. This nascent area of research has undergone a significant surge, where nearly half of the reports in this field have been published since 2019. Given this renewed interest and rapid development, we provide a focused review on heavy p-block dipyrrin complexes, describing the synthesis, structure, and spectroscopy of these molecules. One significant aspect of these complexes is their optical properties, which access red and near-infrared wavelengths with high quantum yields. While these main-group dipyrrins have been used as catalysts, they have also been leveraged for a variety of biological applications including photodynamic therapy, tumor imaging, and cytotoxic drugs. With the advent of synthetic methods for these novel p-block complexes, dipyrrins can begin to interface with recent advances and applications of main-group chemistry, potentially offering advantages over other ligand platforms.

Indexed as

bioimagingcatalysisDipyrrinemissionmain-groupp-blockphotodynamic therapy (PDT)X-ray structure

Identifiers

PMID40895205
PMCPMC12396737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.