Evidence map›Paper›PMID 39483129›Full record

ArticleOrganometallics2024

Installation of Copper(I) and Silver(I) Sites into TREN-Based Porous Organic Cages via Postsynthetic Metalation.

Hope A Silva, Bevan S Whitehead, Christopher D Hastings, Chandan Kumar Tiwari, William W Brennessel, Brandon R Barnett

Abstract read
In one paragraph

Article in Organometallics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hope A SilvaDepartment of Chemistry, University of Rochester, Rochester, New York 14627-0001, United States.
Bevan S WhiteheadDepartment of Chemistry, University of Rochester, Rochester, New York 14627-0001, United States.
Christopher D HastingsDepartment of Chemistry, University of Rochester, Rochester, New York 14627-0001, United States.
Chandan Kumar TiwariDepartment of Chemistry, University of Rochester, Rochester, New York 14627-0001, United States.ORCID https://orcid.org/0000-0001-5470-4191
William W BrennesselDepartment of Chemistry, University of Rochester, Rochester, New York 14627-0001, United States.ORCID https://orcid.org/0000-0001-5461-1825
Brandon R BarnettDepartment of Chemistry, University of Rochester, Rochester, New York 14627-0001, United States.ORCID https://orcid.org/0000-0002-3113-7347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous organic cages (POCs) and metal-organic polyhedra (MOPs) function as zero-dimensional porous materials, able to mimic many functions of insoluble framework materials while offering processability advantages. A popular approach to access tailored metal-based motifs in extended network materials is postsynthetic metalation, which allows metal installation to be decoupled from framework assembly. Surprisingly, this approach has only sparingly been reported for molecular porous materials. In this report, we demonstrate postsynthetic metalation of tetrahedral [4 + 4] POCs assembled from tris(2-aminoethyl)amine (TREN) and 1,3,5-tris(4-formylphenyl)benzene. The trigonally symmetric TREN motif is a common chelator in coordination chemistry and, in the POCs explored herein, readily binds copper(I) and silver(I) to form cationic cages bearing discrete mononuclear coordination fragments. Metalation retains cage porosity, allowing us to compare the sorption properties of the parent organic and metalated cages. Interestingly, introduction of copper(I) facilitates activated oxygen chemisorption, demonstrating how targeted metalation can be exploited to tune the sorption characteristics of porous molecular materials.

Identifiers

PMID39483129
PMCPMC11523223

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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.