Evidence map›Paper›PMID 38116243›Full record

ReviewBeilstein journal of organic chemistry2023

Anion-π catalysis on carbon allotropes.

M Ángeles Gutiérrez López, Mei-Ling Tan, Giacomo Renno, Augustina Jozeliūnaitė, J Jonathan Nué-Martinez, Javier Lopez-Andarias, Naomi Sakai, Stefan Matile

Abstract readReview
In one paragraph

Review in Beilstein journal of organic chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

8 authors.

M Ángeles Gutiérrez LópezDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0009-0007-4606-8392
Mei-Ling TanDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-7983-3432
Giacomo RennoDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.
Augustina JozeliūnaitėDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-1643-7373
J Jonathan Nué-MartinezDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-6483-6892
Javier Lopez-AndariasDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.
Naomi SakaiDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-9460-1944
Stefan MatileDepartment of Organic Chemistry, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-8537-8349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anion-π catalysis, introduced in 2013, stands for the stabilization of anionic transition states on π-acidic aromatic surfaces. Anion-π catalysis on carbon allotropes is particularly attractive because high polarizability promises access to really strong anion-π interactions. With these expectations, anion-π catalysis on fullerenes has been introduced in 2017, followed by carbon nanotubes in 2019. Consistent with expectations from theory, anion-π catalysis on carbon allotropes generally increases with polarizability. Realized examples reach from enolate addition chemistry to asymmetric Diels-Alder reactions and autocatalytic ether cyclizations. Currently, anion-π catalysis on carbon allotropes gains momentum because the combination with electric-field-assisted catalysis promises transformative impact on organic synthesis.

Indexed as

anion–π interactionsautocatalysiscarbon nanotubescatalysisDiels–Alder reactionselectric-field-induced catalysiselectromicrofluidicsenolate additionether cyclizationsfullerenes

Identifiers

PMID38116243
PMCPMC10729121

What OpenQuestion holds

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Registered trials

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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.