Evidence map›Paper›PMID 42719444›Full record

ArticleMacromolecules2026

Controlling Solid-State Mechanochemical Pathways in Triarylmethane Mechanophores via Molecular and Matrix Design.

Dnyaneshwar Ajinath Mache, Eduardo García-Padilla, Federico Frateloreto, Gaia Egizzo, James R Hemmer, Javier G Valverde-Bastidas, Silvia De la Flor, Feliu Maseras, José Augusto Berrocal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Macromolecules, 2026. 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. 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

9 authors.

Dnyaneshwar Ajinath MacheInstitute of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science and Technology (BIST), Tarragona 43007, Spain.
Eduardo García-PadillaInstitute of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science and Technology (BIST), Tarragona 43007, Spain.ORCID https://orcid.org/0000-0001-9715-7992
Federico FrateloretoInstitute of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science and Technology (BIST), Tarragona 43007, Spain.
Gaia EgizzoInstitute of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science and Technology (BIST), Tarragona 43007, Spain.
James R HemmerAdolphe Merkle Institute, Chemin des Verdiers 4, Fribourg CH-1700, Switzerland.
Javier G Valverde-BastidasDepartment of Mechanical Engineering, Universitat Rovira i Virgili, Tarragona 43307, Spain.
Silvia De la FlorDepartment of Mechanical Engineering, Universitat Rovira i Virgili, Tarragona 43307, Spain.ORCID https://orcid.org/0000-0002-6851-1371
Feliu MaserasInstitute of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science and Technology (BIST), Tarragona 43007, Spain.ORCID https://orcid.org/0000-0001-8806-2019
José Augusto BerrocalInstitute of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science and Technology (BIST), Tarragona 43007, Spain.ORCID https://orcid.org/0000-0003-3435-8310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling reaction pathways under mechanical force is a challenge in polymer mechanochemistry. Most mechanophores exhibit a single dissociation route, and examples of mechanistic multiplicity are exceedingly rareparticularly in the solid state. Here, we report triarylmethane mechanophores that enable predominant homolytic or heterolytic pathways in polymer networks through combined molecular and matrix design. Two variants were synthesized:

Identifiers

PMID42719444
PMCPMC13557437

What OpenQuestion holds

Textmetadata
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.