Evidence map›Paper›PMID 42466740›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Protonation-Gated Orthogonal Control of Highly Efficient Molecular Motors With Broad Visible-Light Responsiveness.

Jinghao Wang, Alexander Ryabchun, Ben L Feringa

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. 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

3 authors.

Jinghao WangStratingh Institute for Chemistry, University of Groningen, Groningen, the Netherlands.
Alexander RyabchunStratingh Institute for Chemistry, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-9605-3067
Ben L FeringaStratingh Institute for Chemistry, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0003-0588-8435

Funding

Netherlands Organization for Scientific Research 19235Royal Netherlands Academy of Arts and Sciences (B.L.F.) and the Dutch Ministry of Education, Culture, and Science 024.001.035
6 · The paper itself

Abstract

Molecular motors with red-shifted absorption are highly attractive for biomedical applications, yet remain challenging to realize because conventional strategies for extending excitation wavelengths often compromise photochemical efficiency and directional motor function. Here, we report a protonation-gated strategy in which reversible modulation of conjugation topology enables state-dependent molecular motor operation across a broad visible-light window. Modifying coumarin-derived overcrowded alkenes with benzazole substituents, the resulting motors undergo efficient photoisomerization under blue-green light irradiation. Photophysical studies supported by DFT calculations reveal that protonation induces a pronounced conformational inversion with the formation of intramolecular hydrogen bonds, thereby promoting molecular planarization and enhanced electronic delocalization, leading to the efficient photoisomerization under 530-600 nm irradiation while quantitative photoconversion is retained. Overall, these findings establish reversible protonation as a powerful chemical gating strategy to expand the visible-light responsiveness of the motor without permanent structural modification, paving the way for its application in multimodal responsive bioimaging and advanced optical devices.

Indexed as

adaptive molecular machinesbroad‐visible‐spectrum excitationmolecular motorsmulti‐stimulus‐responsive systemsprotonation‐gated switching

Identifiers

PMID42466740
PMCPMC13573078

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.