Evidence map›Paper›PMID 42697885›Full record

ArticleNature communications2026

Shaping light in 3D for direct asymmetric photochemistry: a 1000-fold enantioselectivity enhancement.

Andrés Ordóñez, Daniel García González, Patricia Vindel-Zandbergen, David Ayuso

Abstract read
In one paragraph

Article in Nature communications, 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

4 authors.

Andrés OrdóñezDepartment of Physics, Freie Universität Berlin, Berlin, Germany. andres.ordonez@fu-berlin.de.ORCID http://orcid.org/0000-0001-5274-4413
Daniel García GonzálezDepartment of Physics, Freie Universität Berlin, Berlin, Germany.
Patricia Vindel-ZandbergenDepartment of Chemistry, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-3719-8199
David AyusoDepartment of Physics, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-5394-5361

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 543760364EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101029393National Science Foundation (NSF) CHE-2054604National Science Foundation (NSF) CHE-2054616RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/Z002834/1Royal Society URF\ERE\210358Royal Society URF\ERE\231177Royal Society URF\R1\201333
6 · The paper itself

Abstract

Shaping electronic motion with tailored light enables unprecedented control over matter: from realising topological states in quantum materials to steering chemical reactions along specific pathways. Yet, despite the vital roles of molecular chirality across nature, standard chiral light can barely influence the handedness of a chemical reaction, which is determined by the three-dimensional geometry of reactants and catalysts. Here we show how, by twisting light's Lissajous figure into a three-dimensional chiral structure, we can selectively excite one molecular enantiomer over its mirror image to trigger direct asymmetric photochemistry with an unprecedented degree of enantioselectivity. Our ab-initio simulations reveal ~30% enantioselectivity in the electronic excitation of the chiral molecule carvone-a three-orders-of-magnitude enhancement over current optical methods using circularly polarised light (~0.01%). Such control over the primary step of a photochemical reaction opens up a highly efficient route for manipulating molecular chirality exclusively with light. Thus, circumventing the current need for chiral catalysts or enantiopure reactants, and bringing direct asymmetric photochemistry into the realm of applications.

Identifiers

PMID42697885
PMCPMC13545228

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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.