Evidence map›Paper›PMID 41986455›Full record

ArticleNature materials2026

Efficient and reversible chirality induction between protein and achiral plasmonic assemblies.

Ziwei Zhou, Ningwei Sun, Nina Tverdokhleb, Artur Movsesyan, Anja Maria Steiner, Patrick T Probst, Vaibhav Gupta, Bo Yin, Nicolás Pazos-Peréz, Ramón A Álvarez-Puebla and 11 more

Abstract read
In one paragraph

Article in Nature materials, 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

21 authors.

Ziwei ZhouLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany. zhou@ipfdd.de.ORCID 0000-0001-8156-3988
Ningwei SunLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.ORCID 0009-0001-7392-359X
Nina TverdokhlebLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.
Artur MovsesyanInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-5425-7747
Anja Maria SteinerLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.
Patrick T ProbstLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.ORCID 0000-0001-7480-9951
Vaibhav GuptaLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.
Bo YinSynopsys, Canonsburg, PA, USA.ORCID 0000-0001-8344-4624
Nicolás Pazos-PerézDepartment of Physical and Inorganic Chemistry Universitat Rovira i Virgili, Tarragona, Spain.ORCID 0000-0002-2326-4231
Ramón A Álvarez-PueblaDepartment of Physical and Inorganic Chemistry Universitat Rovira i Virgili, Tarragona, Spain.ORCID 0000-0003-4770-5756
Mirjam TaubeLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.
Martin MüllerLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.ORCID 0000-0001-8961-4604
Holger MerlitzLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.ORCID 0000-0003-4065-4642
Olga GuskovaLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.ORCID 0000-0001-5925-6586
Yaroslava G YinglingDepartment of Materials Science and Engineering, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0002-8557-9992
Franziska S-C LisselLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.
Tobias A F KönigLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany.ORCID 0000-0002-8852-8752
Zhiming WangInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0001-7847-7704
Alexander O GovorovDepartment of Physics and Astronomy, Ohio University, Athens, OH, USA.ORCID 0000-0003-1316-6758
Nicholas A KotovDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA. kotov@umich.edu.ORCID 0000-0002-6864-5804
Andreas FeryLeibniz-Institut für Polymerforschung Dresden, Dresden, Germany. fery@ipfdd.de.ORCID 0000-0001-6692-3762

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) EXC 3035, Project-ID 533607596Deutsche Forschungsgemeinschaft (German Research Foundation) GU1510/5-1Deutsche Forschungsgemeinschaft (German Research Foundation) RTG 2767, Projektnummer 451785257United States-Israel Binational Science Foundation (BSF) 2018050
6 · The paper itself

Abstract

Chiral molecules in nature usually show optical activity only in the deep ultraviolet, whereas artificial chiral plasmonic nanostructures can generate much stronger responses at visible and near-infrared wavelengths. An important challenge is whether the abundant biomolecular chirality in nature can be directly transferred to achiral plasmonic systems without elaborate three-dimensional nanofabrication. Here we show that the mechanical stretching of protein molecules anchored within achiral gold nanoparticle assemblies strongly enhances and reversibly modulates plasmon-coupled circular dichroism. Stretching amplifies the chiroptical response to an ellipticity of 1.18° and a dissymmetry factor of 0.2, far exceeding conventional hotspot-based strategies. Repeated stretching and relaxation further enable reversible switching over more than 100 cycles. Simulations and in situ spectroscopy indicate that the deformation of protein changes its conformation and dipole alignment, thereby strengthening the plasmonic chiral response. These findings establish a route to achieve dynamically controllable chiroptical activity in achiral plasmonic assemblies, revealing how small biomolecular deformations can strongly influence plasmonic responses of much larger nanostructures.

Indexed as

GoldMetal NanoparticlesProteinsCircular DichroismStereoisomerismGoldProteins

Identifiers

PMID41986455
PMCPMC13323087

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.