Evidence map›Paper›PMID 41671372›Full record

ArticleScience advances2026

Tunable 3D optohydrodynamic torques from optical phase gradient-driven colloidal assemblies.

Xiao Li, Chenchen Liu, Zongpeng Huang, Jack Ng, Fan Nan

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Xiao LiDepartment of Physics and Institute for Advanced Study, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.ORCID 0000-0001-6273-0621
Chenchen LiuCollege of Physics & Optoelectronic Engineering, Institute of Nanophotonics, Jinan University, Guangzhou 511443, China.ORCID 0009-0009-0246-2093
Zongpeng HuangCollege of Physics & Optoelectronic Engineering, Institute of Nanophotonics, Jinan University, Guangzhou 511443, China.
Jack NgKey Laboratory of Quantum Functional Materials, Department of Physics, and Guangdong Basic Research Center of Excellence for Quantum Science, Southern University of Science and Technology (SUSTech), Shenzhen 518055, Guangdong, China.ORCID 0000-0001-9776-3714
Fan NanCollege of Physics & Optoelectronic Engineering, Institute of Nanophotonics, Jinan University, Guangzhou 511443, China.ORCID 0000-0002-0786-4974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optohydrodynamic manipulation offers a versatile, noninvasive, and reconfigurable approach for controlling microscopic objects. Here, we present a strategy for generating tunable three-dimensional optohydrodynamic torques through phase gradient-driven nanoparticle assemblies. Using programmable optical ring vortices (Laguerre-Gaussian beams), we assemble and rotate colloidal clusters with certain particle numbers, whose induced hydrodynamic flows apply switchable in-plane and out-of-plane torques on target particles. Torque control is achieved via two mechanisms: (i) reversing the handedness of circular polarization to break rotational symmetry and (ii) displacing optical ring vortices and modulating cluster rotation speed. These complementary controls provide robust, high-resolution torques tuned in arbitrary directions. As a proof of concept, we demonstrate full three-dimensional orientation control of a single cell. This framework greatly expands the capabilities of optohydrodynamic systems by explicitly incorporating light-driven interparticle interactions and establishes a foundation for advanced applications in biophysics, microrobotics, and biomedical engineering.

Identifiers

PMID41671372
PMCPMC12893283

What OpenQuestion holds

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LicenceCC BY
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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.