Evidence map›Paper›PMID 41642334›Full record

ReviewLangmuir : the ACS journal of surfaces and colloids2026

Optical Tweezers in Emulsion Research: Principles, Advances, and Prospects.

Qifei Ma, Huaizhou Jin, Xiaoxiao Shang, Tamas Pardy, Ott Scheler, Simona Bartkova, Dan Cojoc, Denis Garoli, Shangzhong Jin

Abstract readReview
In one paragraph

Review in Langmuir : the ACS journal of surfaces and colloids, 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

9 authors.

Qifei MaCollege of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.
Huaizhou JinKey Laboratory of Quantum Precision Measurement, College of Physics, Zhejiang University of Technology, Hangzhou 310058, China.
Xiaoxiao ShangCollege of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.
Tamas PardyThomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Tallinn 12618, Estonia.
Ott SchelerDepartment of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn 12618, Estonia.ORCID 0000-0002-8428-1350
Simona BartkovaDepartment of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn 12618, Estonia.ORCID 0000-0001-9567-104X
Dan CojocCNR-Istituto Officina dei Materiali (CNR-IOM), SS 14 km 163.5, Area Science Park Basovizza, Trieste 34149, Italy.
Denis GaroliCollege of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-5418-7494
Shangzhong JinCollege of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical tweezers (OTs) have emerged as a powerful tool for probing emulsion dynamics with single-droplet precision, enabling quantitative analysis of interfacial interactions. Recent OT studies have systematically elucidated the critical factors governing emulsion stability, including ionic strength, pH, surfactant architecture, temperature, and photo/gas stimuli. Parallel advances in optofluidic control demonstrate that light-driven droplet rotation-achieved through angular momentum transfer and liquid crystal molecular reorientation represents a transformative approach for active soft matter manipulation. In this review, we conduct a systematic evaluation of OT systems, encompassing both instrumental configurations and cost-benefit analyses to assess their practical feasibility. The review critically examines the unique capabilities of OTs in emulsion research-including unprecedented spatial resolution and quantitative force measurement at the single-droplet level while addressing current limitations in throughput and operational complexity. Looking forward, the synergistic integration of OT technology with microfluidic platforms and machine learning algorithms is also presented.

Identifiers

PMID41642334
PMCPMC12922172

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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.