Evidence map›Paper›PMID 37409349›Full record

ArticleSoft matter2023

Dynamic interfaces for contact-time control of colloidal interactions.

Yaxin Xu, Kyu Hwan Choi, Sachit G Nagella, Sho C Takatori

Abstract read
In one paragraph

Article in Soft matter, 2023. 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. Capillary Wave-Assisted Colloidal Assembly.Langmuir : the ACS journal of surfaces and colloids · 2025
    Article
  2. Colloidal transport phenomena in dynamic, pulsating porous materials.AIChE journal. American Institute of Chemical Engineers · 2023
    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.

Yaxin XuDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA. stakatori@ucsb.edu.ORCID http://orcid.org/0000-0002-0798-5813
Kyu Hwan ChoiDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA. stakatori@ucsb.edu.
Sachit G NagellaDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA. stakatori@ucsb.edu.ORCID http://orcid.org/0000-0002-7176-875X
Sho C TakatoriDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA. stakatori@ucsb.edu.ORCID http://orcid.org/0000-0002-7839-3399

Funding

Predoctoral Training Program in Quantitative MechanobiologyT32GM141846 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Siddharth Subhas Dey, Beth L Pruitt · 2021 to 2026
$1.9M
NIGMS NIH HHS T32 GM141846
6 · The paper itself

Abstract

Understanding pairwise interactions between colloidal particles out of equilibrium has a profound impact on dynamical processes such as colloidal self assembly. However, traditional colloidal interactions are effectively quasi-static on colloidal timescales and cannot be modulated out of equilibrium. A mechanism to dynamically tune the interactions during colloidal contacts can provide new avenues for self assembly and material design. In this work, we develop a framework based on polymer-coated colloids and demonstrate that in-plane surface mobility and mechanical relaxation of polymers at colloidal contact interfaces enable an effective, dynamic interaction. Combining analytical theory, simulations, and optical tweezer experiments, we demonstrate precise control of dynamic pair interactions over a range of pico-Newton forces and seconds timescales. Our model helps further the general understanding of out-of-equilibrium colloidal assemblies while providing extensive design freedom

Identifiers

PMID37409349
PMCPMC10699160

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.