Evidence map›Paper›PMID 42414294›Full record

ArticleNature communications2026

Shedding light on bacterial fitness in a tug-of-war with liquid crystal emulsions.

Hannah Feldstein, Harikrishnan Vijayamohanan, Jan F Totz, Alberto Concellón, Jie Li, Georgios Toupalas, Mathias Kolle, Timothy M Swager

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. 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

8 authors.

Hannah Feldstein *Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA.
Harikrishnan Vijayamohanan *Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA.
Jan F Totz *Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA.
Alberto ConcellónDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA.
Jie LiDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA.
Georgios ToupalasDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA. toupalas@mit.edu.ORCID http://orcid.org/0000-0001-9088-7992
Mathias KolleDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA. mkolle@mit.edu.ORCID http://orcid.org/0000-0001-7395-8824
Timothy M SwagerDepartment of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, USA. tswager@mit.edu.ORCID http://orcid.org/0000-0002-3577-0510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and reliable quantification of bacterial dynamics at the cellular level is critical for pathogen sensing, live-dead bacterial assays, and monitoring of bacteria fitness and viability. Here, we demonstrate bacterial fitness quantification by capturing individual cells on topological defects of micro-scale liquid crystal emulsion droplets. The emulsion droplets are composed of phase-separated nematic liquid crystal and fluorocarbon components and exhibit an asymmetric mass distribution. A topological singularity in the director field of the liquid crystal phase localizes tailormade surfactants that tether a single bacterium per droplet. Active motion of the bacterium induces a tilt and azimuthal rotation of the droplet trap, which is counteracted by gravity acting on the droplet center of mass. By comparing the observed dynamics of a tethered bacterium's stochastic movement to a computational model of bacterial motion on spherical surfaces that is based on the classical Ornstein-Uhlenbeck process, we quantify the fitness of bacteria subjected to starvation over several days. This pathogen fitness sensing concept, which relies on the scalable chemical design of single bacterial cell traps, a robust optical readout, and a theoretical understanding of bacterial dynamics on spherical surfaces, offers opportunities for rapid pathogen activity assessment, micro-biological sensing, and biologically powered micro-actuator systems.

Indexed as

Liquid CrystalsEmulsionsSurface-Active AgentsEmulsionsSurface-Active Agents

Identifiers

PMID42414294
PMCPMC13473308

What OpenQuestion holds

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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.