Evidence map›Paper›PMID 35156269›Full record

ArticleAngewandte Chemie (International ed. in English)2022

A Platform for Stop-Flow Gradient Generation to Investigate Chemotaxis.

Zuyao Xiao, Audrey Nsamela, Benjamin Garlan, Juliane Simmchen

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Tactic Behaviors in Asymmetric Pacman Particles.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  2. Artificial chemotaxis in micro/nanomotors.Nature communications · 2026
    Review
  3. Perspective on Interdisciplinary Approaches on Chemotaxis.Angewandte Chemie (International ed. in English) · 2025
    Review
  4. Interactions Between Active Matters and Endogenous Fields.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  5. Collective Dynamics of Urease-Based Nanomotors in a Chemical Gradient.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A Platform for Stop-Flow Gradient Generation to Investigate Chemotaxis.Angewandte Chemie (International ed. in English) · 2022
    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.

Zuyao XiaoChair of Physical Chemistry, TU Dresden, 01062, Dresden, Germany.
Audrey NsamelaChair of Physical Chemistry, TU Dresden, 01062, Dresden, Germany.
Benjamin GarlanElvesys SAS, Rue de Charonne 172, 75011, Paris, France.ORCID 0000-0002-5296-6830
Juliane SimmchenChair of Physical Chemistry, TU Dresden, 01062, Dresden, Germany.ORCID 0000-0001-9073-9770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of artificial microswimmers to respond to external stimuli and the mechanistical details of their origins belong to the most disputed challenges in interdisciplinary science. Therein, the creation of chemical gradients is technically challenging, because they quickly level out due to diffusion. Inspired by pivotal stopped flow experiments in chemical kinetics, we show that microfluidics gradient generation combined with a pressure feedback loop for precisely controlling the stop of the flows, can enable us to study mechanistical details of chemotaxis of artificial Janus micromotors, based on a catalytic reaction. We find that these copper Janus particles display a chemotactic motion along the concentration gradient in both, positive and negative direction and we demonstrate the mechanical reaction of the particles to unbalanced drag forces, explaining this behaviour.

Indexed as

ChemotaxisMicrofluidicsDiffusion

Identifiers

PMID35156269
PMCPMC9401050

What OpenQuestion holds

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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.