Evidence map›Paper›PMID 24614529›Full record

ArticlePloS one2014

Osmosis-based pressure generation: dynamics and application.

Brandon R Bruhn, Thomas B H Schroeder, Suyi Li, Yazan N Billeh, K W Wang, Michael Mayer

Abstract read
In one paragraph

Article in PloS one, 2014. 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. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Fast nastic motion of plants and bioinspired structures.Journal of the Royal Society, Interface · 2015
    Review
  10. 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

6 authors.

Brandon R BruhnDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
Thomas B H SchroederDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
Suyi LiDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
Yazan N BillehDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
K W WangDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
Michael MayerDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America; Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.

Funding

Cellular Biotechnology Training Program (CBTP)T32GM008353 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHWENDEMAN, ANNA · 1991 to 2021
$9.3M
Microfluidics in Biomedical Sciences Training ProgramT32EB005582 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FAN, XUDONG · 2005 to 2020
$3.9M
Cellular Biotechnology Training Program (CBTP) - Years 31-35T32GM145304 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Guizhi Zhu · 2022 to 2026
$2.6M
NIBIB NIH HHS T32 EB005582NIGMS NIH HHS T32 GM008353NIGMS NIH HHS T32 GM145304
6 · The paper itself

Abstract

This paper describes osmotically-driven pressure generation in a membrane-bound compartment while taking into account volume expansion, solute dilution, surface area to volume ratio, membrane hydraulic permeability, and changes in osmotic gradient, bulk modulus, and degree of membrane fouling. The emphasis lies on the dynamics of pressure generation; these dynamics have not previously been described in detail. Experimental results are compared to and supported by numerical simulations, which we make accessible as an open source tool. This approach reveals unintuitive results about the quantitative dependence of the speed of pressure generation on the relevant and interdependent parameters that will be encountered in most osmotically-driven pressure generators. For instance, restricting the volume expansion of a compartment allows it to generate its first 5 kPa of pressure seven times faster than without a restraint. In addition, this dynamics study shows that plants are near-ideal osmotic pressure generators, as they are composed of many small compartments with large surface area to volume ratios and strong cell wall reinforcements. Finally, we demonstrate two applications of an osmosis-based pressure generator: actuation of a soft robot and continuous volume delivery over long periods of time. Both applications do not need an external power source but rather take advantage of the energy released upon watering the pressure generators.

Indexed as

OsmosisOsmotic PressureMimosaModels, TheoreticalRoboticsTime Factors

Identifiers

PMID24614529
PMCPMC3948862

What OpenQuestion holds

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LicenceCC BY
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.