Evidence map›Paper›PMID 33236172›Full record

ArticleEuropean biophysics journal : EBJ2020

Measuring compressibility in the optima AUC™ analytical ultracentrifuge.

Marielle Stoutjesdyk, Emre Brookes, Amy Henrickson, Borries Demeler

Abstract read
In one paragraph

Article in European biophysics journal : EBJ, 2020. 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. Article
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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.

Marielle StoutjesdykDepartment of Physics and Astronomy, University of Lethbridge, Lethbridge, AB, Canada.
Emre BrookesDepartment of Chemistry, University of Montana, Missoula, MT, USA.
Amy HenricksonDepartment of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB, Canada.
Borries DemelerDepartment of Chemistry, University of Montana, Missoula, MT, USA. demeler@gmail.com.ORCID http://orcid.org/0000-0002-2414-9518

Funding

Development of an UltraScan Meta-Scheduler for HPC Job SubmissionR01GM120600 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Emre H. Brookes, BORRIES DEMELER · 2016 to 2026
$3.6M
Canada Foundation for Innovation CFI-37589Canada Research Chairs C150-2017-00015Natural Sciences and Engineering Research Council of Canada (NSERC), DG-RGPIN-2019-05637NIGMS NIH HHS 1R01GM120600NIGMS NIH HHS R01 GM120600
6 · The paper itself

Abstract

A method is described to accurately measure the compressibility of liquids using an analytical ultracentrifuge. The method makes use of very large pressure gradients, which can be generated in the analytical ultracentrifuge at high speeds to induce a maximum compression signal. Taking advantage of the new Optima AUC, which offers 10 micron radial resolution, a novel calibration centerpiece for measuring rotor stretch, and a speed-ramping procedure, even the weak compressibility of liquids like water, typically considered to be incompressible, could be detected. A model using the standard expression for the secant-average bulk modulus describing the relative compression of a liquid in the analytical ultracentrifuge is derived. The model is a function of the loading volume and the hydrostatic pressure generated in the analytical ultracentrifuge, as well as the secant-average bulk modulus. The compressibility of water and toluene were measured and the linear secant-average bulk modulus and meniscus positions were fitted. In addition to the measurement of the compressibility of liquids, applications for this method include an improved prediction of boundary conditions for multi-speed analytical ultracentrifugation experiments to better describe highly heterogeneous systems with analytical speed-ramping procedures, and the prediction of radius-dependent density variations.

Indexed as

Mechanical PhenomenaHydrostatic PressureUltracentrifugationAnalytical ultracentrifugeBulk modulusCompressibilityNumerical modeling

Identifiers

PMID33236172
PMCPMC7751350

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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.