Evidence map›Paper›PMID 35338484›Full record

ArticleJournal of texture studies2022

A method for evaluating time-resolved rheological functionalities of fluid foods.

Kohei Ohie, Haruko Chiba, Satomi Kumagai, Taiki Yoshida, Yuji Tasaka

Abstract read
In one paragraph

Article in Journal of texture studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Kohei OhieLaboratory for Flow Control, Faculty of Engineering, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-9137-044X
Haruko ChibaDepartment of Rehabilitation Medicine, Hokkaido University Hospital, Sapporo, Japan.ORCID 0000-0002-4623-4465
Satomi KumagaiNutrition Management Center, Hokkaido University Hospital, Sapporo, Japan.ORCID 0000-0003-1637-1634
Taiki YoshidaNational Metrology Institute of Japan, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.ORCID 0000-0002-9487-6198
Yuji TasakaLaboratory for Flow Control, Faculty of Engineering, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-8943-4803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed an effective method for evaluating time-resolved rheological functionalities of swallowed foods using ultrasonic spinning rheometry (USR). USR can obtain variations over time in the rheological properties of fluids despite the fluids being in heterogeneous and nonequilibrium conditions. In addition, USR can evaluate time variations of shear-thinning property changing in a few seconds. Demonstrations were conducted with typical thickener solutions: starch, guar gum, and xanthan gum-based solutions, with alpha-amylase as a digestive enzyme. The flow curve of the starch-based solutions lowered with time, and a few minutes after addition of the amylase, the viscosity dropped to one-hundredth of the original value. In contrast, the guar gum- and xanthan gum-based solutions maintained the original viscosities as generally known. Applying the power law fitting to series of these flow curves, the time variation of the shear-thinning property is quantitatively characterized by the plots on typical K-n space, where K and n are parameters in the model, consistency index and power law exponent. The qualitative characteristics of the thickeners are successfully quantified in the K-n space, and this will be a practical tool for evaluating the time-resolved rheological properties of swallowed foods.

Indexed as

FoodFood AdditivesRheologyStarchViscosityFood AdditivesStarchdigestive enzymeshear thinningthickenertransitionultrasound

Identifiers

PMID35338484
PMCPMC9544376

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Registered trials

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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.