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Journal of Texture Studies
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Journal of Texture Studies
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License: CC BY
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Artifacts and errors in the measurement of the stickiness of liquid foods with tack tests

Authors: Seyed Mostafa Kazemeini; Andrew J. Rosenthal;

Artifacts and errors in the measurement of the stickiness of liquid foods with tack tests

Abstract

AbstractWe encounter stickiness in many areas of our daily life and as humans, we are able to discriminate different levels of stickiness. Yet attempts to measure stickiness with instruments have been challenging. One of the commonest approaches has been the “tack test” in which a probe is brought into contact with the sticky food and then pulled away while measuring the resisting force—various indices, such as the maximum force or the area below the force curve have been used to describe stickiness. This work rationalizes results from tack tests for liquid foods and helps us explain the influence of probe geometry. Photographic evidence of the way that the liquid adheres/detaches from the probe suggests that the terms “cohesive” and “adhesive” failure depend on the speed of the test. Application of a fixed deformation with time shows rapid loss of adhesive force suggesting that liquid samples flow from the probe. We propose that stickiness of liquid foods is entirely due to the liquid's viscosity and surface tension, and that measurements of tack for liquid foods—while highly reproducible—are entirely artifacts of the test method employed and are in effect snapshots in time of non‐equilibrium processes.

Related Organizations
Keywords

Food, Viscosity, Humans, Artifacts

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
hybrid