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The role of saliva in oral processing: Reconsidering the breakdown path paradigm

Boehm, Michael W.; Yakubov, Gleb E.; Stokes, Jason R.; Baier, Stefan K.

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Authors

Michael W. Boehm

Jason R. Stokes

Stefan K. Baier



Abstract

We discuss food oral processing research over the last two decades and consider strategies for quantifying the food breakdown model, originally conceptualised by Hutchings and Lillford . The key innovation in their seminal 1988 paper was shifting the focus from intact food properties, measured in the lab, towards strategies to capture the dynamic nature of eating. This has stimulated great progress in the field, but a key aspect missing in oral processing research is the conversion of the Hutchings and Lillford breakdown path conceptual model into quantifiable parameters considered in the context of physiological factors such as saliva and oral movements. To address these short comings, we propose the following analysis: Hutchings’s and Lillford’s definitions of “Structure” and “Lubrication” are incomplete and they comprise many and varied physicochemical properties. We offer, here, a deeper analysis of each parameter, and propose strategies for researchers to consider in their quantification as an update of the Hutchings and Lillford Breakdown path.

Journal Article Type Article
Acceptance Date May 3, 2019
Online Publication Date May 26, 2019
Publication Date May 26, 2019
Deposit Date Jul 2, 2019
Publicly Available Date May 27, 2020
Journal Journal of Texture Studies
Print ISSN 0022-4901
Electronic ISSN 1745-4603
Publisher Wiley
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1111/jtxs.12411
Keywords Food Science; Pharmaceutical Science
Public URL https://nottingham-repository.worktribe.com/output/2260935
Publisher URL https://onlinelibrary.wiley.com/doi/full/10.1111/jtxs.12411
Additional Information This is the peer reviewed version of the following article: The role of saliva in oral processing: Reconsidering the breakdown path paradigm,
Michael W. Boehm Gleb E. Yakubov Jason R. Stokes Stefan K. Baier, which has been published in final form at https://doi.org/10.1111/jtxs.12411. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

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