Towards designing dysphagia foods: Recent advances in influencing factors and computer modeling for the swallowing of thickened fluids

Shuhan Liu, Dongling Qiao, Zihang Cheng, Fengwei Xie, Siming Zhao, Binjia Zhang

Research output: Contribution to journalReview articlepeer-review

10 Citations (SciVal)

Abstract

Background: Dysphagia, a widely suffered disease mainly by seniors, causes food swallowing-related issues such as choking, aspiration, aspiration pneumonia, and even death. Designing special diets such as thickened fluids (e.g. water, milk, soups, and juices) is an essential means of managing swallowing problems for people with dysphagia. Scope and approach: This review discusses intrinsic influencing factors (e.g. surface tension, viscosity, yield stress, and the cohesion of fluid food boluses) and external influencing factors (e.g. temperature, fluid volume, saliva secretion, and body posture) that influence the swallowing behaviors (e.g. oropharyngeal flow velocity, residual amount, and aspiration risk) of thickened fluids. Subsequently, computer models assessing the swallowing features of thickened fluids (Newtonian/non-Newtonian) are highlighted, including mesh-based methods (e.g. finite element method (FEM)) and mesh-free methods (e.g. smooth particle hydrodynamics (SPH) and moving particle semi-implicit (MPS)). Also, current challenges and prospects of computer modeling in the development of dysphagia fluid foods are proposed. Key findings and conclusions: The swallowing behaviors of thickened fluids are closely linked to intrinsic and external factors. Increasing the viscosity and cohesiveness can slow the flow of the swallowed fluid bolus and suppress fluid splashing, thus providing more response time for the nerve system and muscles to reduce choking and aspiration risks. Such information is vital for establishing mesh-based and mesh-free computer models used to inspect the swallowing process of thickened fluids. These computer models are potentially useful for developing dysphagia foods, especially thickened fluids, with tailored swallowing performance.

Original languageEnglish
Pages (from-to)17-30
Number of pages14
JournalTrends in Food Science and Technology
Volume137
Early online date11 May 2023
DOIs
Publication statusPublished - 1 Jul 2023

Funding

B Zhang would like to acknowledge the Fundamental Research Funds for the Central Universities (SWU-KR22044). D. Qiao would like to acknowledge the Key R & D project of Hubei Province (2022BBA004) and the National Natural Science Foundation of China (32172240).

FundersFunder number
National Natural Science Foundation of China32172240
Fundamental Research Funds for the Central UniversitiesSWU-KR22044
Key Research and Development Project of Hainan Province2022BBA004

    Keywords

    • Computer modeling
    • Dysphagia food
    • Fluid swallowing
    • Fluid thickening
    • Influencing factors

    ASJC Scopus subject areas

    • Biotechnology
    • Food Science

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