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 language | English |
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Pages (from-to) | 17-30 |
Number of pages | 14 |
Journal | Trends in Food Science and Technology |
Volume | 137 |
Early online date | 11 May 2023 |
DOIs | |
Publication status | Published - 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).
Funders | Funder number |
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National Natural Science Foundation of China | 32172240 |
Fundamental Research Funds for the Central Universities | SWU-KR22044 |
Key Research and Development Project of Hainan Province | 2022BBA004 |
Keywords
- Computer modeling
- Dysphagia food
- Fluid swallowing
- Fluid thickening
- Influencing factors
ASJC Scopus subject areas
- Biotechnology
- Food Science