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In Vitro Robotic Chewing Studies of Food Texture Changes During Mastication
Xudong Wang1, Bangxiang Chen1,2, Jaspreet Dhupia1
1Department of Mechanical & Mechatronics Engineering, The University of Auckland, Auckland, New Zealand.
Journal of Texture Studies
|August 27, 2025
Summary
This study used a robotic chewing system to analyze food texture changes. Peanut hardness decreased significantly with chewing cycles, while bread
Area of Science:
- Food science and technology
- Biomechanics
- Rheology
Background:
- Understanding food texture changes during mastication is crucial for food design and oral processing.
- Mastication involves complex interactions between food properties, chewing mechanics, and saliva.
- Previous studies often relied on simplified models or in vivo human trials, limiting control over variables.
Purpose of the Study:
- To investigate the impact of different chewing behaviors on the textural transformation of roasted peanuts and white bread.
- To quantify food texture changes using a robotic chewing system and analyze correlations with mastication parameters.
- To elucidate the underlying mechanisms of texture modification during simulated chewing.
Main Methods:
- A robotic chewing system simulated various chewing trajectories, occlusal forces, and saliva flow rates.
- Roasted peanuts and white bread were chewed to 0%, 25%, 50%, 75%, and 100% of their determined swallowing cycles.
- Texture Profile Analysis (TPA) measured nine food texture variables, analyzed using Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR).
Main Results:
- Roasted peanuts showed strong correlations between hardness, adhesive force, cohesiveness, and chewing cycles, with an 81.5% average hardness reduction.
- White bread's texture changes were less pronounced; hardness initially increased due to compression before softening.
- Saliva flow rate significantly influenced springiness and adhesive force for peanuts and bread, respectively, while chewing trajectory impacted bread's cohesiveness.
Conclusions:
- Food texture transformation during mastication is highly dependent on food type and specific chewing parameters.
- Robotic chewing systems provide a controlled environment to study mastication dynamics and food breakdown mechanisms.
- Findings highlight the distinct textural modifications of peanuts and bread, influenced by chewing stages, saliva, and mechanics, though participant sample limitations warrant cautious interpretation.
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