{"title":"体外机器人咀嚼咀嚼过程中食物质地变化的研究","authors":"Xudong Wang, Bangxiang Chen, Jaspreet Dhupia, Macro Morgenstern, Weiliang Xu","doi":"10.1111/jtxs.70037","DOIUrl":null,"url":null,"abstract":"<p>The aim of this study was to investigate food texture changes during mastication using a robotic chewing system. Roasted peanuts and white bread were used as representative food samples to explore how different chewing behaviors affect textural transformations. Initially, the number of cycles required to chew each food sample for swallowing was recorded through in vivo experiments. Subsequently, various molar chewing trajectories, occlusal forces, and artificial saliva flow rates were applied in the robotic chewing system to simulate a range of chewing behaviors. Each food type was chewed by the robot for 0%, 25%, 50%, 75%, and 100% of the total determined number of chewing cycles. Nine food texture variables were measured using texture profile analysis (TPA). Principal component analysis (PCA) and partial least squares regression (PLSR) were employed to assess the correlations between chewing behaviors and food texture changes. Results showed that for roasted peanuts, hardness, adhesive force, and cohesiveness had strong correlations with chewing cycles, while for white bread, these relationships were less pronounced. The mechanisms underlying the texture changes were analyzed and explained. For roasted peanuts, texture changes were primarily governed by chewing stages, with an average hardness reduction of 81.5% over the chewing process. Springiness and its index were mainly influenced by saliva secretion rate. Conversely, white bread initially exhibited increased hardness due to compression, followed by gradual softening. Its adhesive force was chiefly impacted by saliva secretion, while cohesiveness was more strongly affected by chewing trajectory. These findings should be interpreted cautiously, as the limited and homogeneous participant sample restricts their broader applicability.</p>","PeriodicalId":17175,"journal":{"name":"Journal of texture studies","volume":"56 5","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jtxs.70037","citationCount":"0","resultStr":"{\"title\":\"In Vitro Robotic Chewing Studies of Food Texture Changes During Mastication\",\"authors\":\"Xudong Wang, Bangxiang Chen, Jaspreet Dhupia, Macro Morgenstern, Weiliang Xu\",\"doi\":\"10.1111/jtxs.70037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The aim of this study was to investigate food texture changes during mastication using a robotic chewing system. Roasted peanuts and white bread were used as representative food samples to explore how different chewing behaviors affect textural transformations. Initially, the number of cycles required to chew each food sample for swallowing was recorded through in vivo experiments. Subsequently, various molar chewing trajectories, occlusal forces, and artificial saliva flow rates were applied in the robotic chewing system to simulate a range of chewing behaviors. Each food type was chewed by the robot for 0%, 25%, 50%, 75%, and 100% of the total determined number of chewing cycles. Nine food texture variables were measured using texture profile analysis (TPA). Principal component analysis (PCA) and partial least squares regression (PLSR) were employed to assess the correlations between chewing behaviors and food texture changes. Results showed that for roasted peanuts, hardness, adhesive force, and cohesiveness had strong correlations with chewing cycles, while for white bread, these relationships were less pronounced. The mechanisms underlying the texture changes were analyzed and explained. For roasted peanuts, texture changes were primarily governed by chewing stages, with an average hardness reduction of 81.5% over the chewing process. Springiness and its index were mainly influenced by saliva secretion rate. Conversely, white bread initially exhibited increased hardness due to compression, followed by gradual softening. Its adhesive force was chiefly impacted by saliva secretion, while cohesiveness was more strongly affected by chewing trajectory. These findings should be interpreted cautiously, as the limited and homogeneous participant sample restricts their broader applicability.</p>\",\"PeriodicalId\":17175,\"journal\":{\"name\":\"Journal of texture studies\",\"volume\":\"56 5\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jtxs.70037\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of texture studies\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jtxs.70037\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of texture studies","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jtxs.70037","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
In Vitro Robotic Chewing Studies of Food Texture Changes During Mastication
The aim of this study was to investigate food texture changes during mastication using a robotic chewing system. Roasted peanuts and white bread were used as representative food samples to explore how different chewing behaviors affect textural transformations. Initially, the number of cycles required to chew each food sample for swallowing was recorded through in vivo experiments. Subsequently, various molar chewing trajectories, occlusal forces, and artificial saliva flow rates were applied in the robotic chewing system to simulate a range of chewing behaviors. Each food type was chewed by the robot for 0%, 25%, 50%, 75%, and 100% of the total determined number of chewing cycles. Nine food texture variables were measured using texture profile analysis (TPA). Principal component analysis (PCA) and partial least squares regression (PLSR) were employed to assess the correlations between chewing behaviors and food texture changes. Results showed that for roasted peanuts, hardness, adhesive force, and cohesiveness had strong correlations with chewing cycles, while for white bread, these relationships were less pronounced. The mechanisms underlying the texture changes were analyzed and explained. For roasted peanuts, texture changes were primarily governed by chewing stages, with an average hardness reduction of 81.5% over the chewing process. Springiness and its index were mainly influenced by saliva secretion rate. Conversely, white bread initially exhibited increased hardness due to compression, followed by gradual softening. Its adhesive force was chiefly impacted by saliva secretion, while cohesiveness was more strongly affected by chewing trajectory. These findings should be interpreted cautiously, as the limited and homogeneous participant sample restricts their broader applicability.
期刊介绍:
The Journal of Texture Studies is a fully peer-reviewed international journal specialized in the physics, physiology, and psychology of food oral processing, with an emphasis on the food texture and structure, sensory perception and mouth-feel, food oral behaviour, food liking and preference. The journal was first published in 1969 and has been the primary source for disseminating advances in knowledge on all of the sciences that relate to food texture. In recent years, Journal of Texture Studies has expanded its coverage to a much broader range of texture research and continues to publish high quality original and innovative experimental-based (including numerical analysis and simulation) research concerned with all aspects of eating and food preference.
Journal of Texture Studies welcomes research articles, research notes, reviews, discussion papers, and communications from contributors of all relevant disciplines. Some key coverage areas/topics include (but not limited to):
• Physical, mechanical, and micro-structural principles of food texture
• Oral physiology
• Psychology and brain responses of eating and food sensory
• Food texture design and modification for specific consumers
• In vitro and in vivo studies of eating and swallowing
• Novel technologies and methodologies for the assessment of sensory properties
• Simulation and numerical analysis of eating and swallowing