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.
{"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":"https://doi.org/10.1111/jtxs.70037","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":2.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jtxs.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ebrahimi Pure, A., M. S. Yarmand, M. Farhoodi, and A. Adedeji. 2021. “Microwave Treatment to Modify Textural Properties of High Protein Gel Applicable as Dysphagia Food.” Journal of Texture Studies 52, no. (5–6): 638–646. https://doi.org/10.1111/jtxs.12611.
There was an error in the originally published metadata for Ali Ebrahimi Pure. The correct surname is “Ebrahimi Pure.” The metadata has been corrected online accordingly, and the correct citation is above.
We apologize for this error.
Ebrahimi Pure, A., m.s. Yarmand, M. Farhoodi和A. Adedeji, 2021。“微波处理改变高蛋白凝胶的结构特性,适用于吞咽困难食品。”Journal of Texture Studies,第52期。(5 - 6): 638 - 646。https://doi.org/10.1111/jtxs.12611.There是Ali Ebrahimi Pure最初发布的元数据中的一个错误。正确的姓氏应该是“易卜拉欣·普莱特”。元数据已经在网上进行了相应的更正,正确的引文在上面。我们为这个错误道歉。
{"title":"Correction to “Microwave Treatment to Modify Textural Properties of High Protein Gel Applicable as Dysphagia Food”","authors":"","doi":"10.1111/jtxs.70034","DOIUrl":"https://doi.org/10.1111/jtxs.70034","url":null,"abstract":"<p>Ebrahimi Pure, A., M. S. Yarmand, M. Farhoodi, and A. Adedeji. 2021. “Microwave Treatment to Modify Textural Properties of High Protein Gel Applicable as Dysphagia Food.” <i>Journal of Texture Studies</i> 52, no. (5–6): 638–646. https://doi.org/10.1111/jtxs.12611.</p><p>There was an error in the originally published metadata for Ali Ebrahimi Pure. The correct surname is “Ebrahimi Pure.” The metadata has been corrected online accordingly, and the correct citation is above.</p><p>We apologize for this error.</p>","PeriodicalId":17175,"journal":{"name":"Journal of texture studies","volume":"56 4","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jtxs.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Baran Teoman, Mark Vandeven, Aileen Cabelly, Monica Morelli, Andrei Potanin
This study examines the "squeezability" of toothpaste tubes, focusing on how ease of dispensing influences consumer acceptability of the product. Eight toothpaste samples, modified from a commercial product, were evaluated by 27 panelists in terms of acceptability scale. In parallel, instrumental measurements were conducted using a tactile glove and a texture analyzer to assess grip force and squeeze rate. A toothpaste tube can be too hard (paste does not flow easily) or too soft (paste flowing out uncontrollably) to squeeze. In this work, the optimal range or the "golden middle" of squeezability was determined via statistical analysis of the sensory and textural data, offering insights for improving product design and packaging.
{"title":"Sensory Perception Optimization of Consumer Products: Toothpaste Tube Squeezability.","authors":"Baran Teoman, Mark Vandeven, Aileen Cabelly, Monica Morelli, Andrei Potanin","doi":"10.1111/jtxs.70036","DOIUrl":"https://doi.org/10.1111/jtxs.70036","url":null,"abstract":"<p><p>This study examines the \"squeezability\" of toothpaste tubes, focusing on how ease of dispensing influences consumer acceptability of the product. Eight toothpaste samples, modified from a commercial product, were evaluated by 27 panelists in terms of acceptability scale. In parallel, instrumental measurements were conducted using a tactile glove and a texture analyzer to assess grip force and squeeze rate. A toothpaste tube can be too hard (paste does not flow easily) or too soft (paste flowing out uncontrollably) to squeeze. In this work, the optimal range or the \"golden middle\" of squeezability was determined via statistical analysis of the sensory and textural data, offering insights for improving product design and packaging.</p>","PeriodicalId":17175,"journal":{"name":"Journal of texture studies","volume":"56 4","pages":"e70036"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}