Abstract
Food texture detection is the key of the study of food quality and safety. Based on the bionic chewing platform, the detection system for viscoelastic food was developed. Firstly the kinematics analysis and verified by ADAMS simulation; Secondly, the motion control, real-time data acquisition, data analysis and processing of the bionic chewing platform were realized by using LABVIEW as the host computer, so as to realize the bionic detection and evaluation of food texture quality; Finally, the effectiveness of the food texture bionic detection system was verified by the comparative study between the food texture detection system developed in this paper and the existing food texture detection instruments. The results show that the detection system can be applied to the texture detection of viscoelastic food.
Publication Date
2-28-2021
First Page
93
Last Page
97
DOI
10.13652/j.issn.1003-5788.2021.02.016
Recommended Citation
Chen-long, GU; Xing-yu, ZHOU; Tao-tao, YANG; Shan-hua, QIAN; and Jing-hu, YU
(2021)
"Research on viscoelastic food texture detection system based on bionic chewing platform,"
Food and Machinery: Vol. 37:
Iss.
2, Article 16.
DOI: 10.13652/j.issn.1003-5788.2021.02.016
Available at:
https://www.ifoodmm.cn/journal/vol37/iss2/16
References
[1] 匡凤军, 刘群, 曹倩蕾, 等. 质构仪在食品行业中的应用综述[J]. 现代食品, 2020(3): 112-115.
[2] STRIBICAIA E, EVANS C, GIBBONS C, et al. Food texture influences on satiety: Systematic review and meta-analysis[J]. Scientific Reports, 2020, 10(1): 1 843-1 848.
[3] JONAS T Guimares, CELSO F Balthazar, RAMON Silva, et al. Impact of probiotics and prebiotics on food texture[J]. Current Opinion in Food Science, 2020, 33: 38-44.
[4] 陈莉, 孙永海, 刘晶晶, 等. 基于肌电信号的仿齿压头对食品质地的影响[J]. 农业机械学报, 2014, 45(8): 248-253, 281.
[5] 周显青, 邵珂, 张玉荣. 采用质构仪测定米粉条表面黏性的方法研究[J]. 河南工业大学学报(自然科学版), 2020, 41(2): 13-18.
[6] 符秀敏. 明胶软糖的质构仪分析与感官评定研究[J]. 中国食物与营养, 2019, 25(5): 33-36.
[7] BEHIC Mert, DAVID Gonzalez, OSVALDO H Campanella. A new method to determine viscoelastic properties of corn grits during cooking and drying[J]. Journal of Cereal Science, 2006, 46(1): 32-38.
[8] 孙钟雷, 孙永海, 李宇, 等. 仿生食品质构仪设计与试验[J]. 农业机械学报, 2012, 43(1): 230-234.
[9] 张佳程. 食品质地学[M]. 北京: 中国轻工业出版社, 2010: 16-23.
[10] JOHN J C. 机器人学导论[M]. 贠超, 王伟, 译. 北京: 机械工业出版社, 2018: 23-70.
[11] 高红卫, 魏宏波, 鲁开讲. 并联机器人模型参考变结构控制研究[J]. 应用力学学报, 2020, 37(4): 1 590-1 596, 1 862-1 863.
[12] 梅莱 J P. 并联机器人[M]. 黄远灿, 译. 北京: 机械工业出版社, 2014: 62-72.
[13] BISHOP R H. Learning with labview 7 express[M]. Upper Saddle River: Prentice Hall College Div, 2003: 1-5.