Measuring the effects of in vitro mastication on bolus granulometry of shredded meat: A proposal for a new methodological procedure

被引:5
作者
Duconseille, Anne [1 ]
Francois, Olivier [1 ]
Bruno, Pereira [2 ]
Celine, Lambert [2 ]
Marie-Agnes, Peyron [3 ]
Martine, Hennequin [1 ,4 ]
机构
[1] Univ Clermont Auvergne, CROC, F-63000 Clermont Ferrand, France
[2] CHU Clermont Ferrand, Unite Biostat, DRCI, F-63000 Clermont Ferrand, France
[3] Univ Clermont Auvergne, CROC, INRA, CRNH Auvergne,UNH, F-63000 Clermont Ferrand, France
[4] CHU Clermont Ferrand, Serv Odontol, F-63003 Clermont Ferrand, France
关键词
Mastication; Meat; Bolus; Granulometry; Image analysis; Generalized linear models; PARTICLE-SIZE DISTRIBUTION; FOOD BOLUS; TENDERNESS;
D O I
10.1016/j.foodres.2018.10.014
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
People with poor oral status and/or neuromuscular deficiencies avoid eating meat because of chewing and swallowing difficulties. Consequently, they expose themselves to the risk of malnutrition and sarcopenia or nutrient deficiencies. To develop a new process for meat preparation, it is necessary to understand how meat is broken down during food oral processing to become a swallowable bolus. However, it is unknown whether the initial texture of meat impacts the meat bolus granulometry. As meat particles are fibrous, making the granulometry analysis with sieving methods is difficult. As the approach of meat bolus granulometry is necessary, it is of importance to control the methodological parameters that affect the measures. This study describes a procedure that allows granulometry analysis of shredded meat before and after in vitro mastication. Meat particles were dispersed in glycerol before image analysis. Granulometry curves were then drawn using generalized linear models, particle by particle, or after applying virtual sieves. Artificial meat bolus granulometry was also analyzed by manual sieving and the different methods were compared through several characteristics, including D-50. Image analysis in glycerol preserves meat particles and allows particle distribution characterization and shape descriptors analysis. This method is well adapted to shredded meat and could be performed to evaluate the mastication of meat preparations adapted for deficient mastication.
引用
收藏
页码:1266 / 1273
页数:8
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