Prediction of porosity of food materials during drying: Current challenges and directions

被引:39
作者
Joardder, Mohammad U. H. [1 ,2 ]
Kumar, C. [1 ]
Karim, M. A. [1 ]
机构
[1] Queensland Univ Technol, Fac Engn & Sci, Brisbane, Qld 4001, Australia
[2] Rajshahi Univ Engn & Technol, Dept Mech Engn, Rajshahi, Bangladesh
关键词
Pore formation; drying conditions; food properties; porosity prediction models; microstructure; GLASS-TRANSITION; SOFT MATTER; SHRINKAGE; COLLAPSE; DENSITY; MODEL; MICROSTRUCTURE; REHYDRATION; TEMPERATURE; QUALITY;
D O I
10.1080/10408398.2017.1345852
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Pore formation in food samples is a common physical phenomenon observed during dehydration processes. The pore evolution during drying significantly affects the physical properties and quality of dried foods. Therefore, it should be taken into consideration when predicting transport processes in the drying sample. Characteristics of pore formation depend on the drying process parameters, product properties and processing time. Understanding the physics of pore formation and evolution during drying will assist in accurately predicting the drying kinetics and quality of food materials. Researchers have been trying to develop mathematical models to describe the pore formation and evolution during drying. In this study, existing porosity models are critically analysed and limitations are identified. Better insight into the factors affecting porosity is provided, and suggestions are proposed to overcome the limitations. These include considerations of process parameters such as glass transition temperature, sample temperature, and variable material properties in the porosity models. Several researchers have proposed models for porosity prediction of food materials during drying. However, these models are either very simplistic or empirical in nature and failed to consider relevant significant factors that influence porosity. In-depth understanding of characteristics of the pore is required for developing a generic model of porosity. A micro-level analysis of pore formation is presented for better understanding, which will help in developing an accurate and generic porosity model.
引用
收藏
页码:2896 / 2907
页数:12
相关论文
共 59 条
[1]   Predicting the quality of dehydrated foods and biopolymers - Research needs and opportunities [J].
Achanta, S ;
Okos, MR .
DRYING TECHNOLOGY, 1996, 14 (06) :1329-1368
[2]   PERSPECTIVE ON THE GLASS-TRANSITION [J].
ANGELL, CA .
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS, 1988, 49 (08) :863-871
[3]  
[Anonymous], 1983, CALCULATION THERMOPH
[4]  
[Anonymous], WORLD AUT C WAC 2010
[5]  
[Anonymous], 20 INT DRYING S GIF
[6]  
[Anonymous], OSMOTIC DEHYDRATION
[7]  
[Anonymous], INT C MECH IND MAT E
[8]  
[Anonymous], J FOOD SCI
[9]  
[Anonymous], TUNNEL DEHYDRATORS F
[10]  
[Anonymous], DRYING 2004 P 14 INT