2008
DOI: 10.1016/j.jfoodeng.2007.06.011
|View full text |Cite
|
Sign up to set email alerts
|

A three-dimensional numerical simulation of the osmotic dehydration of mango and effect of freezing on the mass transfer rates

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
22
0
3

Year Published

2013
2013
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 37 publications
(25 citation statements)
references
References 24 publications
0
22
0
3
Order By: Relevance
“…Only one research could find a linear relationship between WL and SG at low and intermediate dehydration degrees, but no general correlation was developed (Floury et al . ).…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…Only one research could find a linear relationship between WL and SG at low and intermediate dehydration degrees, but no general correlation was developed (Floury et al . ).…”
Section: Resultsmentioning
confidence: 97%
“…Most of these papers compare their results against data from the literature for similar food systems, but normally processed under different operation conditions, and in no case general correlations are given for the variation of process variables during OD (Floury et al . ). In this regard, it is very important to try to develop general relations between those food variables relevant to the OD process (WC and SS, weight reduction [WR], water loss [WL] and soluble solids gain [SG]), independent of product characteristics and process conditions.…”
Section: Introductionmentioning
confidence: 97%
“…Finite Element (FE) models were successfully used to study the mass transport in many food during baking, freezing, ripening and drying process (Lemus-Mondaca et al, 2013;Mirade, 2008;Floury et al, 2008;Sakin et al, 2007). As concerning the salami ripening, Cevoli et al (2014) salami ripening process and successive storage in package, while Rizzi (2003) and Grassi and Montanari (2005), developed two parametric models for the fluid dynamic simulation of ascending flow in the ripening chambers as function of environmental parameters (temperature and air velocity).…”
Section: Introductionmentioning
confidence: 99%
“…As reported in many specific reviews, the recent progress in computing efficiency coupled with reduced costs of codes has set out the numerical simulation as a powerful tool to study many food processes with the aim of providing effective and efficient plant design or operating solutions (Scott and Richardson, 1997;Xia and Sun, 2002;Wang and Sun, 2003;Norton and Sun, 2006;Smale et al, 2006;Verboven et al, 2006;Mirade, 2008). In this regard, the numerical simulation was used to study the mass transfer in various foods during drying, baking, freezing and ripening (Mirade, 2008;Sakin et al, 2007;Lemus-Mondaca et al, 2013;Floury et al, 2008).…”
Section: Introductionmentioning
confidence: 99%