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Original Articles

LITERATURE DATA OF THERMAL CONDUCTIVITY OF FOODSTUFFS

Pages 63-111 | Received 12 Aug 2000, Accepted 29 Sep 2001, Published online: 06 Feb 2007

ABSTRACT

Published data on thermal conductivity of food materials are selected from the literature and organized into a database. Useful information concerning both the characteristics of the database, and statistics of the included data are presented.

INTRODUCTION

Thermal conductivity is one of the primary thermophysical properties needed in food process design and optimization. Although highly desirable, a generic model to predict the thermal conductivity of the foods does not exist (1). On the other hand the available literature data are scarce (2).

In recent review papers literature data are selected and analyzed (2) and a parallel structural model (also taking into account the temperature effect) was fitted to all literature data compiled for selected food materials (3).

The original data used in the above papers were organized into a data base and presented here. They can be used in research to validate structural models and to develop generic models to predict thermal conductivity of foods.

DATA

An exhaustive literature search was made in the most popular food engineering and food science journals during the recent years as follows (2):

Drying Technology, 1983–1999

Journal of Food Science, 1981–1999

International Journal for Food Science and Technology, 1988–1999

Journal of Food Engineering, 1983–1999

Transactions of the ASAE, 1975–1999

International Journal of Food Properties, 1998–2000

A total number of 146 papers were retrieved from the above journals. The corresponding citations are presented in Krokida et al. Citation[2].

DATABASE DESCRIPTION

The selected data were organized into a database developed in Excel. Every record in the database includes the following fields:

Category: The food category

Material: The material name

Species: More characteristics of the material

Thermal Conductivity: The measured value of the diffusivity

Moisture Content: The corresponding material moisture content

Temperature: The corresponding material temperature

Method: The method of measurement

Type: The presentation format of the data, e.g. values, equations, graphs

Citation: The paper from which the data are retrieved

Table presents all the available records of the database. The details of the references are given by Krokida et al. (2).

Database of Thermal Conductivity Data [List of Reference is Given by Krokida et al. (2).]

STATISTICS

Some statistics of the available data are summarized in Tables .

Number of Data for Each Material

Number of Data for Each Food Category

Number of Data for Each Presentation Format of the Data

Number of Data for Each Method of Experimental Measurement

CONCLUSION

Literature data of thermal conductivity of foods were organized into a data base and presented. They can be used in research to validate structural models and to develop generic models to predict thermal conductivity of foods.

Acknowledgments

REFERENCES

  • Chen , X.D. , Xie , G.Z. and Rahman , M.S. 1998 . Application of the Distribution Factor Concept in Correlating Thermal Conductivity Data for Fruits and Vegetables . International Journal of Food Properties , 1 ( 1 ) : 35 – 44 .
  • Krokida , M.K. , Panagiotou , N.M. , Maroulis , Z.B. and Saravacos , G.D. 2001 . Thermal Conductivity: Literature Data Compilation for Foodstuffs . International Journal of Food Properties , 4 ( 1 ) : 111 – 140 .
  • Maroulis , Z.B. , Saravacos , G.D. , Krokida , M.K. and Panagiotou , N.M. 2001 . Thermal Conductivity Prediction for Foodstuffs: Effect of Moisture Content and Temperature . International Journal of Food Properties , (in press)

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