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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/9187
Title: Mathematical models for prediction of rheological parameters of pineapple juice
Authors: Dak M.
Verma R.C.
Jain, Manoj Kumar
Published in: International Journal of Food Engineering
Abstract: Rheological characteristics of pineapple juice have been investigated and rheological parameters were evaluated using rotational viscometer at temperatures 20, 30 and 40*C at concentration 26.77, 18.99 and 14 % total solids. The experimental results followed the power law model for the best fit and the values of flow behaviour index (n) was less than unity (0.08 to 0.87) at all temperatures and concentrations indicating the shear thinning (pseudoplasticity) nature of juice. An obvious correlation between consistency coefficient in the range of 0.1 - 37.16 Pa.sn and inverse absolute temperature has been exhibited by Arrhenius model. The Power equation indicated that the consistency coefficient increased non-linearly with an increase in concentration. Mathematical models were developed for prediction of the consistency coefficient as a function of temperature and concentration. A good agreement was observed between experimental and theoretical values of the consistency coefficient predicted by models. The magnitude of activation energy was found to be in the range of 3.67 to 4.62 kJ/mol.K. Copyright ©2008 The Berkeley Electronic Press. All rights reserved.
Citation: International Journal of Food Engineering (2008), 4(3): -
URI: https://doi.org/10.2202/1556-3758.1285
http://repository.iitr.ac.in/handle/123456789/9187
Issue Date: 2008
Publisher: Walter de Gruyter GmbH
Keywords: Activation energy
Apparent viscosity
Consistency coefficient
Flow behaviour index
Rheology
Shear rate
Shear-thinning
ISSN: 15563758
Author Scopus IDs: 13102819200
35618034000
56226587200
Author Affiliations: Dak, M., Post Harvest Technology Division, IARI New Delhi
Verma, R.C., Department of Processing and Food Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, India
Jain, M.K., Department of Computer Science, M. L. Sukhadia University Udaipur
Corresponding Author: Dak, M.; Post Harvest Technology Division, IARI New DelhiIndia; email: manish_mpuat@yahoo.com
Appears in Collections:Journal Publications [HY]

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