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A simulation-based insight into the interrelationships between density and other physical parameters of the egg

Narushin, Valeriy G., Kent, John P., Salamon, Attila, Romanov, Michael N., Griffin, Darren K. (2023) A simulation-based insight into the interrelationships between density and other physical parameters of the egg. Journal of Food Engineering, 358 . Article Number 111679. ISSN 0260-8774. E-ISSN 1873-5770. (doi:10.1016/j.jfoodeng.2023.111679) (KAR id:102310)

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A bird's egg has a variety of distinct physical characteristics that assure its functionality as a naturally engineered ‘packaging’ for the growing embryo. It also contains essential nutrients for human food. Egg density (D) is one such crucial physical parameter frequently involved in studies pertaining to its interrelationship with the quality of both table and hatching eggs. In this investigation, we conducted more in-depth experiments based on theoretical research and simulation modelling methods. This specifically involved the possible use of D to predict the values of other egg parameters. The theoretically derived equation for D enabled us to reduce a number of parameters that affect the value of D. Herewith, we suggested that it would be more suitable for planning experiments and promising for studying eggs of various bird species to use parameter ratios rather than their original values. On the basis of simulation methods, we generated and analyzed an extensive database of ‘virtual’ chicken eggs that included all possible variations of the parameters from the proposed D equation. We established that the most influential factor on D is the density of egg interior (Di) and the most predictable parameter by the D value is the shell thickness (T). Approximation of the obtained data on the dependence of T on D led to a prediction accuracy of R = 0.68. We also demonstrated that the ratio Di/D was more dependent on the ratio of shell volume to whole egg volume and can be a very promising criterion for developing a new avenue of research on pre-incubational sorting of eggs. To refine the accuracy of prediction using this criterion, a further development of more efficient and precise methods for non-destructive measurement of T and Ds will be required.

Item Type: Article
DOI/Identification number: 10.1016/j.jfoodeng.2023.111679
Uncontrolled keywords: Simulation modelling; Egg quality; Egg parameters; Egg density; Egg specific gravity, Non-destructive testing
Subjects: Q Science > QA Mathematics (inc Computing science)
Q Science > QA Mathematics (inc Computing science) > QA440 Geometry
Q Science > QH Natural history > QH324.2 Computational biology
Q Science > QL Zoology
S Agriculture > SF Animal culture
Divisions: Divisions > Division of Natural Sciences > Centre for Interdisciplinary Studies of Reproduction
Divisions > Division of Natural Sciences > Biosciences
Signature Themes: Food Systems, Natural Resources and Environment
Funders: University of Kent (
Depositing User: Mike Romanov
Date Deposited: 02 Aug 2023 09:54 UTC
Last Modified: 27 Sep 2023 13:02 UTC
Resource URI: (The current URI for this page, for reference purposes)
Narushin, Valeriy G.:
Kent, John P.:
Salamon, Attila:
Romanov, Michael N.:
Griffin, Darren K.:
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