Narushin, Valeriy G., Volkova, Natalia A., Vetokh, Anastasia N., Dzhagaev, Alan Yu., Sotnikov, Danila A., Volkova, Ludmila A., Orszulik, Stefan T., Griffin, Darren K., Romanov, Michael N., Zinovieva, Natalia A. and others. (2024) Reimagining Archimedes: An innovative and accurate calculation of volumes and asserting another standard method for defining the surface area of quail and any avian eggs. Food and Bioproducts Processing, 147 (Sept.). pp. 327-334. ISSN 0960-3085. E-ISSN 1744-3571. (doi:10.1016/j.fbp.2024.07.013) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:106686)
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Official URL: https://doi.org/10.1016/j.fbp.2024.07.013 |
Abstract
Egg-related research promises unique opportunities for food science and technology. There is an urgent need to develop non-destructive methodologies for defining key egg parameters, e.g., egg volume (V) and surface area (S), based only on egg images. Herewith, V can be measured using the Archimedes’ principle (i.e., dipping in water), while S can be inferred using formulae that include V as one of its variables. Although the Archimedes’ principle is the best approach for determining V, dipping an egg into water cannot be practicable. In this study, we derived the appropriate mathematical approaches to calculate V and S based on measurements of quail eggs’ linear parameters. The proposed calculation formulae are suitable for eggs of any shape and species. This innovative procedure can be employed as the basis of the most accurate of all existing methods for computing S and is suitable for both analytical and industrial measurements of V.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.fbp.2024.07.013 |
Uncontrolled keywords: | Japanese quail eggs; Egg quality; Egg volume; Egg surface area; Topology; Non-destructive testing technology |
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 |
Depositing User: | Mike Romanov |
Date Deposited: | 25 Jul 2024 08:28 UTC |
Last Modified: | 27 Aug 2024 08:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106686 (The current URI for this page, for reference purposes) |
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