Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Mathematical Modeling of Alpha-Tocopherol Early Degradation Kinetics to Predict the Shelf-Life of Bulk Oils
Date
2024-03-06
Author
Bayram, İpek
Parra-Escudero, Carlos
Decker, Eric A.
Lu, Jiakai
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
12
views
0
downloads
Cite This
The kinetics of lipid oxidation includes a lag phase followed by an exponential increase in oxidation products, which cause rancidity. Current models focus on the slope of this exponential curve for shelf-life estimation, which still requires the measurement of full oxidation kinetics. In this paper, we analyzed the formation of lipid oxidation products in stripped soybean oil containing different levels of alpha-tocopherol. The lag phases of lipid hydroperoxides and headspace hexanal formation were found to have a strong positive correlation with the alpha-tocopherol depletion time. We propose that the kinetics of antioxidant (alpha-tocopherol) depletion occur during the lag phase and could serve as an early shelf-life indicator. Our results showed that alpha-tocopherol degradation can be described by Weibull kinetics over a wide range of initial concentrations. Furthermore, we conducted in silico investigations using Monte Carlo simulations to critically evaluate the feasibility and sensitivity of the shelf-life prediction using early antioxidant degradation kinetics. Our results revealed that the shelf life of soybean oil may be accurately predicted as early as 20% of the overall shelf life. This innovative approach provides a more efficient and faster assessment of shelf life, ultimately reducing waste and enhancing product quality.
Subject Keywords
lipid oxidation
,
α-tocopherol
,
kinetic modeling
,
Weibull model
,
in-silico test
,
shelf life estimation
URI
https://hdl.handle.net/11511/112132
Journal
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
DOI
https://doi.org/10.1021/acs.jafc.3c08272
Collections
Department of Food Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. Bayram, C. Parra-Escudero, E. A. Decker, and J. Lu, “Mathematical Modeling of Alpha-Tocopherol Early Degradation Kinetics to Predict the Shelf-Life of Bulk Oils,”
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
, vol. 72, no. 9, pp. 4939–4946, 2024, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/112132.