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Applicability of Time‐Temperature Indicators as Shelf Life Monitors of Food Products
Abstract
A systematic approach that allows the correlation of the response of a Time‐Temperature Indicator (TTI) to the consumed and remaining shelf life of a food product exposed to the same variable temperature conditions was developed. The approach was based on kinetic principles and is applicable to a TTI‐food system without necessitating side by side testing. The applicability of three major TTI types to the developed scheme was studied. Experiments under several isothermal conditions were conducted and kinetic parameters for the three TTI were determined. All TTI showed an Arrhenius temperature dependence and their calculated activation energies ranged from 10 to 40 kcal/mol.
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Cited by
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Han, J., Ruiz‐Garcia, L., Qian, J., & Yang, X. (2018) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12343 · Cited by 811
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Van Boekel, M. A. J. S. (2008) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/j.1541-4337.2007.00036.x · Cited by 579
A dynamic product quality evaluation based pricing model for perishable food supply chains
Wang, X., & Li, D. (2012) · Omega · doi:10.1016/j.omega.2012.02.001 · Cited by 329
Reducing food losses by intelligent food logistics
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Metadata
- Authors
- TAOUKIS, P. S., & LABUZA, T. P.
- Venue
- Journal of Food Science
- Publisher
- Wiley
- Published
- 1989-07
- Volume
- 54
- Issue
- 4
- Pages
- 783-788
- ISSN
- 0022-1147 (ISSN-L)
- 1750-3841
- OpenAlex
- W2090336762
- Cited by
- 387
- References
- 0
- FWCI
- 12.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- TAOUKIS, P. S., & LABUZA, T. P. (1989). Applicability of Time‐Temperature Indicators as Shelf Life Monitors of Food Products. Journal of Food Science. https://doi.org/10.1111/j.1365-2621.1989.tb07882.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
