Mathematical Modelling of In Vitro Cinnamaldehyde Controlled Release via Computational Fluid Dynamic

ABSTRACT Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields. To understand the mechanism of cinnamon flavour release as a fundamental step in its flavour perception from high‐amylose corn star...

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Published inFlavour and fragrance journal Vol. 40; no. 1; pp. 7 - 20
Main Authors Samanian, Narges, Razavi, Seyed Mohammad Ali, Mohebbi, Mohebbat, Esfahani, Javad Abolfazli, Varidi, Mehdi
Format Journal Article
LanguageEnglish
Published Chichester Wiley Subscription Services, Inc 01.01.2025
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Online AccessGet full text
ISSN0882-5734
1099-1026
DOI10.1002/ffj.3811

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Abstract ABSTRACT Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields. To understand the mechanism of cinnamon flavour release as a fundamental step in its flavour perception from high‐amylose corn starch microcapsules, the release of cinnamaldehyde under in vitro mouth conditions was studied using a 3D numerical model. Additionally, predicting cinnamaldehyde release in all three phases simultaneously was developed in COMSOL Multiphysics 5.6. To validate the developed model, cinnamaldehyde release profiles were prepared under simulated mouth conditions using headspace analysis by the SPME‐GC–MS procedure. High R2 (0.997) and low RMSE (1.78E‐06) values, along with good convergence results, confirmed this simulation as a precise numerical model. The effects of cinnamaldehyde initial load, cinnamaldehyde diffusivity and shear rate were also probed, revealing the model to be more sensitive to the microcapsules' properties. This study provides a valuable framework for designing controlled release systems for flavouring agents, with significant implications for food and nutraceutical industries. Computational fluid dynamics was used to simulate flavour release. 3D simulation draws a realistic picture of cinnamaldehyde controlled release. Using simulation data facilitates innovative design to answer consumers' demands.
AbstractList Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields. To understand the mechanism of cinnamon flavour release as a fundamental step in its flavour perception from high‐amylose corn starch microcapsules, the release of cinnamaldehyde under in vitro mouth conditions was studied using a 3D numerical model. Additionally, predicting cinnamaldehyde release in all three phases simultaneously was developed in COMSOL Multiphysics 5.6. To validate the developed model, cinnamaldehyde release profiles were prepared under simulated mouth conditions using headspace analysis by the SPME‐GC–MS procedure. High R 2 (0.997) and low RMSE (1.78E‐06) values, along with good convergence results, confirmed this simulation as a precise numerical model. The effects of cinnamaldehyde initial load, cinnamaldehyde diffusivity and shear rate were also probed, revealing the model to be more sensitive to the microcapsules' properties. This study provides a valuable framework for designing controlled release systems for flavouring agents, with significant implications for food and nutraceutical industries.
Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields. To understand the mechanism of cinnamon flavour release as a fundamental step in its flavour perception from high‐amylose corn starch microcapsules, the release of cinnamaldehyde under in vitro mouth conditions was studied using a 3D numerical model. Additionally, predicting cinnamaldehyde release in all three phases simultaneously was developed in COMSOL Multiphysics 5.6. To validate the developed model, cinnamaldehyde release profiles were prepared under simulated mouth conditions using headspace analysis by the SPME‐GC-MS procedure. High R² (0.997) and low RMSE (1.78E‐06) values, along with good convergence results, confirmed this simulation as a precise numerical model. The effects of cinnamaldehyde initial load, cinnamaldehyde diffusivity and shear rate were also probed, revealing the model to be more sensitive to the microcapsules' properties. This study provides a valuable framework for designing controlled release systems for flavouring agents, with significant implications for food and nutraceutical industries.
Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields. To understand the mechanism of cinnamon flavour release as a fundamental step in its flavour perception from high‐amylose corn starch microcapsules, the release of cinnamaldehyde under in vitro mouth conditions was studied using a 3D numerical model. Additionally, predicting cinnamaldehyde release in all three phases simultaneously was developed in COMSOL Multiphysics 5.6. To validate the developed model, cinnamaldehyde release profiles were prepared under simulated mouth conditions using headspace analysis by the SPME‐GC–MS procedure. High R2 (0.997) and low RMSE (1.78E‐06) values, along with good convergence results, confirmed this simulation as a precise numerical model. The effects of cinnamaldehyde initial load, cinnamaldehyde diffusivity and shear rate were also probed, revealing the model to be more sensitive to the microcapsules' properties. This study provides a valuable framework for designing controlled release systems for flavouring agents, with significant implications for food and nutraceutical industries.
ABSTRACT Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields. To understand the mechanism of cinnamon flavour release as a fundamental step in its flavour perception from high‐amylose corn starch microcapsules, the release of cinnamaldehyde under in vitro mouth conditions was studied using a 3D numerical model. Additionally, predicting cinnamaldehyde release in all three phases simultaneously was developed in COMSOL Multiphysics 5.6. To validate the developed model, cinnamaldehyde release profiles were prepared under simulated mouth conditions using headspace analysis by the SPME‐GC–MS procedure. High R2 (0.997) and low RMSE (1.78E‐06) values, along with good convergence results, confirmed this simulation as a precise numerical model. The effects of cinnamaldehyde initial load, cinnamaldehyde diffusivity and shear rate were also probed, revealing the model to be more sensitive to the microcapsules' properties. This study provides a valuable framework for designing controlled release systems for flavouring agents, with significant implications for food and nutraceutical industries. Computational fluid dynamics was used to simulate flavour release. 3D simulation draws a realistic picture of cinnamaldehyde controlled release. Using simulation data facilitates innovative design to answer consumers' demands.
Author Razavi, Seyed Mohammad Ali
Varidi, Mehdi
Mohebbi, Mohebbat
Samanian, Narges
Esfahani, Javad Abolfazli
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Snippet ABSTRACT Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and...
Cinnamon is widely recognised for its distinct flavour and potential health benefits, making it an important subject of study in food and nutraceutical fields....
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SubjectTerms Amylose
Cinnamaldehyde
cinnamon
Controlled release
corn starch
Depth perception
dietary supplements
diffusivity
encapsulation
flavor
Flavors
flavour release
fluid mechanics
Food industry
Functional foods & nutraceuticals
Headspace
headspace analysis
Load distribution
mass transfer
Mathematical models
Microcapsules
Mouth
Numerical models
numerical simulation
odors
Shear rate
Title Mathematical Modelling of In Vitro Cinnamaldehyde Controlled Release via Computational Fluid Dynamic
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fffj.3811
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https://www.proquest.com/docview/3154258268
Volume 40
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