Numerical investigation of heat and mass transfer behavior of freeze drying of milk in vial

Srinivasan, G.; Muneeshwaran, M.; Raja, B.

doi:10.1007/s00231-018-02538-1

Cited by 14 publications

(6 citation statements)

References 14 publications

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“…Validated pyhsico-chemical process models deepen process knowledge because they describe the separated physical effects by a coupled mass and energy balance. For Lyophilization, a broad range of models has been developed [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. In combination, PAT and modeling can result in advanced autonomous process control, and real-time release testing can be the final benefit.…”

Section: Quality By Design In Lyophilizationmentioning

confidence: 99%

Advanced Process Analytical Technology in Combination with Process Modeling for Endpoint and Model Parameter Determination in Lyophilization Process Design and Optimization

Juckers

Knerr²,

Harms³

et al. 2021

Processes

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Lyophilization is widely used in the preservation of thermolabile products. The main shortcoming is the long processing time. Lyophilization processes are mostly based on a recipe that is not changed, but, with the Quality by Design (QbD) approach and use of Process Analytical Technology (PAT), the process duration can be optimized for maximum productivity while ensuring product safety. In this work, an advanced PAT approach is used for the endpoint determination of primary drying. Manometric temperature measurement (MTM) and comparative pressure measurement are used to determine the endpoint of the batch while a modeling approach is outlined that is able to calculate the endpoint of every vial in the batch. This approach can be used for process development, control and optimization.

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Section: Quality By Design In Lyophilizationmentioning

confidence: 99%

Advanced Process Analytical Technology in Combination with Process Modeling for Endpoint and Model Parameter Determination in Lyophilization Process Design and Optimization

Juckers

Knerr²,

Harms³

et al. 2021

Processes

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“…These kind of calculation is already used in commercial simulation software, e.g., in the COMSOL Multiphysics ® Software. This software has already been used in modeling of lyophilization [74].…”

Section: Energy Balancementioning

confidence: 99%

Digital Twin for Lyophilization by Process Modeling in Manufacturing of Biologics

Klepzig

Juckers

Knerr³

et al. 2020

Processes

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Lyophilization stabilizes formulated biologics for storage, transport and application to patients. In process design and operation it is the link between downstream processing and with final formulation to fill and finish. Recent activities in Quality by Design (QbD) have resulted in approaches by regulatory authorities and the need to include Process Analytical Technology (PAT) tools. An approach is outlined to validate a predictive physical-chemical (rigorous) lyophilization process model to act quantitatively as a digital twin in order to allow accelerated process design by modeling and to further-on develop autonomous process optimization and control towards real time release testing. Antibody manufacturing is chosen as a typical example for actual biologics needs. Literature is reviewed and the presented procedure is exemplified to quantitatively and consistently validate the physical-chemical process model with aid of an experimental statistical DOE (design of experiments) in pilot scale.

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“…The simulation results of products can be extended to deformable foods to minimize the exposure time required for the pre‐defined final moisture content. Srinivasan et al (2019) numerically investigated the transient heat and mass transfer behavior of the freeze‐drying process of milk in a vial. Studies have shown that the heat transfer coefficient of the sample vial depends largely on the chamber pressure; however, the shelf temperature has little effect.…”

Section: Introductionmentioning

confidence: 99%

“…To improve vacuum drying unit could be focused on the drying process itself and could be optimized of operating conditions such as chamber pressure and temperature. (Srinivasan et al, 2019; Wang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of heat mass performances for freeze drying of mint leaves

Kovacı

Dikmen

Şahin

2022

Food Processing Preservation

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Mint leaves are one of the most used medicinal and aromatic plants in the world, having a wide range of minerals and vitamins. It is necessary to prevent nutrient content and quality loss during the drying of the leaves. This study aimed to perform the drying of mint leaves and to experimentally specified the effective diffusion coefficient, activation energy, and heat and mass transfer coefficients values throughout the drying process. Mint leaves were dried using a laboratory‐scale dryer with three different drying temperatures (30, 40, and 50°C) and three different chamber pressures (50, 60, and 70 kPa). As a result, heat transfer coefficients varied from 0.3347 to 0.3353 W/m2K, and mass transfer coefficients varied from 3.33 × 10−10 to 2.27 × 10−9 m/s for different drying conditions. The effective moisture diffusivity during drying varied from 5.01 × 10−14 to 4.80 × 10−13 m2/s. The activation energy for mint leaves during drying varied from 79.07 to 76.44 kJ/mol at different drying temperatures. Practical applications Drying is an energy‐intensive process that involves simultaneous heat and mass transfer. In this study, the heat and mass transfer coefficients of mint leaves at different drying temperatures and pressures were studied. In order to optimize the drying process, the heat and mass parameters of the product must be fully understood. Understanding these parameters can easily provide a basis for designing dryers with the best energy saving.

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Numerical investigation of heat and mass transfer behavior of freeze drying of milk in vial

Cited by 14 publications

References 14 publications

Advanced Process Analytical Technology in Combination with Process Modeling for Endpoint and Model Parameter Determination in Lyophilization Process Design and Optimization

Advanced Process Analytical Technology in Combination with Process Modeling for Endpoint and Model Parameter Determination in Lyophilization Process Design and Optimization

Digital Twin for Lyophilization by Process Modeling in Manufacturing of Biologics

Evaluation of heat mass performances for freeze drying of mint leaves

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