scholarly journals Mathematical Approach for Estimation of Alginate-Iron Salt Solutions Viscosity at Various Solid Concentrations and Temperatures

2021 ◽  
Vol 9 (1) ◽  
pp. 75-87
Author(s):  
Indrasukma Permanadewi ◽  
Andri Cahyo Kumoro ◽  
Dyah Hesti Wardhani ◽  
Nita Aryanti

Alginate has been widely used in the pharmaceutical industries as tablet binder and disintegrant, release agent and controlled release drug delivery system. Whereas in the food industries, alginate is generally employed as thickener, emulsifier, stabilizer, texturizer, formulation aid, firming agent, flavor adjuvant, and surface-active agent. As one of the important raw materials in the functional food preparation, iron is hard to manage due to its vulnerability to oxidization, degradation and possesses a strong unique aroma. Considering its superior coating and release properties, alginate gel can be the best choice to preserve iron from various undesirable effects. Unfortunately, there has been lack information in the published literature to estimate the effect of temperature, concentration, and stirring time on the mechanical properties of alginate. Although many mathematical models have been developed based on these factors to predict the viscosity of the alginate-Fe solutions used as feed in spray drying application, no clear information have been reported for their accuracy. This study aims to examine four physical models for their suitability in estimating alginate-Fe solution viscosity, namely the Walther, Mark Houwink, Vogel – Tamman – Fulcher (VTF), and Intrinsic models. Prior to model validation, alginate-Fe solutions containing alginate: Fe (2:1) mass ratio were prepared. They were heated to desirable temperatures (30°, 45°, 60°, and 75°C), stirred for various stirring times (0 to 60 minutes), and subjected to viscosity measurement. The results exhibited that the viscosity of alginate-Fe solution with 5% alginate concentration stirred for 15 minutes at 30°C reached 320 cP. Whereas the viscosity of Alginate-Fe solution with 1% (m/m) concentration at the same temperature and stirring time was only 250 cP. This observation suggested that a higher alginate solution concentration leads to a higher the viscosity. As expected, a higher temperature and longer stirring time resulted in the decline of the Alginate-Fe solution viscosity. Although the proposed models demonstrated the similar trend, it can be concluded that the Walther model was proven to be the most accurate model used for the prediction of the Alginate-Fe solution viscosity compared to the other models as shown by its highest R2 value, which was 0.987.

2013 ◽  
Vol 827 ◽  
pp. 355-359
Author(s):  
Huan Hu ◽  
Ming Tao Zhou ◽  
Xu Dong Hu

Referring to the antifreeze improved test of cement-soil and combining with its own characteristics and functions of the ecological slope protection material, the paper selects palm fiber, silicon powder and surface active agent as the antifreeze raw materials to the ecological slope protection substrate. Based on the method of antifreeze on concrete, through the evaluation of relative dynamic elastic modulus and mass loss rates in the process of freeze-thaw cycles, the results show that the best composite antifreeze to improve the frost resistance property of the ecological slope protection substrate is that palm fiber: silicon powder: surface active agent=1:3:0.05. While the additive amount reaches 1.5% by weight of the dry ecological slope protection substrate, the best effect will be obtained.


Circulation ◽  
1966 ◽  
Vol 33 (4s1) ◽  
Author(s):  
YOSHIMASA MIYAUCHI ◽  
TAKAYUKI INOUE ◽  
BRUCE C. PATON

Pharmaceutics ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 996
Author(s):  
Niels Lasse Martin ◽  
Ann Kathrin Schomberg ◽  
Jan Henrik Finke ◽  
Tim Gyung-min Abraham ◽  
Arno Kwade ◽  
...  

In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.


1952 ◽  
Vol 44 (10) ◽  
pp. 2389-2393 ◽  
Author(s):  
P. L. Walker ◽  
E. E. Petersen ◽  
C. C. Wright

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