Differential Scanning Calorimetry Data and Solubility of Rosmarinic Acid in Different Pure Solvents and in Binary Mixtures (Methyl Acetate + Water) and (Ethyl Acetate + Water) from 293.2 to 313.2 K

2016 ◽  
Vol 61 (11) ◽  
pp. 3718-3723 ◽  
Author(s):  
Abdelkarim Aydi ◽  
Carlos Alberto Claumann ◽  
André Wüst Zibetti ◽  
Manef Abderrabba
Keyword(s):  
Differential Scanning Calorimetry ◽  
Ethyl Acetate ◽  
Binary Mixtures ◽  
Rosmarinic Acid ◽  
Methyl Acetate ◽  
Differential Scanning Calorimetry Data ◽  
Scanning Calorimetry ◽  
Calorimetry Data

Analysis of aluminium brazing sheet differential scanning calorimetry data

2017 ◽  
Vol 5 (3) ◽  
pp. 172
Author(s):  
Sooky Winkler ◽  
Alexander Penlidis ◽  
Stephen F. Corbin ◽  
Mary A. Wells ◽  
Michael J. Benoit ◽  
...  
Keyword(s):  
Differential Scanning Calorimetry ◽  
Differential Scanning Calorimetry Data ◽  
Scanning Calorimetry ◽  
Calorimetry Data

Thermodynamics of the Double Helix-Coil Equilibrium in Tetramethylammonium Gellan: High-Sensitivity Differential Scanning Calorimetry Data

2003 ◽  
Vol 3 (34) ◽  
pp. 169-178 ◽  
Author(s):  
Valerij Ya. Grinberg ◽  
Tatiana V. Burova ◽  
Natalia V. Grinberg ◽  
Alexander Ya. Mashkevich ◽  
Irina G. Plashchina ◽  
...  
Keyword(s):  
Differential Scanning Calorimetry ◽  
Double Helix ◽  
High Sensitivity ◽  
Differential Scanning Calorimetry Data ◽  
Scanning Calorimetry ◽  
Calorimetry Data

scholarly journals Engineering Taste

2011 ◽  
Vol 133 (01) ◽  
pp. 30-33
Author(s):  
Peter Fryer ◽  
Serafim Bakalis
Keyword(s):  
Mathematical Model ◽  
Experimental Study ◽  
Differential Scanning Calorimetry ◽  
Differential Scanning Calorimetry Data ◽  
Scanning Calorimetry ◽  
Cooling Rates ◽  
Crystal Forms ◽  
Temperature Changes ◽  
The University ◽  
Calorimetry Data

This article discusses a study focusing on developing a mathematical model for creating and modifying the structure of chocolates. In the experimental study at the University of Birmingham's Centre for Formulation Engineering, researchers cooled and heated chocolate through rapid programmed temperature changes and then studied what happened using differential scanning calorimetry. The data was fitted to six kinetic processes. To make the modeling easier, the system of six polymorphs and liquid chocolate was simplified to model only three materials: stable solids, unstable solids, and melt. Then equations were developed to describe the nucleation of crystals, growth of stable and unstable phases, and the melting of the stable and unstable solids. The model developed simplifies the number of crystal forms, but this simplification makes it possible to model differential scanning calorimetry data. Once fitted to differential scanning calorimetry data over a range of cooling rates, the model can then be used both to predict behavior and to explain what is happening in the process. The model can be used to show how ‘frozen cone’ methods work.

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