Abstract

Saccharides are still commonly isolated from biological feedstock by crystallization from aqueous solutions. Precise thermodynamic data on solubility are essential to optimize the downstream crystallization process. Solubility modeling, in turn, requires knowledge of melting properties. In the first part of this work, following our previous work on amino acids and peptides, D-α-glucose, D-β-fructose, D-sucrose, D-α-galactose, and D-α-xylose were investigated with Fast Scanning Calorimetry (FSC) in a wide scanning rate range (2000 K·s−1 to 10000 K·s−1). Using the experimental melting properties of saccharides from FSC allowed successfully modeling aqueous solubility for D-sucrose and D-α-galactose with the equation of state PC-SAFT. This provides cross-validation of the measurement methods to determine accurate experimental melting properties with FSC. Unexpectedly, the experimental FSC melting temperatures, extrapolated to zero scanning rates for thermal lag correction, were higher than results determined with DSC and available literature data. To clarify this inconsistency, FSC measurements towards low scanning rates from 10000 K·s−1 to 1 K·s−1 (D-α-glucose, D-β-fructose, D-sucrose) overlapping with the scanning rates of DSC and literature data were combined. At scanning rates below 1000 K·s−1, the melting properties followed a consistent non-linear trend, observed in both the FSC and the literature data. In order to understand the non-linear decrease of apparent melting temperatures with decreasing heating rate, the endothermic peaks were investigated in terms of isoconversional kinetics. The activation energies in the non-linear dependency region are in the range of 300<{E}_{A}< 600 {text{kJ}}bullet {text{mo}}{text{l}}^{-1}. These values are higher than the enthalpy of sublimation for D-α-glucose, indicating that the non-linear behavior does not have a physical nature but attributes to chemical processes corresponding to the decomposition of molecular compounds within the crystal lattice before melting. The melting properties reported in the literature, commonly determined with conventional methods such as DSC, lead to inaccurate results due to the decomposition of these biomolecules at low heating rates. In addition, the FSC results at lower scanning rates coincide with results from DSC and literature in the overlapping scanning rate range, further validating the accuracy of FSC measurements to determine reliable melting properties of thermally labile biomolecules. The experimental FSC melting properties determined at higher scanning rates are considered as the correct equilibrium melting properties, which are not influenced by any chemical processes. The combination of FSC and PC-SAFT opens the door to model solubility of solid compounds that commonly decompose before melting.

Highlights

  • Saccharides, in general, are essential ingredients in foods, pharmaceutics, or cosmetics, and they are important for the food industry

  • The saccharides were measured with Fast Scanning Calorimetry (FSC) in a wide range of scanning rates from 2000 K·s−1 to 10000 K·s−1, and the experimental melting properties, extrapolated to zero scanning rates for thermal lag correction, were used as an input for the thermodynamic modeling framework PC-SAFT to model the aqueous solubility of the saccharides

  • The FSC results were compared to the “melting properties” determined with Differential Scanning Calorimetry (DSC) (10 K·min−1), as well as literature data

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Summary

Introduction

Saccharides, in general, are essential ingredients in foods, pharmaceutics, or cosmetics, and they are important for the food industry. The saccharides were measured with FSC in a wide range of scanning rates from 2000 K·s−1 to 10000 K·s−1, and the experimental melting properties, extrapolated to zero scanning rates for thermal lag correction, were used as an input for the thermodynamic modeling framework PC-SAFT to model the aqueous solubility of the saccharides. The FSC measured melting properties extrapolated to zero scanning rates for correction of the thermal lag were still higher than the DSC results. After melting the sample (heating segment #5), the following cooling segment is subdivided into a cooling segment at the maximum possible cooling rate (#6, 10000 K∙s−1) followed by cooling at 500 K∙s−1 (#7) This strategy effectively reduces chemical degradation and evaporation/sublimation of the sample at high temperatures and allows detection of the glass transition and the heat capacity of the deeply supercooled state from the first cooling scan (#7) [24]. The solubility model based on Eq (5) and (6) requires that the crystal structure of the pure compound and the solid compound in the equilibrium state do not change during the solubility measurement

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