Sulfo-NHS-SS-Biotin Experimental errors should be analyze si

Experimental errors should be analyze since they could justify the deviation between predicted and experimental data. Error experimental for solubility data in ternary and quaternary systems were not reported in detail (for each point) in most solubility data sources used in our work. Excluding the ferulic Sulfo-NHS-SS-Biotin data, the mean deviations values reported ranged from 3 to 15%. The maximum experimental error was verified for the paracetamol solubility [39]. In this way, the error values does not show relevant to justify the deviation between the experimental and calculated data for solubility of the solutes in the CO2 and cosolvent mixtures. Because the ternary solubilities of solids in systems containing cosolvents are complex functions of temperature, pressure and cosolvent/cosolute composition [13], it is essential to study the influence of variables, such as temperature, pressure, concentration and type of cosolvent, and number of associating sites of the solute, on the results.
Conclusions
Introduction Utilization of amino acid solutions is highly significant in many industrial and biological processes such as applicability of these substances as constituent of pharmaceutical products and food additives. Therefore, the investigations in biotechnology have obtained lots of attentions to develop a chemical process for separation and purification of amino acids which are the simplest structures among plenty of bio-chemicals, and are so similar with complex bio-chemicals [1]. Thus, an accurate explanation of thermodynamic properties of bio-products like amino acids is so essential for designing and scaling up the chemical and bio-separation processes, and is indispensable for getting knowledge of phase equilibria. During recent years, two primary types of models have been applied for calculating various thermodynamic properties of amino acid solutions, i.e. excess Gibbs energy (gE) models used numerously to describe the solubility of amino acid solutions, and equations of state (EOS) models appropriate to obtain density, vapor pressure, enthalpy, etc. One of the preliminary endeavors for giving a distinguished overview of both mentioned approaches was that of Khoshkbarchi and Vera [2]. The Wilson model [3], NRTL model [4], Pitzer model [5], and UNIFAC model [6], [7] are also so illustrative among the gE models which are utilized in amino acids calculations. These models have successfully presented their ability in variety of systems containing aqueous amino acids [8], [9], [10], [11], [12], [13], [14], [15], [16], [17]. For instance, Nass [8] described the solubility of various amino acids such as l-serine, l-threonine, and l-alanine through electrolyte NRTL model [4] by introducing equilibrium constants of amino acid ionic species. Likewise, Ferreira et al. [14] optimized NRTL parameters for correlating and predicting amino acids solubility in mixed water-alcohol solutions at different temperatures. Additionally, Gupta and Heidemann [10] made an effort to present a predictive model for the activity coefficients of amino acids via modified UNIFAC group contribution model [7].