Cysewski, Piotr et al. published their research in Fluid Phase Equilibria in 2021 |CAS: 144-80-9

The Article related to solubility sulfanilamide sulfacetamide solvent theor model artificial neural network, Phase Equilibriums, Chemical Equilibriums, and Solutions: Nonelectrolytic Solutions and other aspects.Application In Synthesis of N-((4-Aminophenyl)sulfonyl)acetamide

On February 1, 2021, Cysewski, Piotr; Jelinski, Tomasz; Procek, Dominika; Dratwa, Aleksandra published an article.Application In Synthesis of N-((4-Aminophenyl)sulfonyl)acetamide The title of the article was Solubility of Sulfanilamide and Sulfacetamide in neat solvents: Measurements and interpretation using theoretical predictive models, first principle approach and artificial neural networks. And the article contained the following:

Solubilities of Sulfanilamide and Sulfacetamide in neat solvents were both measured and collected from the literature. The set comprising 35 systems was interpreted in terms of the empirical and semi-empirical predictive models including Buchowski-Ksiazczak model (λh-equation), extended Buchowski’s model (λβ-equation), modified Apelblat equation, van’t Hoff-Yaws model, Non-Random Two Liquid (NRTL) model, Wilson model and the Weibull two-parameter extrapolation model. The advantage of corrected Akaike information criterion was used for precise quantification of the quality of each model. It turned out that the lowest values of this measure were found for the Buchowski-Ksiazczak approach indicating the best correlation with exptl. solubility data. Interestingly, λβ-equation and van’t Hoff-Yaws model give a fitting of almost the same quality but were slightly less accurate compared to λh-equation. The results of applied COSMO-RS computations suffered seriously from inaccuracies providing only a qual. guess of solubility Hence, machine learning procedure was applied for building a non-linear fully predictive model. The set of used mol. descriptors comes from COSMO-RS computations and characterizes intermol. interactions in pure solvents. Based on the quality of obtained machine learning model it is possible to confirm that the selected set of descriptors can be used for solubility modeling and carries the most important information necessary for quantifying of saturated solutions The experimental process involved the reaction of N-((4-Aminophenyl)sulfonyl)acetamide(cas: 144-80-9).Application In Synthesis of N-((4-Aminophenyl)sulfonyl)acetamide

The Article related to solubility sulfanilamide sulfacetamide solvent theor model artificial neural network, Phase Equilibriums, Chemical Equilibriums, and Solutions: Nonelectrolytic Solutions and other aspects.Application In Synthesis of N-((4-Aminophenyl)sulfonyl)acetamide

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics