Use of Group Contribution Methods, Hansen’s Solubility Theory and Microsoft Excel in Solvents Selection for Extraction of Natural Products

Usually, Hansen’s theory and the COSMO continuous solvation models have been used for the selectionof solvents related to a solute, using the HSPiP and COSMO-RS computational tools, respectively. Those tools are notalways available to many researchers; for this reason, Microsoft Excel (ME) has been used for the estimation of goodsolvents in the extraction of natural products of high value and interesting for the food, pharmaceutical and cosmeticindustries. This method is applicable to cases where there is little, or practically no information about the compound ofinterest, for which functional group contribution methods are used, among them, the Joback method for the estimation ofproperties necessary for the determination of solubility models, and Van Krevelen method for the initial estimation of theHansen solubility parameters for solubility estimates, the Flory-Hugging model is used, from which and its classification,according to the North American Pharmacopeia, the good and bad solvents are defined in the selected database forthe final estimation of Hansen’s parameters and the solubility region. The methodology was validated with ten studycases reported in the literature. The results of this study showed that other green solvents, not reported in the literatureconsulted, are suggested as good solvents for polyphenols, such as diacetone alcohol, diethylene glycol monobutyl etherand tetrahydrofurfuryl alcohol. In the consulted literature there are no references on the use of a structured methodologyin Microsoft Excel (ME) for the estimation of good solvents for the extraction of natural products from the estimationof solubility with existing models. All the consulted papers refer the use of various professional computer programs forthis purpose, specifically HSPiP, and COSMO-RS, which are not accessible to all researchers. With these estimates andan initial classification based on pharmacopoeia criteria, a first classification of good and bad solvents is made, which isrefined by means of optimization methods in ME.

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Publication Details

Journal
Universal Journal of Green Chemistry
Published
2024-12-12
DOI
https://doi.org/10.37256/ujgc.2220245505
Citations
2
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
0.48
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article

Use of Group Contribution Methods, Hansen’s Solubility Theory and Microsoft Excel in Solvents Selection for Extraction of Natural Products

Manuel Díaz de los Ríos, Evelyn Faife Pérez
2 citations
Universal Journal of Green Chemistry
Analytical Chemistry and Chromatography
0.48
article

Use of Group Contribution Methods, Hansen’s Solubility Theory and Microsoft Excel in Solvents Selection for Extraction of Natural Products

Manuel Díaz de los Ríos, Evelyn Faife Pérez
article en
2 citations

Abstract

Usually, Hansen’s theory and the COSMO continuous solvation models have been used for the selectionof solvents related to a solute, using the HSPiP and COSMO-RS computational tools, respectively. Those tools are notalways available to many researchers; for this reason, Microsoft Excel (ME) has been used for the estimation of goodsolvents in the extraction of natural products of high value and interesting for the food, pharmaceutical and cosmeticindustries. This method is applicable to cases where there is little, or practically no information about the compound ofinterest, for which functional group contribution methods are used, among them, the Joback method for the estimation ofproperties necessary for the determination of solubility models, and Van Krevelen method for the initial estimation of theHansen solubility parameters for solubility estimates, the Flory-Hugging model is used, from which and its classification,according to the North American Pharmacopeia, the good and bad solvents are defined in the selected database forthe final estimation of Hansen’s parameters and the solubility region. The methodology was validated with ten studycases reported in the literature. The results of this study showed that other green solvents, not reported in the literatureconsulted, are suggested as good solvents for polyphenols, such as diacetone alcohol, diethylene glycol monobutyl etherand tetrahydrofurfuryl alcohol. In the consulted literature there are no references on the use of a structured methodologyin Microsoft Excel (ME) for the estimation of good solvents for the extraction of natural products from the estimationof solubility with existing models. All the consulted papers refer the use of various professional computer programs forthis purpose, specifically HSPiP, and COSMO-RS, which are not accessible to all researchers. With these estimates andan initial classification based on pharmacopoeia criteria, a first classification of good and bad solvents is made, which isrefined by means of optimization methods in ME.

Universal Journal of Green Chemistry
Instituto Cubano de Investigaciones de los Derivados de la Caña de Azúcar (CU)
Responsible consumption and production
Openalex Percentile: Top 38%
Analytical Chemistry and Chromatography
0.48
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