Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points
Todos los datos experimentales de solubilidad de la sulfametazina en {acetonitrilo (1) + agua (2)} mezclas de solventes binarios en un rango de temperatura de (278,15 a 323,15) K se han vuelto a analizar cuidadosamente. Luego, se ha elegido un número mínimo de datos experimentales de solubilidad par...
- Autores:
-
Khoubnasabjafari, Maryam
Delgado, Daniel Ricardo
Martinez, Fleming
Jouyban, Abolghasem
Acree Jr, William Eugene
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/28253
- Acceso en línea:
- https://hdl.handle.net/20.500.12494/28253
- Palabra clave:
- Predicción de solubilidad
Modelos de co-solvencia
Propiedades termodinámicas aparentes
Modelo Jouyban-Acree
Jouyban-Acree-van't Hoff modelo
Solvatación preferencial
Solubility prediction
Co-solvency models
Jouyban-Acree model
Jouyban-Acree-van’t Hoff model
Apparent thermodynamic properties
Preferential solvation
- Rights
- openAccess
- License
- Atribución – No comercial
id |
COOPER2_e8be778979fb30202714a1476b451dd1 |
---|---|
oai_identifier_str |
oai:repository.ucc.edu.co:20.500.12494/28253 |
network_acronym_str |
COOPER2 |
network_name_str |
Repositorio UCC |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
title |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
spellingShingle |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points Predicción de solubilidad Modelos de co-solvencia Propiedades termodinámicas aparentes Modelo Jouyban-Acree Jouyban-Acree-van't Hoff modelo Solvatación preferencial Solubility prediction Co-solvency models Jouyban-Acree model Jouyban-Acree-van’t Hoff model Apparent thermodynamic properties Preferential solvation |
title_short |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
title_full |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
title_fullStr |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
title_full_unstemmed |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
title_sort |
Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points |
dc.creator.fl_str_mv |
Khoubnasabjafari, Maryam Delgado, Daniel Ricardo Martinez, Fleming Jouyban, Abolghasem Acree Jr, William Eugene |
dc.contributor.author.none.fl_str_mv |
Khoubnasabjafari, Maryam Delgado, Daniel Ricardo Martinez, Fleming Jouyban, Abolghasem Acree Jr, William Eugene |
dc.subject.spa.fl_str_mv |
Predicción de solubilidad Modelos de co-solvencia Propiedades termodinámicas aparentes Modelo Jouyban-Acree Jouyban-Acree-van't Hoff modelo Solvatación preferencial |
topic |
Predicción de solubilidad Modelos de co-solvencia Propiedades termodinámicas aparentes Modelo Jouyban-Acree Jouyban-Acree-van't Hoff modelo Solvatación preferencial Solubility prediction Co-solvency models Jouyban-Acree model Jouyban-Acree-van’t Hoff model Apparent thermodynamic properties Preferential solvation |
dc.subject.other.spa.fl_str_mv |
Solubility prediction Co-solvency models Jouyban-Acree model Jouyban-Acree-van’t Hoff model Apparent thermodynamic properties Preferential solvation |
description |
Todos los datos experimentales de solubilidad de la sulfametazina en {acetonitrilo (1) + agua (2)} mezclas de solventes binarios en un rango de temperatura de (278,15 a 323,15) K se han vuelto a analizar cuidadosamente. Luego, se ha elegido un número mínimo de datos experimentales de solubilidad para predecir los datos de solubilidad en todas las posibles composiciones y temperaturas de disolvente utilizando la técnica de interpolación. Los datos predichos se compararon con los datos experimentales empleando la desviación porcentual absoluta promedio ( AAPD) como criterio de precisión. Los análisis de solvatación preferencial basados en las integrales inversas de Kirkwood-Buff y también las propiedades termodinámicas aparentes se realizaron empleando los datos simulados y los resultados obtenidos se compararon con los obtenidos empleando todos los puntos de datos. La energía de Gibbs y la solvatación preferencial siguen tendencias similares, pero la entalpía y la entropía de disolución exhiben diferencias significativas. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-11-23T19:34:42Z |
dc.date.available.none.fl_str_mv |
2020-11-23T19:34:42Z |
dc.date.issued.none.fl_str_mv |
2020-02-02 |
dc.type.none.fl_str_mv |
Artículo |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
10290451 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12494/28253 |
dc.identifier.bibliographicCitation.spa.fl_str_mv |
Maryam Khoubnasabjafari, Daniel R. Delgado, Fleming Martinez, Abolghasem Jouyban & William E. Acree (2020) Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points, Physics and Chemistry of Liquids, DOI: 10.1080/00319104.2020.1731812 |
identifier_str_mv |
10290451 Maryam Khoubnasabjafari, Daniel R. Delgado, Fleming Martinez, Abolghasem Jouyban & William E. Acree (2020) Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points, Physics and Chemistry of Liquids, DOI: 10.1080/00319104.2020.1731812 |
url |
https://hdl.handle.net/20.500.12494/28253 |
dc.relation.isversionof.spa.fl_str_mv |
https://bbibliograficas.ucc.edu.co:2202/doi/full/10.1080/00319104.2020.1731812 |
dc.relation.ispartofjournal.spa.fl_str_mv |
Physics and Chemistry of Liquids |
dc.relation.references.spa.fl_str_mv |
Martinez F, Jouyban A, Acree WE Jr. Pharmaceuticals solubility is still nowadays widely studied everywhere. Pharm Sci. 2017;23:1–2 Jouyban A. Review of the cosolvency models for predicting drug solubility in solvent mixtures: an update. J Pharm Pharm Sci. 2019;22:466–485. Blanco-Marquez JH, Caviedes-Rubio DI, Ortiz CP, et al. Thermodynamic analysis and preferential solvation of sulfamethazine in acetonitrile + water cosolvent mixtures. Fluid Phase Equilib. 2020;505:112361. Grant DJW, Mehdizadeh M, Chow AHL, et al. Non-linear van’t Hoff solubility-temperature plots and their pharmaceutical interpretation. Int J Pharm. 1984;18:25–38. Acree WE Jr. Mathematical representation of thermodynamic properties: part 2. Derivation of the combined nearly ideal binary solvent (NIBS)/Redlich-Kister mathematical representation from a two-body and three-body interactional mixing model. Thermochim Acta. 1992;198:71–79. Jouyban A, Acree WE Jr. Mathematical derivation of the Jouyban-Acree model to represent solute solubility data in mixed solvents at various temperatures. J Mol Liq. 2018;256:541–547. Marcus Y. Solvent Mixtures: properties and selective solvation. New York: Marcel Dekker, Inc.; 2002. Marcus Y. On the preferential solvation of drugs and PAHs in binary solvent mixtures. J Mol Liq. 2008;140:61–67. Marcus Y. Preferential solvation of ibuprofen and naproxen in aqueous 1,2–propanediol. Acta Chim Sloven. Jiménez DM, Cárdenas ZJ, Delgado DR, et al. Preferential solvation of methocarbamol in aqueous binary cosolvent mixtures at 298.15 K. Phys Chem Liq. 2014;52:726–737. Jouyban A, Acree WE Jr, Martínez F. Modelling the solubility and preferential solvation of gallic acid in cosolvent + water mixtures. J Mol Liq. 2016;224:502–506. Delgado DR, Rodríguez GA, Martínez F. Thermodynamic study of the solubility of sulfapyridine in some ethanol + water mixtures. J Mol Liq. 2013;177:156–161. Delgado DR, Martínez F. Preferential solvation of sulfadiazine, sulfamerazine and sulfamethazine in ethanol + water solvent mixtures according to the IKBI method. J Mol Liq. 2014;193:152–159. Perlovich GL, Kurkov SV, Kinchin AN, et al. Thermodynamics of solutions III: comparison of the solvation of (+)-naproxen with other NSAIDs. Eur J Pharm Biopharm. 2004;57:411–420. Bustamante P, Romero S, Peña A, et al. Nonlinear enthalpy-entropy compensation for the solubility of drugs in solvent mixtures: paracetamol, acetanilide and nalidixic acid in dioxane-water. J Pharm Sci. 1998;87:1590–1596. Martínez F, Peña MA, Bustamante P. Thermodynamic analysis and enthalpy-entropy compensation for the solubility of indomethacin in aqueous and non-aqueous mixtures. Fluid Phase Equilib. 2011;308:98–106. |
dc.rights.license.none.fl_str_mv |
Atribución – No comercial |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Atribución – No comercial http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.spa.fl_str_mv |
p. 1-14 |
dc.coverage.temporal.spa.fl_str_mv |
1 |
dc.publisher.spa.fl_str_mv |
Taylor & Francis Universidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería Industrial, Neiva |
dc.publisher.program.spa.fl_str_mv |
Ingeniería Industrial |
dc.publisher.place.spa.fl_str_mv |
Neiva |
institution |
Universidad Cooperativa de Colombia |
bitstream.url.fl_str_mv |
https://repository.ucc.edu.co/bitstreams/1755e201-4e76-47db-8a69-eccc8149c806/download https://repository.ucc.edu.co/bitstreams/f9725fb6-aee6-4cb6-a09d-51957e955cef/download https://repository.ucc.edu.co/bitstreams/ffd342a8-8a7f-4ebe-a6c9-2540b7e1da58/download https://repository.ucc.edu.co/bitstreams/d98c0f17-2cca-4442-8c4c-6aa2a2b5e252/download |
bitstream.checksum.fl_str_mv |
40c48935d6b79a139bbafd899188019a 3bce4f7ab09dfc588f126e1e36e98a45 972d8952d0d748cf8db36c9ba3f7a4f8 b13ccfbbce8aa63e2da37fdd8c03d0f4 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad Cooperativa de Colombia |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
_version_ |
1814247099482505216 |
spelling |
Khoubnasabjafari, MaryamDelgado, Daniel RicardoMartinez, FlemingJouyban, AbolghasemAcree Jr, William Eugene12020-11-23T19:34:42Z2020-11-23T19:34:42Z2020-02-0210290451https://hdl.handle.net/20.500.12494/28253Maryam Khoubnasabjafari, Daniel R. Delgado, Fleming Martinez, Abolghasem Jouyban & William E. Acree (2020) Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points, Physics and Chemistry of Liquids, DOI: 10.1080/00319104.2020.1731812Todos los datos experimentales de solubilidad de la sulfametazina en {acetonitrilo (1) + agua (2)} mezclas de solventes binarios en un rango de temperatura de (278,15 a 323,15) K se han vuelto a analizar cuidadosamente. Luego, se ha elegido un número mínimo de datos experimentales de solubilidad para predecir los datos de solubilidad en todas las posibles composiciones y temperaturas de disolvente utilizando la técnica de interpolación. Los datos predichos se compararon con los datos experimentales empleando la desviación porcentual absoluta promedio ( AAPD) como criterio de precisión. Los análisis de solvatación preferencial basados en las integrales inversas de Kirkwood-Buff y también las propiedades termodinámicas aparentes se realizaron empleando los datos simulados y los resultados obtenidos se compararon con los obtenidos empleando todos los puntos de datos. La energía de Gibbs y la solvatación preferencial siguen tendencias similares, pero la entalpía y la entropía de disolución exhiben diferencias significativas.The all experimental solubility data of sulphamethazine in {acetonitrile (1) + water (2)} binary solvent mixtures at temperature range from (278.15 to 323.15) K have been carefully reanalysed. Then, a minimum number of experimental solubility data has been chosen to predict the solubility data at all possible solvent compositions and temperatures using interpolation technique. The predicted data was compared with the experimental data employing the average absolute percentage deviation (AAPD) as an accuracy criterion. The preferential solvation analyses based on the inverse Kirkwood-Buff integrals and also apparent thermodynamic properties were conducted employing the simulated data and the obtained results were compared with those obtained employing all data points. Gibbs energy and preferential solvation follow similar trends but enthalpy and entropy of dissolution exhibit significant differences.Abstract. -- 1. Introduction. -- 2. Computational methods. -- 3. Results and discussion. -- 4. Conclusion. -- Additional information. -- References.http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001402116https://orcid.org/0000-0002-4835-9739https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000004151danielr.delgado@campusucc.edu.cohttps://scholar.google.es/citations?user=OW0mejcAAAAJ&hl=esp. 1-14Taylor & FrancisUniversidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería Industrial, NeivaIngeniería IndustrialNeivahttps://bbibliograficas.ucc.edu.co:2202/doi/full/10.1080/00319104.2020.1731812Physics and Chemistry of LiquidsMartinez F, Jouyban A, Acree WE Jr. Pharmaceuticals solubility is still nowadays widely studied everywhere. Pharm Sci. 2017;23:1–2Jouyban A. Review of the cosolvency models for predicting drug solubility in solvent mixtures: an update. J Pharm Pharm Sci. 2019;22:466–485.Blanco-Marquez JH, Caviedes-Rubio DI, Ortiz CP, et al. Thermodynamic analysis and preferential solvation of sulfamethazine in acetonitrile + water cosolvent mixtures. Fluid Phase Equilib. 2020;505:112361.Grant DJW, Mehdizadeh M, Chow AHL, et al. Non-linear van’t Hoff solubility-temperature plots and their pharmaceutical interpretation. Int J Pharm. 1984;18:25–38.Acree WE Jr. Mathematical representation of thermodynamic properties: part 2. Derivation of the combined nearly ideal binary solvent (NIBS)/Redlich-Kister mathematical representation from a two-body and three-body interactional mixing model. Thermochim Acta. 1992;198:71–79.Jouyban A, Acree WE Jr. Mathematical derivation of the Jouyban-Acree model to represent solute solubility data in mixed solvents at various temperatures. J Mol Liq. 2018;256:541–547.Marcus Y. Solvent Mixtures: properties and selective solvation. New York: Marcel Dekker, Inc.; 2002.Marcus Y. On the preferential solvation of drugs and PAHs in binary solvent mixtures. J Mol Liq. 2008;140:61–67.Marcus Y. Preferential solvation of ibuprofen and naproxen in aqueous 1,2–propanediol. Acta Chim Sloven.Jiménez DM, Cárdenas ZJ, Delgado DR, et al. Preferential solvation of methocarbamol in aqueous binary cosolvent mixtures at 298.15 K. Phys Chem Liq. 2014;52:726–737.Jouyban A, Acree WE Jr, Martínez F. Modelling the solubility and preferential solvation of gallic acid in cosolvent + water mixtures. J Mol Liq. 2016;224:502–506.Delgado DR, Rodríguez GA, Martínez F. Thermodynamic study of the solubility of sulfapyridine in some ethanol + water mixtures. J Mol Liq. 2013;177:156–161.Delgado DR, Martínez F. Preferential solvation of sulfadiazine, sulfamerazine and sulfamethazine in ethanol + water solvent mixtures according to the IKBI method. J Mol Liq. 2014;193:152–159.Perlovich GL, Kurkov SV, Kinchin AN, et al. Thermodynamics of solutions III: comparison of the solvation of (+)-naproxen with other NSAIDs. Eur J Pharm Biopharm. 2004;57:411–420.Bustamante P, Romero S, Peña A, et al. Nonlinear enthalpy-entropy compensation for the solubility of drugs in solvent mixtures: paracetamol, acetanilide and nalidixic acid in dioxane-water. J Pharm Sci. 1998;87:1590–1596.Martínez F, Peña MA, Bustamante P. Thermodynamic analysis and enthalpy-entropy compensation for the solubility of indomethacin in aqueous and non-aqueous mixtures. Fluid Phase Equilib. 2011;308:98–106.Predicción de solubilidadModelos de co-solvenciaPropiedades termodinámicas aparentesModelo Jouyban-AcreeJouyban-Acree-van't Hoff modeloSolvatación preferencialSolubility predictionCo-solvency modelsJouyban-Acree modelJouyban-Acree-van’t Hoff modelApparent thermodynamic propertiesPreferential solvationPredicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data pointsArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAtribución – No comercialinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2PublicationORIGINAL2020_thermodynamic_sulphamethazine_experimental.pdf2020_thermodynamic_sulphamethazine_experimental.pdfArtículoapplication/pdf1954033https://repository.ucc.edu.co/bitstreams/1755e201-4e76-47db-8a69-eccc8149c806/download40c48935d6b79a139bbafd899188019aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84334https://repository.ucc.edu.co/bitstreams/f9725fb6-aee6-4cb6-a09d-51957e955cef/download3bce4f7ab09dfc588f126e1e36e98a45MD52THUMBNAIL2020_thermodynamic_sulphamethazine_experimental.pdf.jpg2020_thermodynamic_sulphamethazine_experimental.pdf.jpgGenerated Thumbnailimage/jpeg4795https://repository.ucc.edu.co/bitstreams/ffd342a8-8a7f-4ebe-a6c9-2540b7e1da58/download972d8952d0d748cf8db36c9ba3f7a4f8MD53TEXT2020_thermodynamic_sulphamethazine_experimental.pdf.txt2020_thermodynamic_sulphamethazine_experimental.pdf.txtExtracted texttext/plain31552https://repository.ucc.edu.co/bitstreams/d98c0f17-2cca-4442-8c4c-6aa2a2b5e252/downloadb13ccfbbce8aa63e2da37fdd8c03d0f4MD5420.500.12494/28253oai:repository.ucc.edu.co:20.500.12494/282532024-08-10 21:01:21.771restrictedhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.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 |