Publication
Modeling the solubility of monoterpenoids with hybrid and predictive thermodynamic tools
| dc.contributor.author | Vilas-Boas, Sérgio M. | |
| dc.contributor.author | Cordova, Isabella Weber | |
| dc.contributor.author | Abranches, Dinis O. | |
| dc.contributor.author | Coutinho, João A.P. | |
| dc.contributor.author | Ferreira, Olga | |
| dc.contributor.author | Pinho, Simão | |
| dc.date.accessioned | 2020-06-17T13:56:57Z | |
| dc.date.available | 2020-06-17T13:56:57Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The Abraham and NRTL-SAC semipredictive models were employed to represent the solubility of (-)-borneol, (1R)-(+)-camphor, L-(-)-menthol, and thymol in water and organic solvents, using data measured in this work and collected from the literature. A reduced set of solubility data was used to estimate the model parameters of the solutes, and global average relative deviations (ARDs) of 27% for the Abraham model and 15% for the NRTL-SAC model were obtained. The predictive capability of these models was tested by estimating the solubilities in solvents not included in the correlation step. Global ARDs of 8% (Abraham model) and 14% (NRTL-SAC model) were obtained. Finally, the predictive COSMO-RS model was used to describe the solubility data in organic solvents, with ARD of 16%. These results show the overall better performance of NRTL-SAC in a hybrid correlation/prediction approach, while COSMO-RS can produce very satisfactory predictions even in the absence of any experimental data. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Vilas-Boas, Sérgio M.; Cordova, Isabella Weber; Abranches, Dinis O.; Coutinho, João A.P.; Ferreira, Olga; Pinho, Simão (2023). Modeling the solubility of monoterpenoids with hybrid and predictive thermodynamic tools. Industrial & Engineering Chemistry Research. ISSN 0888-5885. 62:12, p. 5326-5335 | pt_PT |
| dc.identifier.doi | 10.1021/acs.iecr.2c03991 | |
| dc.identifier.issn | 0888-5885 | |
| dc.identifier.uri | http://hdl.handle.net/10198/22101 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | American Chemical Society | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Molecule solubility | pt_PT |
| dc.subject | Solute descriptors | pt_PT |
| dc.subject | Thymol | pt_PT |
| dc.subject | Drug | pt_PT |
| dc.subject | Camphor | pt_PT |
| dc.subject | Terpenes | |
| dc.subject | Solvents | |
| dc.subject | Water | |
| dc.subject | Pure | |
| dc.title | Modeling the solubility of monoterpenoids with hybrid and predictive thermodynamic tools | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.title | Industrial & Engineering Chemistry Research | pt_PT |
| person.familyName | Cordova | |
| person.familyName | Ferreira | |
| person.familyName | Pinho | |
| person.givenName | Isabella Weber | |
| person.givenName | Olga | |
| person.givenName | Simão | |
| person.identifier | 810882 | |
| person.identifier.ciencia-id | 6A14-116E-38E8 | |
| person.identifier.ciencia-id | 9F1D-C75A-4A54 | |
| person.identifier.ciencia-id | 481D-73AD-8D0F | |
| person.identifier.orcid | 0000-0003-0753-8930 | |
| person.identifier.orcid | 0000-0001-8414-3479 | |
| person.identifier.orcid | 0000-0002-9211-857X | |
| person.identifier.rid | M-4567-2013 | |
| person.identifier.rid | D-4148-2013 | |
| person.identifier.scopus-author-id | 57203083219 | |
| person.identifier.scopus-author-id | 7003570175 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 01b91a73-759b-482c-b7e5-dcb59d5fa73a | |
| relation.isAuthorOfPublication | 59e0c608-0c21-4191-af5e-529d21970399 | |
| relation.isAuthorOfPublication | 8ef7789a-34f3-4915-a666-4efe26272a30 | |
| relation.isAuthorOfPublication.latestForDiscovery | 8ef7789a-34f3-4915-a666-4efe26272a30 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Modeling-the-solubility-of-monoterpenoids.pdf
- Size:
- 1.99 MB
- Format:
- Adobe Portable Document Format
