Optimization of Solid Lipid Nanoparticles using Gene Expression Programming (GEP)
| dc.contributor.author | Aksu, Buket | |
| dc.contributor.author | Gokce, Evren H. | |
| dc.contributor.author | Rencber, Seda | |
| dc.contributor.author | Ozyazici, Mine | |
| dc.date.accessioned | 2019-10-27T22:05:52Z | |
| dc.date.available | 2019-10-27T22:05:52Z | |
| dc.date.issued | 2014 | |
| dc.department | Ege Üniversitesi | en_US |
| dc.description.abstract | The aim of this work was to apply the INForm V5.1 GEP program in the development and optimization of different solid lipid nanoparticles (SLN) formulations using physical parameters to achieve the best combination of materials. SLN have been produced by high-shear homogenization, and the formulations have been characterized for their mean particle size, polydispersity index and zeta potential, and the most promising formulations in terms of physicochemical stability have been identified applying the INForm V5.1 GEP program. The data obtained from the laboratory results, following analysis of the variables allowed us to reach most appropriate formulation among 4 different types of SLN. It has been shown that when artificial intelligence is used in the product development phase, the desired result will be obtained with less experiments in shorter time. | en_US |
| dc.description.sponsorship | Research Foundation of Ege UniversityEge University [07/ECZ/014] | en_US |
| dc.description.sponsorship | The authors wish to thank the Research Foundation of Ege University (07/ECZ/014) for financial support given to this study. | en_US |
| dc.identifier.endpage | 684 | en_US |
| dc.identifier.issn | 0326-2383 | |
| dc.identifier.issn | 0326-2383 | en_US |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 675 | en_US |
| dc.identifier.uri | https://hdl.handle.net/11454/48626 | |
| dc.identifier.volume | 33 | en_US |
| dc.identifier.wos | WOS:000337944700020 | en_US |
| dc.identifier.wosquality | Q4 | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Colegio Farmaceuticos Provincia De Buenos Aires | en_US |
| dc.relation.ispartof | Latin American Journal of Pharmacy | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artifical neural network | en_US |
| dc.subject | Gene expression programme | en_US |
| dc.subject | Optimization | en_US |
| dc.subject | Solid lipid nanoparticles (SLN) | en_US |
| dc.title | Optimization of Solid Lipid Nanoparticles using Gene Expression Programming (GEP) | en_US |
| dc.type | Article | en_US |












