Journal article Open Access

In vitro–in vivo correlations of self-emulsifying drug delivery systems combining the dynamic lipolysis model and neuro-fuzzy networks

Fatouros, D.; Nielsen, F.; Douroumis, D.; Hadjileontiadis, L.; Mullertz, A.


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/a9e2cde5-042a-476a-bf15-7f69dd7c4b20/article.pdf"
      }, 
      "checksum": "md5:2f0239a9995b29744a4a15ec7d2a916f", 
      "bucket": "a9e2cde5-042a-476a-bf15-7f69dd7c4b20", 
      "key": "article.pdf", 
      "type": "pdf", 
      "size": 1036042
    }
  ], 
  "owners": [
    13380
  ], 
  "doi": "10.1016/j.ejpb.2008.01.022", 
  "stats": {
    "version_unique_downloads": 115.0, 
    "unique_views": 105.0, 
    "views": 107.0, 
    "version_views": 107.0, 
    "unique_downloads": 115.0, 
    "version_unique_views": 105.0, 
    "volume": 122252956.0, 
    "version_downloads": 118.0, 
    "downloads": 118.0, 
    "version_volume": 122252956.0
  }, 
  "links": {
    "doi": "https://doi.org/10.1016/j.ejpb.2008.01.022", 
    "latest_html": "https://zenodo.org/record/895851", 
    "bucket": "https://zenodo.org/api/files/a9e2cde5-042a-476a-bf15-7f69dd7c4b20", 
    "badge": "https://zenodo.org/badge/doi/10.1016/j.ejpb.2008.01.022.svg", 
    "html": "https://zenodo.org/record/895851", 
    "latest": "https://zenodo.org/api/records/895851"
  }, 
  "created": "2017-09-19T06:52:21.380534+00:00", 
  "updated": "2020-01-20T16:59:59.247428+00:00", 
  "conceptrecid": "895850", 
  "revision": 5, 
  "id": 895851, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.1016/j.ejpb.2008.01.022", 
    "description": "The aim of the current study was to evaluate the potential of the dynamic lipolysis model to simulate the absorption of a poorly soluble model drug compound, probucol, from three lipid-based formulations and to predict the in vitro\u2013in vivo correlation (IVIVC) using neuro-fuzzy networks. An oil solution and two self-micro and nano-emulsifying drug delivery systems were tested in the lipolysis model. The release of probucol to the aqueous (micellar) phase was monitored during the progress of lipolysis. These release profiles compared with plasma profiles obtained in a previous bioavailability study conducted in mini-pigs at the same conditions. The release rate and extent of release from the oil formulation were found to be significantly lower than from SMEDDS and SNEDDS. The rank order of probucol released (SMEDDS ~ SNEDDS > oil formulation) was similar to the rank order of bioavailability from the in vivo study. The employed neuro-fuzzy model (AFM-IVIVC) achieved significantly high prediction ability for different data formations (correlation greater than 0.91 and prediction error close to zero), without employing complex configurations. These preliminary results\nsuggest that the dynamic lipolysis model combined with the AFM-IVIVC can be a useful tool in the prediction of the in vivo behavior of lipid-based formulations.", 
    "license": {
      "id": "CC-BY-SA-4.0"
    }, 
    "title": "In vitro\u2013in vivo correlations of self-emulsifying drug delivery systems combining the dynamic lipolysis model and neuro-fuzzy networks", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "895850"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "895851"
          }
        }
      ]
    }, 
    "publication_date": "2008-08-01", 
    "creators": [
      {
        "name": "Fatouros, D."
      }, 
      {
        "name": "Nielsen, F."
      }, 
      {
        "name": "Douroumis, D."
      }, 
      {
        "name": "Hadjileontiadis, L."
      }, 
      {
        "name": "Mullertz, A."
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "article", 
      "type": "publication", 
      "title": "Journal article"
    }
  }
}
107
118
views
downloads
Views 107
Downloads 118
Data volume 122.3 MB
Unique views 105
Unique downloads 115

Share

Cite as