Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| In Vitro-In Vivo Korrelācija× | Šķīdināšanas f1/f2 līdzības faktors× | |
|---|---|---|
| Nozare | Farmakoloģija | Farmakoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1995 | 1996 |
| Autors≠ | Gordon Amidon | James Moore and Hector Flanner |
| Tips≠ | bioavailability prediction | similarity testing |
| Pirmavots≠ | Amidon, G. L., Lennernäs, H., Shah, V. P., & Crison, J. R. (1995). A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharmaceutical Research, 12(3), 413-420. DOI ↗ | Moore, J. W., & Flanner, H. H. (1996). Mathematical comparison of dissolution profiles. Pharmaceutical Technology, 20(6), 64-74. link ↗ |
| Citi nosaukumi≠ | IVIVC | f1, f2, similarity factor |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | IVIVC is a mathematical relationship between in vitro and in vivo properties of a drug, developed to predict oral bioavailability from dissolution data. Introduced by Amidon and colleagues in the 1995 Biopharmaceutics Classification System, it bridges laboratory measurements and clinical outcomes to streamline drug development. | The f1 and f2 factors are dimensionless statistical measures developed by Moore and Flanner to quantify the similarity between two dissolution profiles. Adopted by regulatory agencies (FDA, EMA) as the gold standard for comparing dissolution curves, these factors enable rapid assessment of whether formulation changes significantly impact drug release. |
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