Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Šķīdināšanas f1/f2 līdzības faktors× | In Vitro-In Vivo Korrelācija× | |
|---|---|---|
| Nozare | Farmakoloģija | Farmakoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1996 | 1995 |
| Autors≠ | James Moore and Hector Flanner | Gordon Amidon |
| Tips≠ | similarity testing | bioavailability prediction |
| Pirmavots≠ | Moore, J. W., & Flanner, H. H. (1996). Mathematical comparison of dissolution profiles. Pharmaceutical Technology, 20(6), 64-74. link ↗ | 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 ↗ |
| Citi nosaukumi≠ | f1, f2, similarity factor | IVIVC |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. | 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. |
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