International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Wagner-Nelson and Numerical Deconvolution Based Approaches for in-Vivo Performance Prediction

Khawla Rasheed

Abstract: Collected information in in-vitro dissolution studies, by means of statistical or mathematical models, can be used to predict the in-vivo performance of dosage forms, e. g. Plasma concentration of a drug. This study has a great importance in reducing the number of in-vivo human studies necessary in drug development and batch approval specification limits during drug manufacturing and as a substitute for human in-vivo studies for drug approval. In this study data from previous work for in vitro dissolution profile and in vivo plasma profile were taken and used to perform In Vitro- In Vivo correlation using tow methods, Wagner-Nelson and numerical deconvolution The results show that Wagner-Nelson has correlation coefficient between %dissolved and %absorbed of 0.85 while the numerical deconvolution shows the correlation coefficient of 0.93.

Keywords: In VitroIn Vivo Correlation, Deconvolution, Wagner-Nelson, plasma profile

How to Cite?: Khawla Rasheed, "Wagner-Nelson and Numerical Deconvolution Based Approaches for in-Vivo Performance Prediction", Volume 7 Issue 8, August 2018, International Journal of Science and Research (IJSR), Pages: 1646-1649, https://www.ijsr.net/getabstract.php?paperid=ART2019618, DOI: https://dx.doi.org/10.21275/ART2019618

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