Mathematical Modeling based on Deconvolution for Prediction of In-vivo Drug Absorption

Authors

  • Vijay M. Jadhav, Bhausaheb R. Sontakke, Nazneen Akthar, A. P. Battase, Yusuf H. Shaikh

DOI:

https://doi.org/10.17762/msea.v71i4.1734

Abstract

In pharmaceutical industry the most challenging task is the determination of pharmacokinetic parameters which is of prime importance. In oral Drug Delivery System (DDS) the plasma concentration of drug resulting from a dosage-form is obtained conducting bio-studies where the time, efforts and funds required are very high. Modeling of pharmacokinetic parameters provide a powerful alternative to the bio-studies saving time and money. The results obtained by mathematical modeling are highly dependable and use of system approach based on convolution and deconvolution provides reliable results and are accepted by US FDA also.

We present a systematic approach and procedure for mathematical modeling of the Problem and discuss in-vivo drug absorption. In the prediction of in-vivo absorption of drug as a function of time from a given plasma profile, the only requirement is the Unit Input Response (UIR). The technique presented makes use of System approach and deconvolution. The plasma profile is deconvolved with the UIR which gives the in-vivo rate of drug absorption as a function of time. There are several possibilities of implementation of deconvolution, here we present an actual example of prediction of in-vivo rate of absorption of drug employing system approach and deconvolution using Laplace transform, details and findings are presented

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Published

2023-01-20

How to Cite

Vijay M. Jadhav, Bhausaheb R. Sontakke, Nazneen Akthar, A. P. Battase, Yusuf H. Shaikh. (2023). Mathematical Modeling based on Deconvolution for Prediction of In-vivo Drug Absorption. Mathematical Statistician and Engineering Applications, 71(4), 9383–9391. https://doi.org/10.17762/msea.v71i4.1734

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Articles