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In-Vivo Analysis and Model-Based Prediction of Tensides’ Influence on Drug Absorption

Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 81219 Bratislava, Slovakia
Author to whom correspondence should be addressed.
Academic Editors: Ryszard Zieliński and Daria Wieczorek
Molecules 2021, 26(18), 5602;
Received: 26 July 2021 / Revised: 8 September 2021 / Accepted: 9 September 2021 / Published: 15 September 2021
(This article belongs to the Special Issue Surfactants & Detergents: Theory, Technology and Application)
Depending on their concentrations the surface-active substances, tensides (surfactants) can positively or negatively influence the drug absorption, which is widely used in the design of the dosage forms with controlled release. A problem is that the (in-vivo) rate of absorption cannot be directly measured and for that reason, it is frequently substituted by evaluation of the (in-vitro) dissolution. On other hand, a suitably designed pharmacokinetic model can directly predict virtually all pharmacokinetic quantities including both the rate of absorption and fraction of the dose reaching the blood circulation. The paper presents a new approach to the analysis of the rate of drug absorption and shows its superiority over traditional in-vivo approaches. Both the in-vivo analysis and model-based prediction of the tenside (monolaurin of sucrose) influence on the rate of absorption of the drug (sulfathiazole) after instantaneous per-oral administration to rats are discussed. It was found that 0.001% solution of tenside can increase the rate of absorption by cca 50% and a two-fold increase in absolute bioavailability can be reached. Attention is also devoted to the formal requirements laid on the model’s structure and its identifiability. The systematic design, substantiation and validation of a parsimonious predictive model that confirms in-vivo results are presented. The match between in-vivo observations and model-based predictions is demonstrated. The frequently overlooked metaphysics lying behind the compartmental modelling is briefly explained. View Full-Text
Keywords: tensides; absorption; compartment modelling; in-vivo/model-based analysis tensides; absorption; compartment modelling; in-vivo/model-based analysis
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MDPI and ACS Style

Vitková, Z.; Tárník, M.; Pavlovičová, J.; Murgaš, J.; Babinec, A.; Vitko, A. In-Vivo Analysis and Model-Based Prediction of Tensides’ Influence on Drug Absorption. Molecules 2021, 26, 5602.

AMA Style

Vitková Z, Tárník M, Pavlovičová J, Murgaš J, Babinec A, Vitko A. In-Vivo Analysis and Model-Based Prediction of Tensides’ Influence on Drug Absorption. Molecules. 2021; 26(18):5602.

Chicago/Turabian Style

Vitková, Zuzana, Marián Tárník, Jarmila Pavlovičová, Ján Murgaš, Andrej Babinec, and Anton Vitko. 2021. "In-Vivo Analysis and Model-Based Prediction of Tensides’ Influence on Drug Absorption" Molecules 26, no. 18: 5602.

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