RKinetDS: A Flexible Open-Source Software for Modeling Dissolution Profiles

Introduction: Analysis of the dissolution process is becoming more prevalent, including fitting mathematical models to describe dissolution profiles.This paper presents the development of RKinetDS, an open-source software for fitting drug dissolution curves to mathematical models.Methods: The software was written in R (version 4.2.3), and the graphical user interface was developed using the Shiny R package.RKinetDS currently includes 36 dissolution models.The software uses various measures to evaluate the goodness of fit including RMSE, R 2 , R 2 adjusted , and Akaike Information Criterion (AIC).To evaluate the reliability and practical applicability of the RKinetDS, its performance was assessed using real-world dissolution datasets sourced from published studies to reflect different experimental conditions and formulation types.RKinetDS was used to replicate the model fits.Results: RKinetDS produced results that were similar to those reported in published studies for tablets, oral suspension, and microspheres.For tablets, the best fit was the Weibull model (Castro et al.: β = 0.6238, R² = 0.9998; RKinetDS: β = 0.8146, R² = 0.9999).For oral suspension, Weibull model was the best fit as well (de Silva et al: β = 0.2900, R 2 = 0.9513; RKinetDS: β = 0.2101, R 2 = 0.9958).For microspheres, the Korsmeyer-Peppas model was most suitable (Murtaza et al.: K = 18.191, n = 0.487, R 2 = 0.9891; RKinetDS: K = 15.228,n = 0.5439, R 2 = 0.9841).Conclusion: RKinetDS is distinguished by advanced optimizers that enhance its ability to fit the most suitable models, a modern interface that simplifies navigation within the software, and extensive reporting options.RKinetDS supports the dosage form development process in academia and industry.RKinetDS is freely available on GitHub (github.com/AleksanderMendyk/RKinetDS_deploy) and the shinnyapps.ioplatform (jszlek.shinyapps.io/RKinetDS).