| Popis: |
Abstract Topical treatments for skin conditions offer significant benefits, yet understanding the rheological characteristics of semi-solid formulations is crucial, as they directly influence treatment adherence through their applicability. Ideally, these formulations should maintain their placement at the application site and facilitate easy spreading without requiring excessive force, particularly on painful lesions. In this study, a Python-based tool was developed to assess the rheological behavior of formulations, with a gel-cream serving as a model to demonstrate its applicability. The model formulation was created by emulsifying an oily phase, including blackcurrant oil, with an aqueous phase containing xanthan gum as a gelling agent. Rheological parameters were determined using a rotational viscometer. The prepared gel-cream exhibited pseudoplastic behavior, with viscosity decreasing as rotation speed increased. The Python tool was utilized to extract information about the rheological properties of the samples. Upon applying the data to various mathematical models, it was confirmed that the formulations displayed pseudoplasticity, with the Ostwald-de-Waele model demonstrating the best fit for all evaluated formulations. This pseudoplastic behavior was further confirmed by calculating the flow index (ɳ), which was found to be lower than 1. Open-source tools are gaining popularity across various industries due to their transparency, collaborative nature, and cost-effectiveness. They enable users to enhance product properties, explore therapeutic targets, facilitate efficient collaboration, develop customized software, create predictive models, and ensure regulatory compliance. Our study offers a precise solution for determining the rheological behavior of semi-solid formulations while mitigating human estimation errors. However, it's important to note that proficiency in programming is required to utilize this tool effectively. |
