Development and characterization of fast dissolving tablets for empagliflozin
Abstract
Objective: The current study's objective is to develop and evaluate Fast dissolving tablets (FDT) for Empagliflozin. Empagliflozin, new class of oral hypoglycemic agent. It is indicated as an adjunct to exercise and diet to improve glycemic control in adult patients of type-2 diabetes. It acts by inhibiting sodium glucose co-transporter (SGLT-2). Since oral absorption of empagliflozin from tablet is comparatively poor, hence an effort was made to enhance its absorption by formulating it as the fast dissolving tablet.
Methods: Using various quantities of Kollidon-CL & Ac-Di-Sol as Superdisintegrants, FDT formulations of Empagliflozin were preared utilising the Direct Compression technique. Nine trials were developed and assessed for Pharmaceutical Product Performance.
Results: Findings indicate that all formulations meet the acceptance criteria, and kinetic modelling was applied to the in-vitro dissolution profiles.
Conclusion: The best formulation (F1) contained 6 mg of Kollidon-CL and 6 mg of Ac-Di-Sol showed promising results for obtain quicker disintegration and may produce patient compliance by means of rapid onset of action and preventing first pas effect too. Formulation (F1) follow first order, whereas release mechanism found to be non-fickian type (n= 0.762).
Read the paper
Related studies
- Strategy for Mitigating DKA Risk in Patients with Type 1 Diabetes on Adjunctive Treatment with SGLT Inhibitors: A STICH Protocol
- Glucoraphanin: a broccoli sprout extract that ameliorates obesity-induced inflammation and insulin resistance
- SGLT2 Inhibitors in Heart Failure: Targeted Metabolomics and Energetic Metabolism
- Mechanisms of blood pressure reduction with sodium-glucose co-transporter 2 (SGLT2) inhibitors
- Sodium-glucose cotransporter inhibitors: beyond glycaemic control
- Decoding the effects of SGLT2 inhibitors on cardiac arrhythmias in heart failure
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.