1717870562352
This research study describes the formulation and evaluation of Mirtazapine Controlled Release (CR) tablets, intended to improve therapeutic efficacy and patient compliance. Utilizing pharmacokinetic data from the USFDA-approved Remeron Immediate-Release (IR) tablets, we constructed a plasma profile curve and calculated the following pharmacokinetic parameters Cmax, T max, AUC, Vd, and Ke. The principle of superposition method was employed to simulate steady-state plasma concentrations (Css), establishing target Css max and Css min values. These targets guided the development of our controlled Release Formulation, which was designed to achieve a zero-order release mechanism. The dose and release rate of the proposed controlled release tablets were precisely adjusted to meet the targeted Css max and Css min concentrations. Our formulation strategy utilized different hydrophilic polymers such as HPMC, Carbopol and Polyethylene oxide to create a robust ER matrix, we employed D optimal mixture design to optimize the concentration of these three critical formulation variables. Dissolution studies were carried out in different media such as 0.01 N HCl, pH 4.5 Acetate buffer and pH 6.8 Phosphate buffer for14 hours to evaluate the rate, extent and drug release kinetics. The successful simulation of plasma concentrations, followed by adjustments of dose and release rate, subsequent optimization of formulation variables using Design of experiments yielded a CR tablet that meets the pharmacokinetic endpoints set by the IR reference. This innovative approach to Mirtazapine CR tablet formulation could significantly enhance the patient compliance by providing a more consistent and controlled drug delivery system.
Mirtazapine Pharmacokinetic Simulations Principle of superposition zero order release and absorption model. IR to ER/CR conversions fluctuation index Steady state plasma concentration prediction.
1717870562352
Primary Language | English |
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Subjects | Pharmaceutical Sciences, Pharmaceutical Delivery Technologies |
Journal Section | Research Article |
Authors | |
Project Number | 1717870562352 |
Publication Date | October 23, 2024 |
Submission Date | June 8, 2024 |
Acceptance Date | October 10, 2024 |
Published in Issue | Year 2024 Volume: 49 Issue: 3 |