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◆ AAPS PharmSciTech2026-03-03· Solubility

Rational Design of Amiodarone Co-crystals: A Synergistic Strategy Combining Computational Prediction, Precipitation-Inhibiting Polymers, and Formulation Optimisation

Rahul Jha, Smit Patel, Arzoo Sekhani, Heena A. Parmar, Nimeet Desai, Pranav Shah

原始摘要(英文原文)· Original abstract
Amiodarone hydrochloride (AMH) is a potent anti-arrhythmic drug used for the treatment of ventricular tachycardia and ventricular fibrillation, but its clinical utility is limited by low aqueous solubility (~ 0.2 mg/mL) and poor dissolution. Co-crystallisation offers a promising strategy to improve the solubility and bioavailability of Biopharmaceutics Classification System Class II drugs. This study focused on developing an immediate-release tablet containing AMH co-crystals with enhanced solubility and dissolution characteristics. Co-former selection was guided by excess enthalpy and Hansen solubility parameter calculations, leading to the synthesis of two co-crystals, amiodarone-tartaric acid and amiodarone-phthalic acid, via liquid-assisted grinding. Characterisation was performed using powder X-ray diffraction, differential scanning calorimetry, Fourier transform infrared spectroscopy and scanning electron microscopy. The amiodarone-tartaric acid co-crystal exhibited superior solubility (0.891 mg/mL and 0.583 mg/mL in acetate buffer and water, respectively) compared with the pure drug. Polymer screening identified polyethylene glycol 4000 as optimal for controlling solution-mediated phase transformation. The tablet formulation, optimised using a Design of Experiments approach, achieved more than 90% drug release in 20 min compared with 95% in 120 min for a marketed product. Stability studies confirmed retention of crystallinity, solubility, and assay after six months, demonstrating the formulation's robustness and potential clinical applicability.
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Rational Design of Amiodarone Co-crystals: A Synergistic Strategy Combining Computational Prediction, Precipitation-Inhibiting Polymers, and Formulation Optimisation — 科研速览 Science Skim