Literature DB >> 18825543

Estimation of drug solubility in polymers via differential scanning calorimetry and utilization of the fox equation.

Raja Haddadin1, Feng Qian, Sridhar Desikan, Munir Hussain, Ronald L Smith.   

Abstract

The solubility of drugs in polyethylene glycol 400 (PEG 400) was estimated and rank ordered using a differential scanning calorimetry (DSC) method and the Fox Equation. Drug-polymer binary mixtures of six compounds (Ibuprofen, Indomethacin, Naproxen, and three proprietary compounds: PC-1 through PC-3) with PEG 400 were heat treated using a three-cycle DSC method to establish a correlation between equilibrium solubility and temperature. Thermal events such as heat of fusion, heat of recrystallization and glass transition temperature, T(g), were used to calculate the drug solubility at multiple higher temperatures through the Fox Equation. Subsequently, a van't Hoff plot was constructed to estimate the drug solubility at room temperature, and the values were compared with those measured by HPLC. With the exception of Naproxen, room temperature solubilities of the remaining drug compounds in PEG 400 were determined by this thermal method approach, and compared with those measured by HPLC: 26.7% vs. 24.7% for Ibuprofen, 5.8% vs. 9.6% for Indomethacin, 3.1 % vs. 1.5% for PC-1, 2.3% vs. 1.3% for PC-2, and 1.4% vs. 0.2% for PC-3 in PEG 400. There was good concordance in solubility rank order estimates between the two methods. These collective results support the potential utility of the thermal method as an alternative to other methods for estimation of drug solubility in polymers which is an important determinant in the design of physically-stable amorphous systems.

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Year:  2009        PMID: 18825543     DOI: 10.1080/10837450802409370

Source DB:  PubMed          Journal:  Pharm Dev Technol        ISSN: 1083-7450            Impact factor:   3.133


  2 in total

1.  Solid-state characterization of Felodipine-Soluplus amorphous solid dispersions.

Authors:  Jiannan Lu; Kristina Cuellar; Nathan I Hammer; Seongbong Jo; Andreas Gryczke; Karl Kolter; Nigel Langley; Michael A Repka
Journal:  Drug Dev Ind Pharm       Date:  2015-11-04       Impact factor: 3.225

2.  Optimization and Prediction of Ibuprofen Release from 3D DLP Printlets Using Artificial Neural Networks.

Authors:  Marijana Madzarevic; Djordje Medarevic; Aleksandra Vulovic; Tijana Sustersic; Jelena Djuris; Nenad Filipovic; Svetlana Ibric
Journal:  Pharmaceutics       Date:  2019-10-18       Impact factor: 6.321

  2 in total

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