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Research Paper | Biological Engineering | Iraq | Volume 6 Issue 8, August 2017 | Popularity: 6.5 / 10
Mathematical Modeling of Delayed Release Dosage Form Dissolution Test and Bioavailability
Auns Hashem, Fadhil Abid, Khawla Rasheed
Abstract: In this study in-vitro dissolution of modified release diclofenac sodium (DS) dosage form were studied, a100 mg DS tablets were tested under simulated gastric and intestinal medium according to united states pharmacopoeia (USP), the data were modeled mathematically to identify to which model the drug release is fitted using linear regression analysis. In-vivo the pharmacokinetic parameters were evaluated by administrating the drug to seven healthy volunteers, DS concentrations in plasma was measured using revers phase high performance liquid chromatography (HPLC). Primary kinetic parameters AUC_ (0), C_max, t_max, and other kinetic parameters where obtained using non compartmental analysis. In-vivo study accomplished using compartmental analysis, the data analyzed as single compartment model with single time variant input and single time variant output. This analysis allows the data to represented in three differential equations, in-vitro the data fitted to Higuchi release model, in-vivo the data fitted to single compartment model, non-compartmental data were in accepted range.
Keywords: Dissolution, Mathematical modeling, Bioavailability, HPLC
Edition: Volume 6 Issue 8, August 2017
Pages: 18 - 23
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Biological Engineering, India, Volume 8 Issue 12, December 2019
Pages: 26 - 31Combining Studies on Preparation of Metal Nanoparticles from Plant Extracts as Nano-Antibiotic
Shivani Kushwaha, Dr. Jaya Singh Bisen, Pragya Srivastava
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Biological Engineering, Uzbekistan, Volume 8 Issue 12, December 2019
Pages: 32 - 38Distributed Species of Family Liliaceae and Iridaceae in Tarkapchigai Botanical-Geographical Region (Uzbekistan)
Azizbek S. Abduraimov, Sultankul A. Daniyarov
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Biological Engineering, India, Volume 6 Issue 3, March 2017
Pages: 204 - 207Effect of Immersion (2D vs. 3D) on Attention through Virtual Reality
Rajesh Kumar, Greeshma Sharma, Lokesh Kumar, Sushil Chandra
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Biological Engineering, India, Volume 7 Issue 8, August 2018
Pages: 10 - 13A Comprehensive Study of Machine Learning Models in Radiogenomics
Eash Sharma, Ashwin Garg