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Pharmaceutical Sciences Experts

Dr. Rahul Haware

Assistant Professor
Pharmaceutical Sciences
Campbell University
United States of America

Biography

Dr. Rahul Haware’s is an assistant professo in the deaprtment of pharmaceutical sciences iin Campbell University. He obtained his PhD from in Pharmaceutics from University of Tromso, Norway. His main research focus is on the emerging field of ‘Pharmaceutical Material Science’ to investigate the impact of the physico-mechanical properties of crystalline and amorphous materials on their final dosage form design. These properties include: particle size, shape, surface area, crystal structure, lattice energy, crystal forms (i.e. polymorphs and hydrates), relative crystallinity (and amorphous content), hygroscopicity and solubility. These properties affect powder flow, mixing, compaction and physical stability. Ultimately, they determine the final dosage form performance. The focus of his research is to use advanced analytical techniques like: powder and single crystal X-ray diffraction; differential scanning calorimetry; thermal gravimetric analysis; important modules in Material Studio®; and compaction simulator. Finally, he is interested to evaluate and model the generated information from these sophisticated techniques with the help of multivariate analysis techniques to develop predictive models within the subjected design space.

Research Interest

Pharmaceutical Material Science

Publications

  • Gupte A, DeHart M, Stagner WC, Haware RV. Comparative binder efficiency modeling of dry granulation binders using roller compaction. Drug development and industrial pharmacy. 2017 Apr 3;43(4):574-83.

  • Singaraju AB, Iyer M, Haware RV, Stevens LL. Caffeine co-crystal mechanics evaluated with a combined structural and spectroscopic approach. Crystal Growth & Design. 2016 Jul 25;16(8):4383-91.

  • Dave VS, Popielarczyk M, Boyce H, Al-Achi A, Ike-Amaechi E, Hoag SW, Haware RV. Lubricant-Sensitivity Assessment of SPRESS® B820 by Near-Infrared Spectroscopy: A Comparison of Multivariate Methods. Journal of pharmaceutical sciences. 2017 Feb 28;106(2):537-45.

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