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Control and Prediction of Solid-State of Pharmaceuticals: Experimental and Computational Approaches Softcover reprint of the original 1st ed. 2016 [Mīkstie vāki]

  • Formāts: Paperback / softback, 238 pages, height x width: 235x155 mm, weight: 454 g, 77 Illustrations, color; 44 Illustrations, black and white; XXXVII, 238 p. 121 illus., 77 illus. in color., 1 Paperback / softback
  • Sērija : Springer Theses
  • Izdošanas datums: 30-Mar-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319801694
  • ISBN-13: 9783319801698
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Standarta cena: 107,69 €
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  • Formāts: Paperback / softback, 238 pages, height x width: 235x155 mm, weight: 454 g, 77 Illustrations, color; 44 Illustrations, black and white; XXXVII, 238 p. 121 illus., 77 illus. in color., 1 Paperback / softback
  • Sērija : Springer Theses
  • Izdošanas datums: 30-Mar-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319801694
  • ISBN-13: 9783319801698
Citas grāmatas par šo tēmu:
This thesis investigates a range of experimental and computational approaches for the discovery of solid forms. Furthermore, we gain, as readers, a better understanding of the key factors underpinning solid-structure and diversity. A major part of this thesis highlights experimental work carried out on two structurally very similar compounds. Another important section involves looking at the influence of small changes in structure and substituents on solid-structure and diversity using computational tools including crystal structure prediction, PIXEL calculations, Xpac, Mercury and statistical modeling tools. In addition, the author presents a fast validated method for solid-state form screening using Raman microscopy on multi-well plates to explore the experimental crystallization space. This thesis illustrates an inexpensive, practical and accurate way to predict the crystallizability of organic compounds based on molecular structure alone, and additionally highlights the molecular factors that inhibit or promote crystallization.





 
Introduction.- Aims and Objectives.- Materials and Methods.- Development and Validation of High_Throughput Crystallization and Analysis (HTCAA) Methodology for Physical Form Screening.- Predicting Crystallizability of Organic Molecules using Statistical Modelling Techniques.- Exploring Crystal Structure Landscape of Olanzapine.- Exploring the Physical Form Landscape of Clozapine, Amoxapine and Loxapine.- Conclusions and Further Work.