Linearized Parameter Estimation Methods for Modeled Crystallization Phenomena Using In-Line Measurements and Their Application to Optimization of Partially Seeded Crystallization in Pharmaceutical Processes-Reference-Cited by-同舟云学术

Linearized Parameter Estimation Methods for Modeled Crystallization Phenomena Using In-Line Measurements and Their Application to Optimization of Partially Seeded Crystallization in Pharmaceutical Processes

Published:2022 Issue: Volume: Page:53-77
ISSN:1931-6828
Container-title:Optimization of Pharmaceutical Processes
language:
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Author:

Hirasawa Izumi,Unno Joi,Masaki Ikuma

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90924-6_3

Reference25 articles.

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3. Worlitschek J, Hocker T, Mazzotti M (2005) Restoration of PSD from chord length distribution data using the method of projections onto convex sets. Part Part Syst Charact 22(2): 81–98. doi:https://doi.org/10.1002/ppsc.200400872

4. Unno J, Umeda R, Hirasawa I (2018) Computing crystal size distribution by focused-beam reflectance measurement when aspect ratio varies. Chem Eng Technol 41(6): 1147–1151. doi:https://doi.org/10.1002/ceat.201700615

5. Zhang F, Liu T, Wang XZ et al (2017) Comparative study on ATR-FTIR calibration models for monitoring solution concentration in cooling crystallization. J Cryst Growth 459: 50–55. doi:https://doi.org/10.1016/j.jcrysgro.2016.11.064

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