Process modeling and optimization of batch fractional distillation to increase throughput and yield in manufacture of active pharmaceutical ingredient (API)

被引:16
|
作者
Yang, Yubo [1 ]
Tjia, Rosalin [1 ]
机构
[1] Abbott Labs, Dept 045B, N Chicago, IL 60064 USA
关键词
Fractional batch distillation; Process modeling; Pharmaceutical API purification;
D O I
10.1016/j.compchemeng.2010.03.019
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An active pharmaceutical ingredient (API) is purified by fractional batch distillation to achieve a high purity drug substance. This work is to improve the process throughput and to increase the yield using batch distillation modeling and engineering principles to better understand the process so high quality product can be produced consistently A batch of the drug substance was produced in about 7 days by batch distillation using a packed column with approximately 32 theoretical plates Process improvements were required to decrease the cycle time. Based on process modeling and other engineering principles, four process improvements have been made to increase the manufacture throughput After improvements the average cycle time has been reduced to 25 days from an average of 7 days process originally Furthermore, the yield is also increased This was achieved with the original equipment Since the changes are within the regulatory filings for the process, they are implemented quickly in commercial production. (C) 2010 Elsevier Ltd All rights reserved
引用
收藏
页码:1030 / 1035
页数:6
相关论文
共 15 条
  • [11] Process analytical technology-based (PAT) model simulations of a combined cooling, seeded and antisolvent crystallization of an active pharmaceutical ingredient (API)
    Trampuz, Marko
    Teslic, Dusan
    Likozar, Blaz
    POWDER TECHNOLOGY, 2020, 366 : 873 - 890
  • [12] De-risking Pharmaceutical Tablet Manufacture Through Process Understanding, Latent Variable Modeling, and Optimization Technologies
    Koji Muteki
    Vidya Swaminathan
    Sonja S. Sekulic
    George L. Reid
    AAPS PharmSciTech, 2011, 12 : 1324 - 1334
  • [13] De-risking Pharmaceutical Tablet Manufacture Through Process Understanding, Latent Variable Modeling, and Optimization Technologies
    Muteki, Koji
    Swaminathan, Vidya
    Sekulic, Sonja S.
    Reid, George L.
    AAPS PHARMSCITECH, 2011, 12 (04): : 1324 - 1334
  • [14] Optimization of a Crystallization Process for Orantinib Active Pharmaceutical Ingredient by Design of Experiment To Control Residual Solvent Amount and Particle Size Distribution
    Sato, Hiroyasu
    Watanabe, Shotaro
    Takeda, Daisuke
    Yano, Shingo
    Doki, Norihito
    Yokota, Masaaki
    Shimizu, Kenji
    ORGANIC PROCESS RESEARCH & DEVELOPMENT, 2015, 19 (11) : 1655 - 1661
  • [15] Comparison of One-Dimensional and Two-Dimensional Population Balance Models for Optimization of a Crystallization Process for a Needle-Shaped Active Pharmaceutical Ingredient
    Rosenbaum, Tamar
    Mbachu, Victoria
    Mitchell, Niall Anthony
    Gamble, John Francis
    Cho, Patricia
    Engstrom, Joshua D.
    ORGANIC PROCESS RESEARCH & DEVELOPMENT, 2022, 26 (04) : 1094 - 1105