Evaluation of process simulation as a decisional tool for biopharmaceutical contract development and manufacturing organizations

被引:14
|
作者
Pleitt, Kristina [1 ]
Somasundaram, Balaji [1 ,4 ]
Johnson, Bradley [2 ]
Shave, Evan [1 ,3 ]
Lua, Linda H. L. [1 ,4 ]
机构
[1] Univ Queensland, Australian Res Council Training Ctr Biopharmaceut, Australian Inst Bioengn & Nanotechnol, Brisbane, Qld 4072, Australia
[2] Patheon Biol, St Louis, MO 63134 USA
[3] Patheon Biol, Brisbane, Qld 4102, Australia
[4] Univ Queensland, Prot Express Facil, Brisbane, Qld 4072, Australia
基金
澳大利亚研究理事会;
关键词
CDMO; Continuous process; Decisional tool; Bioprocess simulation; AFFINITY-CHROMATOGRAPHY; MONOCLONAL-ANTIBODIES; PROTEIN-A; PURIFICATION; DESIGN; PRODUCTIVITY; OPERATION; PLATFORM; IMPACT; COST;
D O I
10.1016/j.bej.2019.107252
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Reduction in process time due to continuous bioprocessing is appealing to biopharmaceutical contract development and manufacturing organizations (CDMOs) as it translates to an increased number of batches per year. While continuous bioprocessing can benefit clients by reducing cost of goods, end-to-end continuous bioprocessing is not practical as CDMOs must accommodate a wide range of molecules and processes. Hence, it is imperative to evaluate and customize continuous production based on client needs. This paper evaluates the application of process simulation as a decisional tool to select an appropriate downstream processing strategy. Fully continuous and hybrid (continuous Protein A operation only) downstream processing were assessed for a 2000 L fed-batch bioreactor producing 1, 5, and 10 g/L of monoclonal antibody at 40 and 200 kg production demands. Hybrid and continuous processing decreased batch duration by 20% and 60%, respectively. The largest cost reductions were observed for 5 and 10 g/L titer processes during 40 kg production. A range of factors will influence the selection of a processing method and the impact can be readily assessed using process simulation. Therefore, it is recommended that CDMOs use process simulation to ensure the most favorable processing strategy is selected.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Integrated Simulation Method for Interaction between Manufacturing Process and Machine Tool
    Chen Wanqun
    Huo Dehong
    Xie Wenkun
    Teng Xiangyu
    Zhang Jiayi
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2016, 29 (06) : 1090 - 1095
  • [32] Development of virtual machine tool for simulation and evaluation
    Lee R.S.
    Ren M.K.
    Computer-Aided Design and Applications, 2011, 8 (06): : 849 - 858
  • [33] Development of a Vehicle Model/Simulation Evaluation Tool
    Howe, J. Gavin
    Chrstos, Jeffrey P.
    Romano, Richard
    O'Kins, James
    SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES, 2009, 1 (01) : 89 - 99
  • [34] Development and evaluation of writing process supporting tool
    Horii, T
    Fujitani, S
    Akahori, K
    ADVANCED RESEARCH IN COMPUTERS AND COMMUNICATIONS IN EDUCATION, VOL 2: NEW HUMAN ABILITIES FOR THE NETWORKED SOCIETY, 1999, 55 : 415 - 418
  • [35] The role of media development in process optimization: An historical perspective - The development of culture media continues to improve biopharmaceutical manufacturing processes
    Grosvenor, Sally
    BIOPHARM INTERNATIONAL, 2008, : 28 - +
  • [36] BIOPROCESS SIMULATION - A NEW TOOL FOR PROCESS-DEVELOPMENT
    EVANS, LB
    FIELD, RP
    BIO-TECHNOLOGY, 1988, 6 (02): : 200 - 203
  • [37] Simulation-based deburring tool and process development
    Schuetzer, Klaus
    Abele, Eberhard
    Gueth, Sebastian
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2015, 64 (01) : 357 - 360
  • [39] The role of process simulation and scheduling tools in the development and manufacturing of biopharmaceuticals
    Petrides, DP
    Siletti, CA
    PROCEEDINGS OF THE 2004 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2004, : 2046 - 2051
  • [40] Evaluation of Petri net process model representation as a tool of virtual manufacturing
    Horvath, L
    Rudas, IJ
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 178 - 183