Literature DB >> 26829467

Optimization of a recombinant human growth hormone purification process using quality by design.

Carolina Ortiz-Enriquez1, Alexis de Jesús Romero-Díaz1, Ana V Hernández-Moreno1, Hugo F Cueto-Rojas1, Mariana P Miranda-Hernández1, Carlos A López-Morales1, Néstor O Pérez1, Rodolfo Salazar-Ceballos1, Norberto Cruz-García1, Luis F Flores-Ortiz1, Emilio Medina-Rivero1.   

Abstract

This work describes a strategy to optimize a downstream processing of a recombinant human growth hormone (rhGH) by incorporating a quality by design approach toward meeting higher quality specifications. The optimized process minimized the presence of impurities and degradation by-products during manufacturing by the establishment of in-process controls. Capillary zone electrophoresis, reverse phase, and size-exclusion chromatographies were used as analytical techniques to establish new critical process parameters for the solubilization, capture, and intermediate purification steps aiming to maintain rhGH quality by complying with pharmacopeial specifications. The results indicated that the implemented improvements in the process allowed the optimization of the specific recovery and purification of rhGH without compromising its quality. In addition, this optimization facilitated the stringent removal of the remaining impurities in further polishing stages, as demonstrated by the analysis of the obtained active pharmaceutical ingredient.

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Keywords:  Critical process parameters; critical quality attributes; process optimization; purification process; quality by design; recombinant human growth hormone

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Year:  2016        PMID: 26829467     DOI: 10.1080/10826068.2015.1135467

Source DB:  PubMed          Journal:  Prep Biochem Biotechnol        ISSN: 1082-6068            Impact factor:   2.162


  1 in total

1.  A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins.

Authors:  Kae Hwan Sim; Lillian Chia-Yi Liu; Hwee Tong Tan; Kelly Tan; Daniel Ng; Wei Zhang; Yuansheng Yang; Stephen Tate; Xuezhi Bi
Journal:  Sci Data       Date:  2020-08-11       Impact factor: 6.444

  1 in total

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