一个强大的缩放型模型开发和单克隆抗体生物制造的过程表征,使用多变量数据分析

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Updated: May 27, 2025

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Sung-Hyuk Han1, Seo-Young Park2, Hyun-Myoung Cha3

  • 1Upstream Process Engineering, Manufacturing Science & Technology, GC Biopharma, 93, Ihyun-ro, 30beon-gil, Giheung-gu, Yongin-si, Gyeonggi-do 16924, Republic of Korea; School of Chemical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Republic of Korea.

Journal of biotechnology
|February 20, 2025
PubMed
概括

多变量数据分析 (MVDA) 有助于开发生物制造的缩放模型 (SDM). 这种方法确定了关键的过程参数,并优化了上游生物制剂的开发,以提高效率和节省成本.

关键词:
中国仓鼠的卵巢细胞培养.多变量数据分析多变量数据分析.过程的表征过程的表征.从设计开始的质量.缩小模型的缩小模型.

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