Roche Diagnostics GmbH - Pharmaceutical Biotech Production & Development, Nonnenwald 2, Penzberg, 82377 Germany.
Talanta. 2012 Feb 15;90:12-21. doi: 10.1016/j.talanta.2011.12.042. Epub 2011 Dec 22.
The application of at-line NIR transmittance spectroscopy on supernatant samples from Chinese Hamster Ovary Cells (CHO) based monoclonal antibody (Mab) cultivation processes spanning several scales from 2.5L to 1000 L, cell-lines and development years is described. The collected and preprocessed spectra were used to do process state estimation and to obtain several culture parameters. Multivariate process trajectories were computed from NIR spectra acquired at-line. These were used to enhance process understanding across different scales up to industrial scale, assess batch-to-batch variability, and examine the relative importance of different sources of process variability. Many parameters of interest in industrial cell culture, like nutrient or product concentrations can be reliably estimated by NIRS with an accuracy of 15% or better, compared to reference methods General calibrations (scale and cell-line independent) are valid across a range of process conditions and different feed regimes. The proposed approach is therefore applicable throughout process development as well as to existing large-scale validated CHO bioprocesses for continuous improvement.
在线近红外透射光谱法在不同规模(从 2.5L 到 1000L)、细胞系和开发年限的基于中国仓鼠卵巢细胞(CHO)的单克隆抗体(Mab)培养过程上清液样本中的应用,该方法涵盖了从细胞培养过程的状态估计到获得多个培养参数。从在线采集和预处理的光谱中计算出多变量过程轨迹。这些轨迹用于增强不同规模(包括工业规模)的过程理解,评估批间变异性,并检查过程变异性的不同来源的相对重要性。与参考方法相比,通过 NIRS 可以可靠地估计工业细胞培养中许多感兴趣的参数,如营养物或产物浓度,准确度在 15%或更好。通用校准(与规模和细胞系无关)在一系列过程条件和不同的饲料方案下均有效。因此,该方法适用于整个工艺开发以及现有的大型经验证的 CHO 生物工艺过程,以实现持续改进。