Process Analysis and Technology, Reutlingen Research Institute, Reutlingen University, Alteburgstr. 150, D-72762, Reutlingen, Germany.
Anal Bioanal Chem. 2020 May;412(14):3359-3371. doi: 10.1007/s00216-019-02322-y. Epub 2020 Jan 2.
The critical process parameters cell density and viability during mammalian cell cultivation are assessed by UV/VIS spectroscopy in combination with multivariate data analytical methods. This direct optical detection technique uses a commercial optical probe to acquire spectra in a label-free way without signal enhancement. For the cultivation, an inverse cultivation protocol is applied, which simulates the exponential growth phase by exponentially replacing cells and metabolites of a growing Chinese hamster ovary cell batch with fresh medium. For the simulation of the death phase, a batch of growing cells is progressively replaced by a batch with completely starved cells. Thus, the most important parts of an industrial batch cultivation are easily imitated. The cell viability was determined by the well-established method partial least squares regression (PLS). To further improve process knowledge, the viability has been determined from the spectra based on a multivariate curve resolution (MCR) model. With this approach, the progress of the cultivations can be continuously monitored solely based on an UV/VIS sensor. Thus, the monitoring of critical process parameters is possible inline within a mammalian cell cultivation process, especially the viable cell density. In addition, the beginning of cell death can be detected by this method which allows us to determine the cell viability with acceptable error. The combination of inline UV/VIS spectroscopy with multivariate curve resolution generates additional process knowledge complementary to PLS and is considered a suitable process analytical tool for monitoring industrial cultivation processes.
在哺乳动物细胞培养过程中,通过紫外/可见(UV/VIS)光谱学结合多元数据分析方法来评估关键过程参数——细胞密度和细胞活力。这种直接的光学检测技术使用商业光学探头以无标记的方式获取光谱,无需信号增强。在培养过程中,采用反向培养方案,通过指数替换不断增长的中国仓鼠卵巢细胞批次中的细胞和代谢物,同时用新鲜培养基来模拟指数增长阶段。为了模拟死亡阶段,将一批正在生长的细胞逐步替换为一批完全饥饿的细胞。因此,很容易模拟工业批式培养的最重要部分。细胞活力通过成熟的偏最小二乘回归(PLS)方法确定。为了进一步提高过程知识水平,还根据多元曲线分辨(MCR)模型从光谱中确定了细胞活力。通过这种方法,可以仅基于 UV/VIS 传感器连续监测培养过程。因此,可以在线监测哺乳动物细胞培养过程中的关键过程参数,特别是活细胞密度。此外,该方法还可以检测到细胞死亡的开始,使我们能够以可接受的误差确定细胞活力。在线 UV/VIS 光谱学与多元曲线分辨的结合产生了与 PLS 互补的额外过程知识,被认为是监测工业培养过程的合适过程分析工具。