吴韬,梁立鹏,张冉,罗安,温振国,王学重

• 1:北京石油化工学院 新材料与化工学院，恩泽生物质精细化工北京市重点实验室，北京 102617

摘要(Abstract)：

为了实现悬浮动物细胞培养过程细胞生长状态和生化指标的实时在线检测，以中国仓鼠卵巢细胞(CHO)培养过程为研究对象，采用原位显微镜和在线拉曼光谱仪实时在线获得CHO细胞培养体系的图像和拉曼光谱图，并通过实时在线图像处理和基于遗传算法结合偏最小二乘法的化学计量学建模，分别实时获得培养体系中细胞的密度、直径分布、培养液中葡萄糖和乳酸浓度。图像处理结果与离线生化分析仪结果相一致；葡萄糖质量浓度校正模型的预测均方根误差(RMSEP)为0.085 g×L^-1，预测决定系数R_P²为0.999，乳酸质量浓度校正模型RMSEP为0.055 g×L^-1，R_P²为0.966。结果表明，上述检测方法可用于细胞培养过程的细胞密度、直径分布和2个生化指标的实时准确监测，减少了离线检测的繁琐和染菌风险。

关键词(KeyWords)： 过程分析技术;原位显微镜成像;在线拉曼光谱仪;图像处理;细胞培养监测;遗传算法

Abstract:

Keywords:

基金项目(Foundation): 北京市科技新星计划(Z211100002121024)；北京石油化工学院交叉学科探索项目(BIPTCSF-001)；国家自然科学基金重点项目(61633006)

作者(Author): 吴韬,梁立鹏,张冉,罗安,温振国,王学重

DOI: 10.3969/j.issn.1003-9015.2023.03.012

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