生物反应器过程参数和酵母生物质对拉曼光谱的影响
Maarten Klaverdijk1, Mehrab Nemati1, Marcel Ottens1
1Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.
Biotechnology progress
|June 16, 2025
概括
了解拉曼光谱中的光谱扭曲是准确监测细胞培养的关键. 这项研究量化了温度,气泡和粘度影响测量的方法,改进了过程分析技术 (PAT) 模型.
科学领域:
- 生物技术是生物技术.
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 在线拉曼光谱是一种有价值的过程分析技术 (PAT),用于实时监测细胞培养.
- 使用化学测量模型进行准确的量化严重依赖于有效的预处理来纠正信号扭曲.
- 了解光谱扭曲源对于防止定量分析中的不准确性至关重要.
研究的目的:
- 为了研究由生物反应器参数变化引起的拉曼光谱中的光谱扭曲.
- 为了确定Saccharomyces cerevisiae生物质的孤立光谱贡献.
- 为了提高细胞培养分析的化学测量模型的稳定性.
主要方法:
- 使用线式拉曼光谱法与化学测量模型相结合.
- 研究了温度 (20-40°C),气泡数量和中等粘度对光谱数据的影响.
- 确定了分离的酵母生物质的光谱贡献,最高为5g/L.
主要成果:
- 温度变化导致峰值转移高达0.8厘米-1,而气泡则将峰值强度降低了高达7.93%.
- 增加的介质粘度导致了复杂的峰值转移行为.
- 酵母生物量显著减弱了拉曼光谱 (减少了高达44.6%),主要是通过信号灭绝,掩盖了蛋白质和脂质特征.
结论:
- 了解光谱扭曲源 (温度,气泡,粘度,生物质) 对于开发可靠的预处理和建模策略至关重要.
- 酵母生物质的信号灭绝是一个主要因素,需要特定的纠正方法.
- 更好的理解有助于创建适用于各种实验设置的化学测量模型.
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