Suppr超能文献

利用拉曼光谱和无颗粒旁路对复杂裂解物中多相蛋白质结晶的光谱学见解。

Spectroscopic insights into multi-phase protein crystallization in complex lysate using Raman spectroscopy and a particle-free bypass.

作者信息

Wegner Christina Henriette, Eming Sebastian Mathis, Walla Brigitte, Bischoff Daniel, Weuster-Botz Dirk, Hubbuch Jürgen

机构信息

Institute of Process Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.

Institute of Biochemical Engineering, Technical University of Munich, Garching, Germany.

出版信息

Front Bioeng Biotechnol. 2024 May 15;12:1397465. doi: 10.3389/fbioe.2024.1397465. eCollection 2024.

Abstract

Protein crystallization as opposed to well-established chromatography processes has the benefits to reduce production costs while reaching a comparable high purity. However, monitoring crystallization processes remains a challenge as the produced crystals may interfere with analytical measurements. Especially for capturing proteins from complex feedstock containing various impurities, establishing reliable process analytical technology (PAT) to monitor protein crystallization processes can be complicated. In heterogeneous mixtures, important product characteristics can be found by multivariate analysis and chemometrics, thus contributing to the development of a thorough process understanding. In this project, an analytical set-up is established combining offline analytics, on-line ultraviolet visible light (UV/Vis) spectroscopy, and in-line Raman spectroscopy to monitor a stirred-batch crystallization process with multiple phases and species being present. As an example process, the enzyme alcohol dehydrogenase (LADH) was crystallized from clarified Escherichia coli () lysate on a 300 mL scale in five distinct experiments, with the experimental conditions changing in terms of the initial lysate solution preparation method and precipitant concentration. Since UV/Vis spectroscopy is sensitive to particles, a cross-flow filtration (cross-flow filtration)-based bypass enabled the on-line analysis of the liquid phase providing information on the lysate composition regarding the nucleic acid to protein ratio. A principal component analysis (PCA) of Raman spectra supported the identification of spectra and wavenumber ranges associated with productspecific information and revealed that the experiments followed a comparable, spectral trend when crystals were present. Based on preprocessed Raman spectra, a partial least squares (PLS) regression model was optimized to monitor the target molecule concentration in real-time. The off-line sample analysis provided information on the crystal number and crystal geometry by automated image analysis as well as the concentration of ADH and host cell proteins (HCPs) In spite of a complex lysate suspension containing scattering crystals and various impurities, it was possible to monitor the target molecule concentration in a heterogeneous, multi-phase process using spectroscopic methods. With the presented analytical set-up of off-line, particle-sensitive on-line, and in-line analyzers, a crystallization capture process can be characterized better in terms of the geometry, yield, and purity of the crystals.

摘要

与成熟的色谱法相比,蛋白质结晶具有降低生产成本同时达到相当高纯度的优点。然而,监测结晶过程仍然是一个挑战,因为产生的晶体可能会干扰分析测量。特别是对于从含有各种杂质的复杂原料中捕获蛋白质,建立可靠的过程分析技术(PAT)来监测蛋白质结晶过程可能会很复杂。在非均相混合物中,重要的产品特性可以通过多变量分析和化学计量学来发现,从而有助于深入了解过程。在本项目中,建立了一种分析装置,结合离线分析、在线紫外可见光谱(UV/Vis)和在线拉曼光谱,以监测存在多相和多种物质的搅拌间歇结晶过程。作为一个示例过程,在五个不同的实验中,以300 mL规模从澄清的大肠杆菌裂解物中结晶出乙醇脱氢酶(LADH),实验条件根据初始裂解物溶液制备方法和沉淀剂浓度而变化。由于UV/Vis光谱对颗粒敏感,基于错流过滤的旁路实现了对液相的在线分析,提供了关于裂解物组成中核酸与蛋白质比例的信息。拉曼光谱的主成分分析(PCA)支持识别与产品特定信息相关的光谱和波数范围,并表明当存在晶体时,实验遵循可比的光谱趋势。基于预处理的拉曼光谱,优化了偏最小二乘(PLS)回归模型以实时监测目标分子浓度。离线样品分析通过自动图像分析提供了晶体数量和晶体几何形状以及ADH和宿主细胞蛋白(HCPs)浓度的信息。尽管存在含有散射晶体和各种杂质的复杂裂解物悬浮液,但使用光谱方法仍有可能在非均相多相过程中监测目标分子浓度。通过所展示的离线、对颗粒敏感的在线和在线分析仪的分析装置,可以在晶体的几何形状、产率和纯度方面更好地表征结晶捕获过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ce6/11133712/5d1d9c93fdb4/fbioe-12-1397465-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验