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同步荧光光谱学作为一种新工具,可实现生物工艺过程中的 PAT 应用。

Synchronous fluorescence spectroscopy as a novel tool to enable PAT applications in bioprocesses.

机构信息

IBET, Apartado 12, 2781-901 Oeiras, Portugal.

出版信息

Biotechnol Bioeng. 2011 Aug;108(8):1852-61. doi: 10.1002/bit.23131. Epub 2011 Mar 24.

Abstract

In this work, synchronous fluorescence spectroscopy (SFS) is evaluated as a new tool for real-time bioprocess monitoring of animal cell cultures. This technique presents several advantages over the traditional two-dimensional (2D) fluorometry since it provides data on various fluorescent compounds in a single spectrum, showing improved peak resolution and recording speed. Bioreactor cultures of three monoclonal antibody-producing CHO cell lines were followed in situ by both 2D and synchronous fluorometry techniques. The time profiles of the main spectral features in each data type present some differences, but principal component analysis indicated both as containing enough information to distinguish the cultures. Partial least squares regression models were then independently developed for viable cell density and antibody levels on the basis of the different fluorescence signals recorded, hiding half of the dataset for subsequent validation purposes. Regardless of the signal used, model predictions fit very well the off-line measurements; still, the synchronous spectra collected at a wavelength difference of 20 nm allowed comparable and superior performances for cell density and antibody titer, respectively, with validation accuracies higher than 91%. Therefore, SFS compares favorably with the traditional 2D approach, becoming an improved, faster option for real-time monitoring of cells and product titer over culture time. The readiness in data acquisition facilitates the design of process control strategies meeting the requirements of a PAT application.

摘要

在这项工作中,同步荧光光谱法(SFS)被评估为一种用于动物细胞培养实时生物过程监测的新工具。与传统的二维(2D)荧光法相比,该技术具有多个优势,因为它可以在单个光谱中提供各种荧光化合物的数据,从而提高了峰分辨率和记录速度。通过二维和同步荧光法对三种生产单克隆抗体的 CHO 细胞系的生物反应器培养物进行了原位跟踪。两种数据类型的主要光谱特征的时间曲线存在一些差异,但主成分分析表明,这两种方法都包含足够的信息来区分培养物。然后,根据记录的不同荧光信号,独立地为活细胞密度和抗体水平开发了偏最小二乘回归模型,将数据集的一半隐藏起来用于后续验证目的。无论使用哪种信号,模型预测都非常符合离线测量值;然而,在波长差为 20nm 处采集的同步光谱分别允许对细胞密度和抗体效价进行可比且更优的性能,验证精度高于 91%。因此,SFS 与传统的 2D 方法相比具有优势,成为一种改进的、更快的实时监测细胞和产物效价随时间变化的选择。数据采集的便利性有利于设计符合 PAT 应用要求的过程控制策略。

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