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Integrated control and sensing platform for biopharmaceutical cultivation process high-throughput development and production


Off-line glycosylation/titre assays after sample purification/preparation on fluidic platform

Different glycan assay formats will be tested for integration into microfluidic platform.

Data-driven models with different complexity levels related to their use (description/soft sensor/control)

Data-driven models will be derived by applying MLPCA to the datasets to determine the data-driven required number of pseudo-bioreactions. In a second step, a decision on the kinetic structure (grey-box vs black-box) will be taken with respect to the data content. Eventually, an adapted identification procedure will be applied and validated with the datasets.

Software sensors using the previously obtained models

A general observability mapping will be determined based on the previously obtained models from D8.1 and D8.2. Necessary on-line measurements will be selected and software sensors will be derived from the models and these measurements. First off-line validations of the resulting software sensors will be achieved and used as basis for further on-line validations using closed-loop controllers.

Spectral pre-processing procedures (such as outlier detection, noise reduction and smoothing) are implemented

The algorithms of outlier detection, noise reduction and smoothing are implemented and validated. Furthermore preprocessing procedures like deviation-, distance- and density-based approaches are implemented in the evaluation program.

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High-Throughput Quantification and Glycosylation Analysis of Antibodies Using Bead-Based Assays

Author(s): Sebastian Giehring
Published in: Animal Cell Biotechnology - Methods and Protocols, Issue 2095, 2020, Page(s) 271-284
DOI: 10.1007/978-1-0716-0191-4_15