Literature DB >> 32776504

Real-time monitoring of quality attributes by in-line Fourier transform infrared spectroscopic sensors at ultrafiltration and diafiltration of bioprocess.

Dhanuka P Wasalathanthri1, Hasin Feroz1, Neha Puri1, Jessica Hung1, Gregory Lane2, Melissa Holstein1, Letha Chemmalil1, Douglas Both2, Sanchayita Ghose1, Julia Ding1, Zheng Jian Li1.   

Abstract

Technologies capable of monitoring product quality attributes and process parameters in real time are becoming popular due to the endorsement of regulatory agencies and also to support the agile development of biotherapeutic pipelines. The utility of vibrational spectroscopic techniques such as Fourier transform mid-infrared (Mid-IR) and multivariate data analysis (MVDA) models allows the prediction of multiple critical attributes simultaneously in real time. This study reports the use of Mid-IR and MVDA model sensors for monitoring of multiple attributes (excipients and protein concentrations) in real time (measurement frequency of every 40 s) at ultrafiltration and diafiltration (UF/DF) unit operation of biologics manufacturing. The platform features integration of fiber optic Mid-IR probe sensors to UF/DF set up at the bulk solution and through a flow cell at the retentate line followed by automated Mid-IR data piping into a process monitoring software platform with pre-loaded partial least square regression (PLS) chemometric models. Data visualization infrastructure is also built-in to the platform so that upon automated PLS prediction of excipients and protein concentrations, the results were projected in a graphical or numerical format in real time. The Mid-IR predicted concentrations of excipients and protein show excellent correlation with the offline measurements by traditional analytical methods. Absolute percent difference values between Mid-IR predicted results and offline reference assay results were ≤5% across all the excipients and the protein of interest; which shows a great promise as a reliable process analytical technology tool.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  Fourier transform mid-infrared spectroscopy; multivariate data analysis; process analytical technology; real-time monitoring

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Year:  2020        PMID: 32776504     DOI: 10.1002/bit.27532

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  2 in total

1.  Proton-transfer-reaction mass spectrometry (PTR-MS) for online monitoring of glucose depletion and cell concentrations in HEK 293 gene therapy processes.

Authors:  Benjamin Bayer; Andreas Maccani; Johanna Jahn; Mark Duerkop; Ewald Kapeller; Robert Pletzenauer; Barbara Kraus; Gerald Striedner; Juan A Hernandez Bort
Journal:  Biotechnol Lett       Date:  2021-11-12       Impact factor: 2.461

2.  Technology transfer of a monitoring system to predict product concentration and purity of biopharmaceuticals in real-time during chromatographic separation.

Authors:  Anna Christler; Theresa Scharl; Dominik G Sauer; Johannes Köppl; Anne Tscheließnig; Cabir Toy; Michael Melcher; Alois Jungbauer; Astrid Dürauer
Journal:  Biotechnol Bioeng       Date:  2021-07-03       Impact factor: 4.530

  2 in total

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