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A Critical Review of Recent Trends, and a Future Perspective of Optical Spectroscopy as PAT in Biopharmaceutical Downstream Processing

Rolinger, Laura, Rüdt, Matthias, Hubbuch, Jürgen·2020·Analytical and Bioanalytical Chemistry
DOI 10.1007/s00216-020-02407-zPMC PMC7072065
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Abstract

As competition in the biopharmaceutical market gets keener due to the market entry of biosimilars, process analytical technologies (PATs) play an important role for process automation and cost reduction. This article will give a general overview and address the recent innovations and applications of spectroscopic methods as PAT tools in the downstream processing of biologics. As data analysis strategies are a crucial part of PAT, the review discusses frequently used data analysis techniques and addresses data fusion methodologies as the combination of several sensors is moving forward in the field. The last chapter will give an outlook on the application of spectroscopic methods in combination with chemometrics and model predictive control (MPC) for downstream processes.

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  • Raman spectroscopy is sensitive to fluorescent backgrounds, which can obscure Raman signals in certain samples.

    “One of Raman's limitations is its sensitivity to fluorescent backgrounds, which can obscure Raman signals in certain samples [72].”

    From Current PAT Landscape in the Downstream Processing of Biopharmaceuticals (2025) · cites this paper as [72]

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Cited by

Sorted by citations

Authors
Rolinger, L., Rüdt, M., & Hubbuch, J.
Venue
Analytical and Bioanalytical Chemistry
Publisher
Springer Science and Business Media LLC
Published
2020-03-07
Volume
412
Issue
9
Pages
2047-2064
ISSN
  • 1618-2642
  • 1618-2650
DOI
10.1007/s00216-020-02407-z
PMC
PMC7072065
Cited by
116
References
9
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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