The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Expediting online liquid chromatography for real-time monitoring of product attributes to advance process analytical technology in downstream processing of biopharmaceuticals
Abstract
The application of Process Analytical Technology (PAT) principles for manufacturing of biotherapeutics proffers the prospect of ensuring consistent product quality along with increased productivity as well as substantial cost and time savings. Although this paradigm shift from a traditional, rather rigid manufacturing model to a more scientific, risk-based approach has been advocated by health authorities for almost two decades, the practical implementation of PAT in the biopharmaceutical industry is still limited by the lack of fit-for-purpose analytical methods. In this regard, most of the proposed spectroscopic techniques are sufficiently fast but exhibit deficiencies in terms of selectivity and sensitivity, while well-established offline methods, such as (ultra-)high-performance liquid chromatography, are generally considered as too slow for this task. To address these reservations, we introduce here a novel online Liquid Chromatography (LC) setup that was specifically designed to enable real-time monitoring of critical product quality attributes during time-sensitive purification operations in downstream processing. Using this online LC solution in combination with fast, purpose-built analytical methods, sampling cycle times between 1.30 and 2.35 min were achieved, without compromising on the ability to resolve and quantify the product variants of interest. The capabilities of our approach are ultimately assessed in three case studies, involving various biotherapeutic mo…
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“This setup achieved faster measurements with shorter sampling times ranging from 1.30 to 2.35 min [85].”
From Current PAT Landscape in the Downstream Processing of Biopharmaceuticals (2025) · cites this paper as [85]
Citations
Cites
Understanding pharmaceutical quality by design
Yu, L. X., Amidon, G., Khan, M. A., Hoag, S. W., Polli, J., Raju, G. K., & Woodcock, J. (2014) · The AAPS Journal · doi:10.1208/s12248-014-9598-3 · Cited by 1,475
Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
Simon, L. L., Pataki, H., Marosi, G., Meemken, F., Hungerbühler, K., Baiker, A., Tummala, S., Glennon, B., Kuentz, M., Steele, G., et al. (2015) · Organic Process Research & Development · doi:10.1021/op500261y · Cited by 439
Process Analytical Technologies – Advances in bioprocess integration and future perspectives
Gerzon, G., Sheng, Y., & Kirkitadze, M. (2022) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2021.114379 · Cited by 176
The role of Raman spectroscopy in biopharmaceuticals from development to manufacturing
Esmonde-White, K. A., Cuellar, M., & Lewis, I. R. (2022) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03727-4 · Cited by 152
Rolinger, L., Rüdt, M., & Hubbuch, J. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-020-02407-z · Cited by 126
Wang, C., Mulagapati, S. H. R., Chen, Z., Du, J., Zhao, X., Xi, G., Chen, L., Linke, T., Gao, C., Schmelzer, A. E., et al. (2019) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2019.09.006 · Cited by 105
Online NMR and HPLC as a Reaction Monitoring Platform for Pharmaceutical Process Development
Foley, D. A., Wang, J., Maranzano, B. J., Zell, M. T., Márquez, B. L., Xiang, Y., & Reid, G. L. (2013) · Analytical Chemistry · doi:10.1021/ac402382d · Cited by 95
Bhatia, H., Mehdizadeh, H., Drapeau, D., & Yoon, S. (2018) · Engineering in Life Sciences · doi:10.1002/elsc.201700084 · Cited by 87
Goyon, A., Beck, A., Colas, O., Sandra, K., Guillarme, D., & Fekete, S. (2016) · Journal of Chromatography A · doi:10.1016/j.chroma.2016.11.056 · Cited by 87
Rüdt, M., Briskot, T., & Hubbuch, J. J. (2016) · Journal of Chromatography A · doi:10.1016/j.chroma.2016.11.010 · Cited by 85
Cited by
Current PAT Landscape in the Downstream Processing of Biopharmaceuticals
Sathiyapriyan, P., Mukherjee, S., Vogel, T., Essen, L., Boerema, D., Vey, M., & Kalina, U. (2025) · Analytical Science Advances · doi:10.1002/ansa.70013 · Cited by 45
Metadata
- Authors
- Graf, T., Naumann, L., Bonnington, L., Heckel, J., Spensberger, B., Klein, S., Brey, C., Nachtigall, R., Mroz, M., Hogg, T. V., McHardy, C., Martinez, A., Braaz, R., & Leiss, M.
- Venue
- Journal of Chromatography A
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 1729
- Pages
- 465013
- ISSN
- 0021-9673
- Cited by
- 24
- References
- 39
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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- The paper
- Graf, T., Naumann, L., Bonnington, L., Heckel, J., Spensberger, B., Klein, S., Brey, C., Nachtigall, R., Mroz, M., Hogg, T. V., McHardy, C., Martinez, A., Braaz, R., & Leiss, M. (2024). Expediting online liquid chromatography for real-time monitoring of product attributes to advance process analytical technology in downstream processing of biopharmaceuticals. Journal of Chromatography A. https://doi.org/10.1016/j.chroma.2024.465013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.