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Automated ion exchange chromatography screening combined with in silico multifactorial simulation for efficient method development and purification of biopharmaceutical targets

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Abstract

Bioprocess development of increasingly challenging therapeutics and vaccines requires a commensurate level of analytical innovation to deliver critical assays across functional areas. Chromatography hyphenated to numerous choices of detection has undeniably been the preferred analytical tool in the pharmaceutical industry for decades to analyze and isolate targets (e.g., APIs, intermediates, and byproducts) from multicomponent mixtures. Among many techniques, ion exchange chromatography (IEX) is widely used for the analysis and purification of biopharmaceuticals due to its unique selectivity that delivers distinctive chromatographic profiles compared to other separation modes (e.g., RPLC, HILIC, and SFC) without denaturing protein targets upon isolation process. However, IEX method development is still considered one of the most challenging and laborious approaches due to the many variables involved such as elution mechanism (via salt, pH, or salt-mediated-pH gradients), stationary phase’s properties (positively or negatively charged; strong or weak ion exchanger), buffer type and ionic strength as well as pH choices. Herein, we introduce a new framework consisting of a multicolumn IEX screening in conjunction with computer-assisted simulation for efficient method development and purification of biopharmaceuticals. The screening component integrates a total of 12 different columns and 24 mobile phases that are sequentially operated in a straightforward automated fashion for both cation and anion exchange modes (CEX and AEX, respectively). Optimal and robust operating conditions are achieved via computer-assisted simulation using readily available software (ACD Laboratories/LC Simulator), showcasing differences between experimental and simulated retention times of less than 0.5%. In addition, automated fraction collection is also incorporated into this framework, illustrating the practicality and ease of use in the context of separation, analysis, and purification of nucleotides, peptides, and proteins. Finally, we provide examples of the use of this IEX screening as a framework to identify efficient first dimension (1D) conditions that are combined with MS-friendly RPLC conditions in the second dimension (2D) for two-dimensional liquid chromatography experiments enabling purity analysis and identification of pharmaceutical targets.

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Acknowledgements

The authors would like to thank MRL Postdoctoral Research Fellow Program for sponsoring this research (G.L.L.).

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Authors and Affiliations

  1. Analytical Research and Development, MRL, Merck & Co., Inc., 126 E. Lincoln Avenue, Rahway, NJ, 07065, USA

    Gioacchino Luca Losacco, Michael B. Hicks, Jimmy O. DaSilva, Heather Wang, Miraslava Potapenko, Fuh-Rong Tsay, Imad A. Haidar Ahmad, Ian Mangion & Erik L. Regalado

  2. School of Pharmaceutical Sciences, University of Geneva, CMU, Rue Michel-Servet 1, 1211, Geneva 4, Switzerland

    Davy Guillarme

  3. Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU, Rue Michel-Servet 1, 1211, Geneva 4, Switzerland

    Davy Guillarme

Authors
  1. Gioacchino Luca Losacco
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  2. Michael B. Hicks
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  3. Jimmy O. DaSilva
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  4. Heather Wang
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  5. Miraslava Potapenko
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  6. Fuh-Rong Tsay
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  7. Imad A. Haidar Ahmad
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  8. Ian Mangion
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  9. Davy Guillarme
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  10. Erik L. Regalado
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Correspondence to Gioacchino Luca Losacco or Erik L. Regalado.

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Losacco, G.L., Hicks, M.B., DaSilva, J.O. et al. Automated ion exchange chromatography screening combined with in silico multifactorial simulation for efficient method development and purification of biopharmaceutical targets. Anal Bioanal Chem 414, 3581–3591 (2022). https://doi.org/10.1007/s00216-022-03982-z

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  • DOI: https://doi.org/10.1007/s00216-022-03982-z

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