Literature DB >> 27324662

A versatile noninvasive method for adsorber quantification in batch and column chromatography based on the ionic capacity.

Thiemo C Huuk1, Till Briskot1, Tobias Hahn1, Jürgen Hubbuch1.   

Abstract

Within the Quality by Design (QbD) framework proposed by the International Conference on Harmonisation (ICH), high-throughput process development (HTPD) and mechanistic modeling are of outstanding importance for future biopharmaceutical chromatography process development. In order to compare the data derived from different column scales or batch chromatographies, the amount of adsorber has to be quantified with the same noninvasive method. Similarly, an important requirement for the implementation of mechanistic modeling is the reliable determination of column characteristics such as the ionic capacity Λ for ion-exchange chromatography with the same method at all scales and formats. We developed a method to determine the ionic capacity in column and batch chromatography, based on the adsorption/desorption of the natural, uv-detectable amino acid histidine. In column chromatography, this method produces results comparable to those of classical acid-base titration. In contrast to acid-base titration, this method can be adapted to robotic batch chromatographic experiments. We are able to convert the adsorber volumes in batch chromatography to the equivalent volume of a compressed column. In a case study, we demonstrate that this method increases the quality of SMA parameters fitted to batch adsorption isotherms, and the capability to predict column breakthrough experiments.
© 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:666-677, 2016. © 2016 American Institute of Chemical Engineers.

Entities:  

Keywords:  adsorber quantification; high-throughput process development; ionic capacity; mechanistic modeling; multiple scale modeling

Mesh:

Substances:

Year:  2016        PMID: 27324662     DOI: 10.1002/btpr.2228

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  2 in total

1.  Digital Twins in Biomanufacturing.

Authors:  Steffen Zobel-Roos; Axel Schmidt; Lukas Uhlenbrock; Reinhard Ditz; Dirk Köster; Jochen Strube
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

2.  Chromatographic parameter determination for complex biological feedstocks.

Authors:  Silvia M Pirrung; Diogo Parruca da Cruz; Alexander T Hanke; Carmen Berends; Ruud F W C Van Beckhoven; Michel H M Eppink; Marcel Ottens
Journal:  Biotechnol Prog       Date:  2018-07-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.