Sample transformation in online separations: how chemical conversion advances analytical technology

Introducing an algorithm to accurately determine copolymer block-length distributions

BACKGROUND

Copolymers are attractive for developing advanced materials with widespread applications such as medical devices, implants, or self-healing coatings for space stations and satellites. Their physical properties are tunable by controlling polymeric characteristics such as molecular weight and chemical composition. Another characteristic that has a significant influence on the material properties is the block-length distribution (BLD). Synthetic chemists can alter the BLD independently from molecular weight and chemical composition. However, analytically characterizing these BLDs, for copolymers composed out of multiple monomers, remains a huge challenge.

RESULTS

In this study, an algorithm was developed that enables the accurate determination of copolymer BLDs. Copolymers were computationally simulated and fragmented by either a repeated-sampling approach or an analytical solution to obtain unbiased ground-truth data to objectively evaluate such algorithms. The performance of the novel analytical solution, coupled with an optimization algorithm, was assessed under various conditions. We have demonstrated that a trust-region-reflective algorithm yields highly accurate BLDs when fragment data up to the tetramer level is available. Although the presence of noise in the input data led to some noise in the output, it did not notably impact the overall performance of the algorithm.

SIGNIFICANCE

The proposed algorithm demonstrated significant improvements over existing algorithms for the determination of copolymer BLDs. Using accurately simulated copolymer fragment data, which can be obtained through chemical reactions or physical processes, such algorithms could objectively be evaluated on their performance for the first time. These observations indicate that the proposed algorithm holds great potential for application to experimental copolymer fragment data.

Characterization of monoclonal antibody charge variants under near-native separation conditions using nanoflow sheath liquid capillary electrophoresis-mass spectrometry

BACKGROUND

Monoclonal antibodies (mAbs) undergo multiple post-translational modifications (PTMs) during production and storage, resulting for instance in charge and oxidized variants. PTMs need to be assessed as critical quality attributes to assure protein quality and safety. Capillary zone electrophoresis (CZE) enables efficient charge-based separation. The CZE method developed by He et al. (2011) is currently applied routinely in the pharmaceutical industry for profiling charge heterogeneity of mAbs. However, as the method relies on a non-volatile background electrolyte (BGE), it cannot be directly hyphenated with mass spectrometry (MS), hampering the identification of separated charge variants.

RESULTS

This study presents a CZE-UV/MS method using a neutral static capillary coating of hydroxypropyl methylcellulose combined with a volatile BGE at pH 5.0 to allow for MS-compatible mAb charge variant separations. The effect of several parameters, including pH and concentration of the BGE, applied voltage, and injected mAb concentrations on separation performance was investigated using a panel of commercially available mAbs. The optimized method was evaluated with IgG1 and IgG4 mAbs of varying pI (7.4-9.2) and degrees of heterogeneity. Basic and acidic variants were separated from the parent mAb using a BGE of 50 mM acetic acid adjusted to pH 5.0 with ammonium hydroxide. The relative abundances of charge variants determined with the new method showed a good correlation with the corresponding relative levels obtained with the method of He et al. CZE-MS coupling was accomplished using the nanoCEasy, a low-flow sheath liquid interface, which enabled the identification and quantitation of basic, acidic, and incomplete pyroglutamate variants, and glycoforms of the tested mAbs.

SIGNIFICANCE

This manuscript describes a new CZE-MS method that permits heterogeneity assessment of mAbs under MS-compatible conditions, providing charge variant separation.

Multi-dimensional technology - Recent advances and applications for biotherapeutic characterization

This review provides an overview of the latest advancements and applications in multi-dimensional liquid chromatography coupled with mass spectrometry (mD-LC-MS), covering aspects such as inter-laboratory studies, digestion strategy, trapping column, and multi-level analysis. The shift from an offline to an online workflow reduces sample processing artifacts, analytical variability, analysis time, and the labor required for data acquisition. Over the past few years, this technique has demonstrated sufficient maturity for application across a diverse range of complex products. Moreover, there is potential for this strategy to evolve into an integrated process analytical technology tool for the real-time monitoring of monoclonal antibody quality. This review also identifies emerging trends, including its application to new modalities, the possibility of evaluating biological activity within the mD-LC set-up, and the consideration of multi-dimensional capillary electrophoresis as an alternative to mD-LC. As mD-LC-MS continues to evolve and integrate emerging trends, it holds the potential to shape the next generation of analytical tools, offering exciting possibilities for enhanced characterization and monitoring of complex biopharmaceutical products.