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Charge-detection mass spectrometry (CDMS) enables direct measurement of the charge of an ion alongside its mass-to-charge ratio. CDMS offers unique capabilities for the analysis of samples where isotopic resolution or the separation of charge states cannot be achieved, i.e., heterogeneous macromolecules or highly complex mixtures. CDMS is usually performed using static nano-electrospray ionization-based direct infusion with acquisition times in the range of several tens of minutes to hours. Whether CDMS analysis is also attainable on shorter time scales, e.g., comparable to chromatographic peak widths, has not yet been extensively investigated. In this contribution, we probed the compatibility of CDMS with online liquid chromatography interfacing. Size exclusion chromatography was coupled to CDMS for separation and mass determination of a mixture of transferrin and β-galactosidase. Molecular masses obtained were compared to results from mass spectrometry based on ion ensembles. A relationship between the number of CDMS spectra acquired and the achievable mass accuracy was established. Both proteins were found to be confidently identified using CDMS spectra obtained from a single chromatographic run when peak widths in the range of 1.4–2.5 min, translating to 140–180 spectra per protein were achieved. After demonstration of the proof of concept, the approach was tested for the characterization of the highly complex glycoprotein α-1-acid glycoprotein and the Fc-fusion protein etanercept. With chromatographic peak widths of approximately 3 min, translating to ∼200 spectra, both proteins were successfully identified, demonstrating applicability for samples of high inherent molecular complexity.

The proportion of full and empty capsids represents a critical quality attribute of adeno-associated virus (AAV)-based therapeutics. In this study, pH-gradient anion exchange chromatography was utilized for the separation of full and empty capsid species. The developed method allowed for applicability to multiple AAV serotypes and facilitated subsequent mass spectrometric detection of intact AAVs. This is the first study demonstrating generic applicability as well as mass spectrometric compatibility, allowing for a more sophisticated analysis of AAV-based gene therapy and paving the way for future developments in the field.

Adeno-associated viruses (AAVs) are commonly used as vectors for the delivery of gene therapy targets. Characterization of AAV capsid proteins (VPs) and their post-translational modifications (PTMs) have become a critical attribute monitored to evaluate product quality. Liquid chromatography–mass spectrometry (LC–MS) analysis of intact AAV VPs provides both quick and reliable serotype identification as well as proteoform information on each VP. Incorporating these analytical strategies into rapid good manufacturing practice (GMP)-compliant workflows containing robust, but simplified, data processing methods is necessary to ensure effective product quality control (QC) during production. Here, we present a GMP-compliant LC–MS workflow for the rapid identification and in-depth characterization of AAVs. Hydrophilic interaction liquid chromatography (HILIC) MS with difluoroacetic acid as a mobile phase modifier is utilized to achieve the intact separation and identification of AAV VPs and their potential proteoforms. Peptide mapping is performed to confirm PTMs identified during intact VP analysis and for in-depth PTM characterization. The intact separations platform is then incorporated into a data processing workflow developed using GMP-compliant software capable of rapid AAV serotype identification and, if desired, specific serotype PTM monitoring and characterization. Such a platform provides product QC capabilities that are easily accessible in a regulatory setting.

The present article explores potential success factors of sports mobile apps by the example of Freeletics. Our analysis followed a two-sided approach: On the one hand, Freeletics is discussed in light of existing research and theory, with a focus on psychology, motivation theory and behavior change. On the other hand, we present a survey among 113 Freeletics users with interesting implications for app design. The analysis reveals that Freeletics actually makes use of a number of aspects and psychological mechanisms that previous research identified as important for physical activity apps and behavior change in general. Altogether, the present case highlights the importance to integrate psychological knowledge in technology design.

Adeno-associated virus (AAV)-based gene therapy is a rapidly developing field, requiring analytical methods for detailed product characterization. One important quality attribute of AAV products that requires monitoring is the amount of residual empty capsids following downstream processing. Traditionally, empty and full particles are quantified via analytical ultracentrifugation as well as anion exchange chromatography using ultraviolet or fluorescence detection. Here, we present a native mass spectrometry-based approach to assess the ratio of empty to full AAV-capsids without the need for excessive sample preparation. We report the rapid determination of the relative amount of empty capsids in AAV5 and AAV8 samples. The results correlate well with more conventional analysis strategies, demonstrating the potential of native mass spectrometry for the characterization of viral particles.