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February 19, 2026Proteomes0 citationsOpen Access

Scout-Triggered Multiple Reaction Monitoring Enables Robust Quantification of Host Cell Proteins Across Bioprocess Matrices

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JFJulie FlecheuxUniversité Claude Bernard Lyon 1CBChloé BardetLHLaura HermentAguettant (France)

Key Points

  • To enhance the quantification of host cell proteins using a robust MRM technique across diverse bioprocess matrices.
  • Implemented scout-triggered MRM acquisition strategy for peptide detection.
  • Targeted assay included 240 peptides from 97 CHO-derived HCPs.
  • Analyzed varied bioprocess matrices without method re-optimization.
  • Enabled detection of HCPs within a single injection.
  • Quantified HCPs down to 2.9 ppm in purified drug substances.
  • Achieved absolute quantification spanning six orders of magnitude.

Abstract

Background: Host cell proteins (HCPs) are process-related impurities that must be monitored in biopharmaceutical products due to their potential impact on product quality and patient safety. Targeted LC–MS/MS approaches such as multiple reaction monitoring (MRM) enable protein-specific HCP quantification but are difficult to apply in highly multiplexed assays because of retention time (RT) variability across complex bioprocess matrices. Methods: Here, we show that conventional RT-scheduled MRM workflows lack transferability when applied to heterogeneous drug substances and process intermediates. Using a targeted assay comprising 240 peptides corresponding to 97 CHO-derived HCPs, RT shifts of several minutes resulted in truncated chromatographic peaks and peptide signal loss, even when wide scheduling windows were used. To overcome this limitation, a scout-triggered MRM (st-MRM) acquisition strategy based on event-driven monitoring was implemented. Results: This approach enabled robust peptide detection across diverse matrices within a single injection, without method re-optimization. Absolute quantification using stable isotope-labeled peptides spanned six orders of magnitude, with HCPs quantified down to 2.9 ppm in purified drug substances. Conclusion: Overall, st-MRM improves the robustness and transferability of highly multiplexed targeted proteomics workflows for HCP analysis.

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Cite This Study

Flecheux et al. (2026) studied this question.

synapsesocial.com/papers/6996a8c7ecb39a600b3efd08https://doi.org/10.3390/proteomes14010009
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