Simplifying workflows for MAM-based critical quality attribute monitoring of biotherapeutics in process development and QC using a novel LCMS platform

Significance of the Topic

Peptide mapping coupled with high-resolution mass spectrometry is essential for characterizing and monitoring critical quality attributes of biotherapeutics during development and manufacturing. Multi-Attribute Methods (MAM) using LC-HRMS enable simultaneous assessment of multiple product quality attributes, reducing analytical burden and enhancing productivity while maintaining product safety and efficacy.

Objectives and Study Overview

This study evaluates a compact LC-TOF MS platform equipped with integrated workflow-driven informatics for peptide mapping, PQA assignment, targeted monitoring, and new peak detection. A trastuzumab sample subjected to forced degradation was used to demonstrate methodology performance in process development and quality control settings.

Methods

Sample stress conditions included pH, heat, and oxidative treatments followed by reduction, alkylation, and trypsin digestion (20:1 protein to enzyme, 4 h at 37 °C). Acidification and dilution preceded LC-MS analysis. Bioinformatic workflows in UNIFI software facilitated peptide identification, modification assignment, and the creation of a custom attribute library based on accurate mass and retention time.

Instrumentation

• Waters ACQUITY I-Class Plus UPLC with ACQUITY UPLC CSH C18 column (1.7 µm, 2.1 × 100 mm) at 60 °C
• Flow rate: 0.2 mL/min; gradient from 1% to 35% acetonitrile over 51 min (total cycle 80 min)
• Waters RDa TOF MS with ESI+ (m/z 50–2000), cone voltage 30 V, desolvation capillary 350 °C, collision energy 60–120 V
• Waters UNIFI Scientific Information System v1.9.4 for peptide mapping and attribute monitoring workflows

Main Results and Discussion

The platform successfully identified native and modified peptides, including deamidated variants, confirmed by fragment ion spectra. A custom attribute library enabled accurate mass screening and quantification of target peptides IYPTNGYR and its deamidated forms. Warning and error limits were configured for rapid identification of out-of-specification results. New or changed peaks not present in the reference sample were automatically flagged for review, demonstrating robust new peak detection capabilities.

Benefits and Practical Applications

• Streamlined GxP-compatible workflows for PQA characterization and monitoring
• Reduced analytical turnaround time through multiplexed attribute assessment
• Small-footprint, benchtop LC-TOF system suitable for process development and QC laboratories
• Integrated compliance-ready informatics supporting automated reporting and data review

Future Trends and Potential Applications

Expanding the workflow to a broader range of biotherapeutics and incorporating machine learning for enhanced peak detection are promising directions. Integration with process analytical technology (PAT) systems may enable real-time quality monitoring. Further automation of library management and reporting templates can drive workflow consistency across organizations.

Conclusion

The compact LC-TOF MS platform with workflow-driven UNIFI informatics offers an efficient solution for MAM-based PQA assignment, targeted monitoring, and new peak detection. Its ease of deployment and compliance features support streamlined biopharmaceutical development and quality control.

References

No literature references were provided in the source document.