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Automated Protein Modification Characterization of the Intact and Subunit NIST Monoclonal Antibody Reference Standard with Waters UNIFI Scientific Information System

Applications | 2017 | WatersInstrumentation
Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
Industries
Pharma & Biopharma
Manufacturer
Waters

Summary

Significance of the Topic



Monoclonal antibodies are widely used biotherapeutics and require rigorous characterization due to inherent heterogeneity arising from post-translational modifications that can affect drug efficacy and safety. Intact mass analysis and subunit profiling offer rapid assessment of key quality attributes such as glycosylation, truncation, and glycation at the protein level. Implementing an automated, integrated workflow addresses the challenges of complex data processing and ensures consistent, high-confidence results.

Study Objectives and Overview



This study leverages the NIST mAb Reference Material (RM 8671) to demonstrate a streamlined approach for characterizing intact and subunit monoclonal antibodies using a Waters UNIFI Scientific Information System coupled to a Vion IMS QTof mass spectrometer. The objectives include profiling major glycoforms, quantifying critical modifications, and evaluating reproducibility across multiple injections.

Used Instrumentation



  • Vion IMS QTof Mass Spectrometer with QuanTof2 detector
  • ACQUITY UPLC H-Class Bio System with BEH C4 column
  • ACQUITY UPLC Tunable UV detector
  • UNIFI Scientific Information System software

Methodology



Sample Preparation:
  • Intact mAb: NIST mAb diluted in ammonium acetate, optional PNGase F treatment for glycation analysis.
  • Subunit: IdeS digestion followed by partial reduction with DTT to generate LC, Fd’, and scFc fragments.

LC-MS Conditions:
  • Intact analysis: C4 column, 0.1% formic acid gradient, m/z 500–4000, ESI positive.
  • Subunit analysis: C4 column at 80 °C, formic acid and TFA in mobile phases, optimized flow rates.

Data Processing:
  • Automated acquisition and reporting in UNIFI.
  • MaxEnt1 deconvolution with manual FWHM for intact analysis and “Tof” peak width model for subunits.
  • Integrated relative quantification of modifications.

Main Results and Discussion



Intact mAb Analysis:
  • Identification of major bi-antennary glycoforms (G0F, G1F, G2F) with mass accuracy better than 10 ppm.
  • Detection of low-level alpha-gal glycoforms by UNIFI deconvolution.
  • Quantification of C-terminal lysine variants (~10.5 %), global glycation (~14.6 %), and N-terminal pyroglutamic acid (>99 %).

Subunit Analysis:
  • Clear chromatographic separation of LC, Fd’, and scFc subunits.
  • Accurate mass measurement of subunit glycoforms and glycation with “Tof” model.
  • Consistent relative quantification aligned with intact analysis and orthogonal assays.

Benefits and Practical Applications



The integrated UNIFI/Vion workflow offers a fully automated path from data acquisition to reporting, reducing expert intervention. Fast deconvolution and consistent quantification enable real-time quality control and comparability studies in mAb development and manufacturing.

Future Trends and Opportunities



Advancements in ion mobility spectrometry and high-resolution detectors will further enhance sensitivity and separation of isobaric species. Integration with multi-attribute monitoring and real-time process analytics promises more comprehensive in-line characterization for next-generation biotherapeutic workflows.

Conclusion



This study demonstrates robust, automated characterization of intact and subunit mAbs using UNIFI-controlled Vion IMS QTof, delivering high-accuracy mass measurements and reproducible modification quantification. The streamlined workflow supports accelerated product development and stringent quality control for biopharmaceuticals.

Reference



  1. Shion H, Yu YQ. High-performance Vion IMS QTof for monoclonal antibody intact and subunit mass analysis; Waters Corporation: 720005906EN, 2017.
  2. Fang J, Yu YQ, Du M, Chen W. Peptide mapping with higher confidence: application of IMS QTof MS with four-dimension peak detection; Waters Corporation: 720005905EN, 2017.

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