Sample Preparation, HPLC, LC/TOF, LC/HRMS, LC/MS, GPC/SEC
IndustriesPharma & Biopharma
ManufacturerWaters
Importance of Topic
Modern biotherapeutic development relies on rapid, reliable, and user-friendly at-line analytical solutions to monitor both process parameters and product quality attributes. Integrating advanced LC-MS with automated sample preparation and intuitive informatics bridges the gap between core analytical laboratories and bioprocess teams, accelerating decision-making in upstream cell culture and accelerating time to clinic.
Study Objectives and Overview
This collection of application notes from Waters demonstrates end-to-end at-line solutions for upstream bioprocessing. Key goals:
- Implement high-resolution LC-MS workflows for cell culture media nutrient and metabolite profiling
- Monitor intact monoclonal antibodies (mAbs) and subunit product quality attributes (glycans, modifications)
- Develop high-throughput automated sample preparation using the Andrew+ pipetting robot
- Provide walk-up interfaces and integrated informatics (waters_connect, OneLab) for non-MS experts
Methodology and Instrumentation
Advanced technologies combined in unified workflows:
- Liquid Chromatography–Mass Spectrometry: BioAccord™ LC-MS System with ACQUITY™ Premier columns and RDa/Tof detection for cell culture media and protein/subunit analysis
- Automation: Andrew+™ Pipetting Robot (Extraction+ and Heater/Shaker+ modules) for automated dilution, Protein A capture, FabRICATOR digestion, glycan labeling, buffer exchange, and cleanup
- Informatics: waters_connect™ and UNIFI™ platforms with dedicated applications (Intact Mass™, Peptide MAM, Glycan Screening) to automate data acquisition, processing, trending, and reporting
- Integration: Sample information exchange with Sartorius Ambr® high-throughput reactors via OneLab data interface
Results and Discussion
1. Cell Culture Media Profiling:
- Screened 200+ compounds in spent media using nine-minute LC-MS method
- Accurate monitoring of amino acids, vitamins, nucleotides, and metabolites with multivariate data analysis (MVDA)
- Rapid 2.4-minute SEC-FLR method for direct titer and aggregate analysis in cell culture samples
- High sensitivity with 0.05–0.5 µL sample loads and extended column lifetimes
- High-throughput FabRICATOR digestion and LC-MS subunit screening for glycoform distribution and low-level PTMs
- Automated RapiZyme™ trypsin digestion and focused peptide mapping to quantify site-specific modifications (oxidation, deamidation, glycation)
- Automated GlycoWorks™ RapiFluor-MS protocol with added diafiltration for mAbs in any buffer or concentration
- Five-minute UPLC-MS method yields reproducible high- and low-abundance glycan profiles
- OneLab interface to trigger Andrew+ sample prep and BioAccord acquisition in a single walk-up workflow
- Bioprocess engineers can generate intact mass and media data at point of need without LC-MS expertise
Benefits and Practical Applications
- High throughput: 48-sample prep in 2–4 hours and sub-10-minute sample LC-MS runs
- Low sample consumption: µg-level loads suitable for microbioreactors
- Flexibility: workflows adaptable to any buffer or sample concentration
- Data quality: high sensitivity, reproducibility, and integrated reporting templates
- Empowerment: non-specialists can perform advanced LC-MS analytics on-site
Future Trends and Potential Applications
Continued evolution will focus on:
- Deeper multi-attribute monitoring combining intact, subunit, peptide, and glycan mapping in a single run
- Expanded on-board data analytics with AI-driven process insights via MVDA and predictive modeling
- Integration with other PAT tools (online UV, Raman, HPLC) for real-time bioreactor control
- Application to novel modalities: fusion proteins, cell and gene therapies, oligonucleotides
Conclusion
By combining robust LC-MS platforms, advanced sample preparation automation, and user-friendly informatics, Waters At-line Solutions for Upstream Bioprocessing enable rapid, reproducible, and accessible process and product attribute monitoring. These technologies empower bioprocess engineers to make data-driven decisions in real time, shortening development timelines and enhancing product quality.
References
1. Alelyunas YW et al. Cyt. J. Bioprocess Technol. 2021; 720007359EN
2. Shion H et al. Waters Application Note 720007547. 2022
3. Koza SM et al. Waters Application Note 720008042. 2023
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