Monitoring changes over time of amino acids in cell culture supernatants by high-speed amino acid analysis
Posters | 2023 | Shimadzu | HPLC SymposiumInstrumentation
Amino acids are central to cellular metabolism, serving as building blocks for protein synthesis and energy sources. Monitoring their concentrations in cell culture supernatants over time enables researchers to assess cell health, optimize media formulations, and improve yields of biotechnological products.
This study aimed to evaluate the performance of the UF-Amino Station—a high-speed amino acid analysis system combining pre-column derivatization with APDS reagent and LC-MS detection—for time-course monitoring of 38 amino acids in CHO-K1 culture supernatants. Two culture media (A and B) were compared over a 144-hour batch culture.
Sample Preparation:
Separation and Quantitation:
The UF-Amino Station enables rapid, selective, and high-throughput analysis of amino acids in complex biological matrices. It supports:
Advancements may include integration with real-time monitoring platforms, miniaturized microfluidic systems for on-line analysis, and coupling with machine learning tools for predictive culture control. Expansion to other metabolites and cell types will broaden applicability in systems biology and bioprocess optimization.
The UF-Amino Station demonstrates efficient analysis of 38 amino acids in cell culture supernatants within 9 minutes, delivering reliable quantitation and recovery. Combined with PCA, this approach provides comprehensive insights into cellular metabolism and facilitates informed optimization of culture conditions.
Omasa Laboratory, Department of Material and Life Science, Graduate School of Engineering, Osaka University.
LC/MS, LC/SQ
IndustriesPharma & Biopharma
ManufacturerShimadzu
Summary
Importance of the Topic
Amino acids are central to cellular metabolism, serving as building blocks for protein synthesis and energy sources. Monitoring their concentrations in cell culture supernatants over time enables researchers to assess cell health, optimize media formulations, and improve yields of biotechnological products.
Aims and Study Overview
This study aimed to evaluate the performance of the UF-Amino Station—a high-speed amino acid analysis system combining pre-column derivatization with APDS reagent and LC-MS detection—for time-course monitoring of 38 amino acids in CHO-K1 culture supernatants. Two culture media (A and B) were compared over a 144-hour batch culture.
Methodology and Instrumentation
Sample Preparation:
- Tenfold dilution of supernatant in ultrapure water.
- Protein precipitation with acetonitrile and centrifugation (15,000 rpm, 10 min).
- Addition of internal standard mixture and further acetonitrile extraction.
- Automated pre-column derivatization with (3-pyridyl)-carbamic acid succinimidyl ester (APDS) using the autosampler pretreatment function.
- Separation on Shim-pack UF-Amino column (100 × 2.1 mm I.D., 2 µm) at 40 °C with gradient elution (APDSTAG® Wako Borate Buffer and acetonitrile) at 0.3 mL/min.
- Detection by LCMS-2020 with ESI probe.
- Injection volume of 5 µL; total analysis time: 9 min plus 3 min equilibration.
Main Results and Discussion
Separation and Quantitation:
- All 38 amino acids were baseline-separated within 9 minutes.
- Linearity coefficients (r2) exceeded 0.98 for all analytes across defined concentration ranges.
- Recovery rates after sample preparation ranged from 90% to 110%.
- Monitoring every 24 hours revealed distinct consumption and secretion patterns for each medium.
- Medium A showed higher uptake of alanine, glutamine, and aspartate compared to medium B.
- Principal component analysis clustered samples by medium type and cultivation time.
- Score plots indicated temporal shifts, while loading plots identified key contributors (Ala, Gln, Asp) correlating with cell concentration differences.
Benefits and Practical Applications
The UF-Amino Station enables rapid, selective, and high-throughput analysis of amino acids in complex biological matrices. It supports:
- Optimization of culture conditions and feeding strategies.
- Quality control in bioprocessing and pharmaceutical manufacturing.
- Dynamic metabolic profiling for research and development.
Future Trends and Potential Uses
Advancements may include integration with real-time monitoring platforms, miniaturized microfluidic systems for on-line analysis, and coupling with machine learning tools for predictive culture control. Expansion to other metabolites and cell types will broaden applicability in systems biology and bioprocess optimization.
Conclusion
The UF-Amino Station demonstrates efficient analysis of 38 amino acids in cell culture supernatants within 9 minutes, delivering reliable quantitation and recovery. Combined with PCA, this approach provides comprehensive insights into cellular metabolism and facilitates informed optimization of culture conditions.
Reference
Omasa Laboratory, Department of Material and Life Science, Graduate School of Engineering, Osaka University.
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