Instrument Considerations for Reliable Amino Acid Analysis Using AccQ•Tag Ultra C18 2.5 μm Column
Applications | 2022 | WatersInstrumentation
Amino acid analysis is crucial for protein characterization, bioprocess monitoring, and food/feed quality control. Pre-column derivatization with AccQ•Tag Ultra enhances UV detectability and reduces run times compared to legacy HPLC methods. Adapting this approach to standard HPLC systems increases accessibility for laboratories lacking UPLC capability.
This work aimed to transfer and optimize the AccQ•Tag Ultra C18 2.5 µm pre‐column derivatization method from UPLC to two HPLC platforms (Arc HPLC and ACQUITY Arc). Key performance characteristics—linearity, precision, reproducibility, limit of detection (LoD), and limit of quantitation (LoQ)—were systematically evaluated.
Amino acids were derivatized with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC) and separated on an AccQ•Tag Ultra C18 2.5 µm (4.6 × 150 mm) column. Two LC systems were used: the Arc HPLC and the ACQUITY Arc, each equipped with quaternary pumps, column heaters, and TUV detectors set at 260 nm. Norvaline served as internal standard in 0.1 N HCl. Critical parameters—flow rate (1.5 mL/min), column temperature (43 °C), sample temperature (20 °C), and injection volume—were optimized to control extra‐column dispersion and minimize peak distortion.
Optimal injection volumes were determined as 3 µL for the Arc HPLC and 2 µL for the ACQUITY Arc to achieve symmetrical histidine peaks. Both systems delivered baseline resolution (USP resolution > 2.0), retention time repeatability < 0.005 min, and area RSDs below 0.6% in repeatability tests. Intra- and inter-day precision remained below 0.6% RSD for retention time and area over three days. Calibration curves across 1–500 µM yielded R² > 0.995 with 1/x weighting. LoQ was 1 µM (S/N ≥ 10) and LoD 0.5 µM (S/N ≥ 3) on both platforms. Incorporation of an AccQ•Tag Ultra VanGuard cartridge did not compromise resolution or peak shape. Column‐to‐column and batch‐to‐batch reproducibility confirmed method robustness.
Integration with mass spectrometry could improve selectivity and lower detection limits. Flow cell miniaturization and greener solvent systems will further reduce dispersion and environmental impact. Enhanced software solutions are expected to streamline method transfer across diverse LC platforms.
The adapted AccQ•Tag Ultra C18 2.5 µm method delivers UPLC‐comparable performance on HPLC systems, offering a robust, sensitive, and high‐throughput solution for amino acid analysis under lower‐pressure conditions.
Consumables, HPLC, LC columns
IndustriesClinical Research
ManufacturerWaters
Summary
Importance of the Topic
Amino acid analysis is crucial for protein characterization, bioprocess monitoring, and food/feed quality control. Pre-column derivatization with AccQ•Tag Ultra enhances UV detectability and reduces run times compared to legacy HPLC methods. Adapting this approach to standard HPLC systems increases accessibility for laboratories lacking UPLC capability.
Objectives and Study Overview
This work aimed to transfer and optimize the AccQ•Tag Ultra C18 2.5 µm pre‐column derivatization method from UPLC to two HPLC platforms (Arc HPLC and ACQUITY Arc). Key performance characteristics—linearity, precision, reproducibility, limit of detection (LoD), and limit of quantitation (LoQ)—were systematically evaluated.
Methodology and Instrumentation
Amino acids were derivatized with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC) and separated on an AccQ•Tag Ultra C18 2.5 µm (4.6 × 150 mm) column. Two LC systems were used: the Arc HPLC and the ACQUITY Arc, each equipped with quaternary pumps, column heaters, and TUV detectors set at 260 nm. Norvaline served as internal standard in 0.1 N HCl. Critical parameters—flow rate (1.5 mL/min), column temperature (43 °C), sample temperature (20 °C), and injection volume—were optimized to control extra‐column dispersion and minimize peak distortion.
Main Results and Discussion
Optimal injection volumes were determined as 3 µL for the Arc HPLC and 2 µL for the ACQUITY Arc to achieve symmetrical histidine peaks. Both systems delivered baseline resolution (USP resolution > 2.0), retention time repeatability < 0.005 min, and area RSDs below 0.6% in repeatability tests. Intra- and inter-day precision remained below 0.6% RSD for retention time and area over three days. Calibration curves across 1–500 µM yielded R² > 0.995 with 1/x weighting. LoQ was 1 µM (S/N ≥ 10) and LoD 0.5 µM (S/N ≥ 3) on both platforms. Incorporation of an AccQ•Tag Ultra VanGuard cartridge did not compromise resolution or peak shape. Column‐to‐column and batch‐to‐batch reproducibility confirmed method robustness.
Benefits and Practical Applications
- Increased throughput through shorter analysis times and reduced solvent use.
- Compatibility with lower‐pressure HPLC systems lowers equipment costs.
- VanGuard cartridges extend column life and reduce maintenance expenses.
Future Trends and Potential Applications
Integration with mass spectrometry could improve selectivity and lower detection limits. Flow cell miniaturization and greener solvent systems will further reduce dispersion and environmental impact. Enhanced software solutions are expected to streamline method transfer across diverse LC platforms.
Conclusion
The adapted AccQ•Tag Ultra C18 2.5 µm method delivers UPLC‐comparable performance on HPLC systems, offering a robust, sensitive, and high‐throughput solution for amino acid analysis under lower‐pressure conditions.
Instrumentation
- Arc HPLC System with quaternary pump and 2489 TUV detector
- ACQUITY Arc System with low‐dispersion 10 mm flow cell
- AccQ•Tag Ultra C18 2.5 µm (4.6 × 150 mm) analytical column
- AQC derivatization kit (AccQ•Tag Ultra reagents)
- Empower 3 chromatography data system
References
- Waters Corporation. Amino Acid Standard Kits Care and Use Manual. 2020.
- Waters Corporation. Amino Acid Analysis Application Notebook. 2020.
- Hong P., McConville P.R. Dwell Volume and Extra-Column Volume: Impact on Method Transfer. Waters White Paper. 2018.
- Simeone J., Hong P. Instrument Considerations for Adaptation of Amino Acid Analysis Methods. Waters Application Note. 2021.
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