Extending the Capabilities of the BioAccord LC-MS System with a streamlined workflow for compliant-ready Multi-Attribute Method (MAM)
Applications | 2020 | WatersInstrumentation
Multi-Attribute Method (MAM) workflows offer a high-information strategy for biotherapeutic characterization, combining targeted peptide monitoring with impurity profiling.
Reliable, compliant-ready methods are essential for clinical material characterization, stability testing, and QC release in both regulated and non-regulated laboratory environments.
This Application Note presents a streamlined MAM workflow that integrates the BioAccord LC-MS System with the waters_connect informatics platform.
Key goals include enhancing ease of use, automating data processing, achieving reproducible relative quantitation of critical quality attributes (pCQAs), and enabling sensitive new peak detection (NPD).
The BioAccord LC-MS System employs SmartMS technology and operates under the compliant-ready waters_connect platform.
A dedicated peptide MAM application automates sample submission, system suitability testing (SST), data acquisition, attribute tracking, relative %modification calculations, and NPD.
System suitability samples comprised tryptic digests of the NISTmAb reference standard (control and quantitatively spiked), and heat- and pH-stressed digests.
User-defined thresholds control both SST acceptance and pCQA monitoring, while an isotopic match filter in the NPD algorithm reduces false positives.
Reproducibility studies across two BioAccord systems, conducted weeks to months apart, yielded inter- and intra-system relative standard deviations below 6% for selected pCQA modifications, confirming robust performance.
The NPD workflow successfully identified novel impurities and allowed flexible threshold adjustments for laboratory- and molecule-specific requirements.
Peptide attribute lists can be imported directly from a waters_connect scientific library or via CSV from external informatics platforms, ensuring traceability and compliance.
Anticipated advancements include expansion of MAM to diverse biotherapeutic modalities, integration of machine learning for automated data analysis, and enhanced automation to support high-throughput applications.
Cloud-based informatics and cross-platform interoperability will further drive adoption in both R&D and quality control laboratories.
The combination of the BioAccord LC-MS System and the waters_connect peptide MAM workflow provides a robust, automated, and compliant-ready solution for pCQA monitoring and impurity detection, facilitating faster decision-making and broader implementation of MAM in biopharmaceutical analysis.
LC/TOF, LC/HRMS, LC/MS
IndustriesPharma & Biopharma, Clinical Research
ManufacturerWaters
Summary
Significance of the Topic
Multi-Attribute Method (MAM) workflows offer a high-information strategy for biotherapeutic characterization, combining targeted peptide monitoring with impurity profiling.
Reliable, compliant-ready methods are essential for clinical material characterization, stability testing, and QC release in both regulated and non-regulated laboratory environments.
Objectives and Study Overview
This Application Note presents a streamlined MAM workflow that integrates the BioAccord LC-MS System with the waters_connect informatics platform.
Key goals include enhancing ease of use, automating data processing, achieving reproducible relative quantitation of critical quality attributes (pCQAs), and enabling sensitive new peak detection (NPD).
Methodology and Instrumentation
The BioAccord LC-MS System employs SmartMS technology and operates under the compliant-ready waters_connect platform.
A dedicated peptide MAM application automates sample submission, system suitability testing (SST), data acquisition, attribute tracking, relative %modification calculations, and NPD.
System suitability samples comprised tryptic digests of the NISTmAb reference standard (control and quantitatively spiked), and heat- and pH-stressed digests.
User-defined thresholds control both SST acceptance and pCQA monitoring, while an isotopic match filter in the NPD algorithm reduces false positives.
Main Results and Discussion
Reproducibility studies across two BioAccord systems, conducted weeks to months apart, yielded inter- and intra-system relative standard deviations below 6% for selected pCQA modifications, confirming robust performance.
The NPD workflow successfully identified novel impurities and allowed flexible threshold adjustments for laboratory- and molecule-specific requirements.
Peptide attribute lists can be imported directly from a waters_connect scientific library or via CSV from external informatics platforms, ensuring traceability and compliance.
Benefits and Practical Applications of the Method
- Compliant-ready end-to-end workflow from instrument calibration and tuning to reporting.
- Automated instrument operation and data processing for improved user experience.
- Robust relative quantitation of pCQAs with built-in SST checks.
- Sensitive new peak detection with minimized false positives.
- Flexible import of peptide attribute lists to support regulated and non-regulated environments.
Future Trends and Opportunities
Anticipated advancements include expansion of MAM to diverse biotherapeutic modalities, integration of machine learning for automated data analysis, and enhanced automation to support high-throughput applications.
Cloud-based informatics and cross-platform interoperability will further drive adoption in both R&D and quality control laboratories.
Conclusion
The combination of the BioAccord LC-MS System and the waters_connect peptide MAM workflow provides a robust, automated, and compliant-ready solution for pCQA monitoring and impurity detection, facilitating faster decision-making and broader implementation of MAM in biopharmaceutical analysis.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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