Implement multi-attribute methods with confidence – A solution designed for biopharma QC labs
Thursday, July 23 at 16:00 BST | 17:00 CEST | 11:00 EDT | 08:00 PDT
The multi-attribute method (MAM) is a powerful approach to monitoring critical quality attributes (CQAs) and detecting product variants in a single, streamlined biopharmaceutical workflow. However, widespread adoption in QC has been limited by method complexity, high costs, and operational burden.
Join Prof. Jared Auclair of Northeastern University and Melissa Sato of Agilent Technologies in this SelectScience® webinar as they present a practical path forward – the Agilent MAM.
The Agilent MAM solution addresses these challenges by combining purpose-built Agilent MAM for OpenLab CDS software. Using robust, highly efficient Agilent LC/MS systems, it enables the confident transition of MAM from R&D into regulated QC environments. Designed according to USP <1060>, this comprehensive solution includes software, LC/MS instrumentation, consumables, and built-in system performance checks to simplify QC method implementation, reduce training requirements, and improve QC turnaround time.
Certificate of attendance
If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.
Webinar details
- Cost: Free to attend
- Location: Online
- Duration: 60 minutes
Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.
Speakers
Who should attend?
- Lab managers
- Quality control professionals
- Biopharmaceutical R&D professionals
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OpenLab CDS
Agilent TechnologiesStreamline your lab operations with a single, secure data system that combines productivity, usability, and data integrity for fast, reliable results.
What will this webinar cover?
- Pharmaceutical regulatory guidelines outlined by USP <1060>
- The key operational challenges of implementing MAM in QC and how a purpose-built solution mitigates complexity, training needs, and compliance risk
- How this solution includes built-in system performance checks and new peak detection to ensure reliable, routine MAM execution
- How to evaluate method transfer from R&D to QC to reduce rework, improve consistency, and accelerate batch release
- How a novel new peak detection algorithm minimizes false positives while still providing sufficient limits of quantitation