Implement multi-attribute methods with confidence – A solution designed for biopharma QC labs
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 with robust, highly efficient Agilent LC/MS systems, enabling 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 [email protected].
Webinar details
- Cost: Free to attend
- Location: Online
- Duration: 60 minutes
Who should attend?
- Lab managers
- Quality control professionals
- Biopharmaceutical R&D professionals
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
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.
Speaker: Prof. Jared Auclair (Dean, Northeastern University College of Professional Studies, Director, Bioinnovation)
Prof. Jared Auclair holds a PhD in Biomedical Science from the University of Massachusetts Medical. He now serves as the Dean of the College of Professional Studies, a professor at Northeastern University and, most recently, Vice Provost Research Economic Development and Director of Bioinnovation.
Speaker: Melissa Sato (BioPharma Software Workflow Manager, Agilent Technologies)
Melissa Sato brings extensive biopharma experience specializing in analytical sciences, including mass spectrometry and chromatography for mAbs, BiTEs, fusion proteins, and oligonucleotides. She also brings over 10 years of experience in multi-attribute method expanding across development to GMP from her previous roles at Amgen and Thermo Fisher Scientific. Now at Agilent, she leads the MAM for OpenLab CDS product and oversees BioConfirm and ExDViewer, driving innovation in biopharma mass spectrometry applications.
Moderator: Olivia Long
Olivia Long is a science editor specializing in pharmaceutical and applied science. She has a BSc in Pharmacology, and an MSc in Neuroscience, where she investigated neuro‑oncology drug‑resistance pathways using patient‑derived cell models. Her laboratory experience spans R&D hygiene testing, controlled‑environment sample production, and protocol development, giving her a broad understanding of analytical workflows and the scientific principles underpinning biopharmaceutical quality control.
