Reliable biopharma QC starts with MAM system readiness

Reliable Multi-Attribute Method (MAM) analysis starts with confidence in LC/MS system performance. In GMP-regulated environments, even small changes in system behavior can impact the accurate monitoring of critical quality attributes, making system readiness a critical component of successful MAM workflows.

In this SelectScience® TechTalk, Dr. Mahsan Miladi, an expert in LC/MS workflows for biopharmaceutical characterization and MAM applications, will demonstrate how an automated system readiness workflow can help scientists assess performance, troubleshoot issues faster, and gain confidence in critical analytical results. Using MAM for OpenLab CDS, attendees will see how automated feature extraction, grouping, and predefined acceptance criteria can deliver an objective pass/fail assessment of system readiness from a single injection.

Powered by a purpose-designed 13-peptide standard, the workflow is designed to probe common LC/MS system stressors, from oxidation and metal-adduct formation to mass accuracy and chromatographic resolution challenges. Discover how this automated evaluation of predefined diagnostic targets enables objective assessment of system readiness and helps identify potential sources of performance variation in MAM analyses within GMP-regulated environments.

Certificate of attendance

• If you attend the live TechTalk, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. 
• If you view the on-demand TechTalk, you can request a certificate of attendance by emailing [email protected].

Webinar details

• Cost: Free to attend
• Location: Online
• Duration: 20 minutes

Who should attend?

• Lab Managers
• Scientists in Biopharma QC

What will this webinar cover?

• How to assess LC/MS readiness for GMP MAM workflows.
• How to identify system issues using automated peptide-based diagnostics.
• How to apply objective pass/fail criteria to support faster readiness decisions and troubleshooting.

Join the TechTalk to get answers to these questions:

• How can I reliably assess LC/MS system readiness for MAM in GMP environments?
• What automated workflows help detect performance issues from a single injection?
• How do automated feature extraction and predefined criteria provide objective pass/fail results?
• How does the 13-peptide standard assess common LC/MS system stressors such as oxidation, mass accuracy, dynamic range, and chromatographic performance?
• How can this approach reduce downtime and increase confidence in critical MAM analyses?

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: Dr. Mahsan Miladi (Application Development Engineer/Scientist, Agilent Technologies)

Dr. Mahsan Miladi is an Application Development Engineer/Scientist at Agilent Technologies focused on LC/MS workflows for biopharmaceutical characterization and MAM applications. Dr. Miladi develops practical workflows for peptide mapping, Multi-Attribute Method (MAM), and system performance monitoring. She is particularly interested in developing automated tools that help scientists quickly assess system performance, troubleshoot issues, and gain confidence in critical analytical results.