Multi-Attribute Method for OpenLab CDS
The Agilent Multi-Attribute Method (MAM) for OpenLab CDS is designed to give you just what you need to move MAM workflows from R&D to QC.
Multi-Attribute Method for OpenLab CDS
MAM solution includes software, instruments, columns, and standard
Ease of use: System performance check
System performance check - targets view
LC/MS hardware designed for performance
MAM that moves you forward
Receive your quote directly from the manufacturer.
High-resolution mass spectrometry (HRMS) and MAM have transformed biopharma drug discovery, yet QC adoption has lagged due to perceived complexity, high cost, and the need for specialized expertise. However, MAM implementation is crucial to ensure product safety, quality, and regulatory confidence.
A QC-ready, USP <1060>-aligned MAM solution now makes that possible. With modern, intuitive software and streamlined LC/MS detection on the Agilent Infinity III bio LC system with Agilent 6230C LC/TOF, QC teams can implement a MAM solution for peptide mapping without the need for expert-level MS knowledge.
Built-in capabilities, such as a ready-to-use system performance check for enhanced stability and Agilent VacShield for less downtime, ensure that methods run reliably day after day. This is MAM designed for QC: simple to deploy, easy to use, and fully aligned with regulatory expectations, so your lab can move smoothly from R&D innovation to routine QC use with confidence.
Features
- Transfer methods smoothly from R&D to QC or external labs with less complexity and lower cost using the complete, robust, and reliable Agilent MAM solution
- Save time and minimize errors with a guided step-by-step user interface
- Ensure consistent execution of methods across labs with the system performance check
- Minimize false positives and enhance fold-change detection with the novel new peak detection algorithm
- Eliminate manual data reports and get faster insights with built-in data trending and analytics
- Reduce bottlenecks by supporting multiple users with remote data analysis
- Use the Agilent Infinity III bio LC and 6230C LC/TOF as a practical alternative to highest-resolution MS/MS systems, delivering proven robustness and reducing complexity—without compromising performance
- Partner with us and rely on strong support from Agilent with in-depth mass spectrometry expertise
- Multi-Attribute Method for OpenLab CDS is an add-on software—Agilent OpenLab CDS is required
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 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 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.
