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Agilent Unveils Innovative Multi-Attribute Method (MAM) Workflow for BioPharma Quality Control

Agilent Launches Multi-Attribute Method (MAM) Solution for BioPharma Quality Control

Agilent Technologies Inc. announced a new Multi-Attribute Method (MAM) workflow for biopharmaceutical laboratories. This tool assists quality control environments. It implements liquid chromatography high-resolution mass spectrometry in routine testing.

The setup combines software, instrumentation, columns, consumables, and standards. It addresses practical barriers that limited mass spectrometry. Laboratories apply this system during late-stage development and commercial manufacturing.

“Quality control laboratories are under increasing pressure to manage more complex biologic products while maintaining consistency, reliability, and compliance. This workflow reflects Agilent’s focus on helping customers adopt advanced analytical approaches in a way that fits the realities of regulated QC environments,” said Simon May, senior vice president of Agilent’s Life Sciences and Diagnostics Group.

Streamlined Quality Control Testing for Biologics

Complex biologics increase industry interest in the Multi-Attribute Method (MAM). Furthermore, the United States Pharmacopeia chapter <1060> highlights considerations for implementation. This reinforcing guidance supports routine manufacturing control.

“As biologic modalities become more complex, laboratories need analytical solutions that help them manage that complexity without disrupting established QC processes. By integrating MAM into existing QC workflows, Agilent is helping customers apply advanced analytical approaches where they are needed most, supporting confident, routine use in regulated environments,” said Angelica Riemann, senior vice president of the Agilent CrossLab Group.

The solution integrates into existing laboratories using OpenLab CDS. Consequently, the program supports method transfer from research into manufacturing. It streamlines data acquisition, analysis, and reporting. This Multi-Attribute Method (MAM) workflow reduces training requirements. Finally, the system supports efficient batch release globally. 

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News Source: Businesswire.com