
All Biopharma Mass Spectrometry. One Solution.
Streamline MS-based biopharma analyses—such as multi-attribute method characterization and quality monitoring—using a single, scalable platform.
Choose Your ApplicationBiotherapeutic characterization, quality monitoring, and related proteomics
or metabolomics applications: Genedata Expressionist® offers
out-of-the-box performance that can be tailored to your specific needs.

Biotherapeutic Characterization
Tailored solutions based on your workflows transform raw data into actionable insights. Best-in-class molecular characterization for any MS-based approach—such as peptide mapping, released glycans, and intact mass analysis—enables a better understanding of biotherapeutics.
Fully Leverage Your Data. Gain Deeper Insights.
Make Better Decisions.

Product Quality Monitoring
A scalable enterprise solution enabling automated, knowledge-driven quality attribute monitoring that leverages insights gained throughout a molecule’s lifecycle. Built-in functionalities for data security, integrity, and traceability facilitate deployment in regulated environments.
Automate Routine Analysis. Safeguard Product Quality.
Be GxP-Ready.

Multi-Attribute Method Approaches
Combining both in-depth characterization and automated Critical Quality Attribute (CQA) monitoring in a single platform, Genedata Expressionist provides an end-to-end solution for multi-attribute method (MAM) implementations of a Quality-by-Design framework in biotherapeutic development and production.
Identify & Monitor CQAs. Build Your Knowledge Base.
Embrace Quality-by-Design.

MS-Based Contaminant Detection
Workflow-based solutions enable flexible identification and quantification of product- and process-related contaminants—such as host cell proteins (HCPs) and polysorbate degradation products—delivering high-sensitivity while dramatically reducing the number of false-positive identifications.
Detect Any Contaminant. Increase Sensitivity.
Reduce False Positives.

MS-Based Bioprocess Monitoring
Proven metabolomics capabilities facilitate identification and quantification of metabolites in bioreactors. Complete automation of MS data analysis provides close-to-real-time monitoring for biotherapeutic production.