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Evosep Biosystems
Evosep Biosystems
Evosep develops new solutions to make clinical proteomics 100 times more robust and 10 times faster. We are basing our design on years of experience with nano-UHPLC R&D and application support, critically rethinking the necessary system architectures for successful sample separation before mass spectrometric analysis.
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LC/MS
LC/MS/MS
LC/QQQ
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Targeted Workflows

RECORD | Already taken place Th, 20.11.2025
Discover how the Evosep Eno–Waters Xevo TQ Absolute LC-MS platform delivers high-throughput, sensitive, and reproducible quantification of plasma protein biomarkers for clinical research.
Go to the webinar
Evosep Biosystems: Targeted Workflows
Evosep Biosystems: Targeted Workflows

Push the boundaries of targeted proteomic LC-MS workflows designed for unmatched sensitivity, reproducibility, and throughput. See how streamlined methods enable confident protein quantification and accelerate validation across large cohorts with ease.

Advancing Protein Biomarker Quantification: Performance Evaluation of the Evosep Eno – Waters Xevo TQ Absolute LC-MS Platform
  • Margrét Þorsteinsdóttir and Finnur Freyr Eiriksson, University of Iceland
  • Iulia Macavei, Scientist, Proteomics research at evosep

This webinar presentation highlights a robust, high-throughput LC–MS platform integrating the Evosep Eno with the Waters Xevo TQ Absolute for precise and reproducible quantification of plasma protein biomarkers. The workflow delivers exceptional sensitivity, reproducibility, and throughput, enabling reliable quantitative results for early myocardial infarction risk prediction. Optimization of bottom-up proteomics sample preparation using a Design of Experiments strategy and implementation of an automated process further improved robustness and scalability. Together, these advancements show that the Evosep Eno – Waters Xevo TQ Absolute platform provides a powerful, efficient solution to accelerate the translation of biomarker discovery into clinical research.

Evosep Biosystems
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LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike