Streamlining Quality Control in Small Molecule Research

Quality Control Simplified: Streamlining Quality Control in Small Molecule Research Quality control and quality assurance are cornerstones of good scientific practice. However, tools for ensuring instrument fitness, monitoring system performance, and evaluating data quality are lacking in the small molecule bioanalysis fields, creating an unmet need that labs are left to solve individually. In this webinar, we will discuss QSee™, a unique solution integrating tools for quality control in small molecule bioanalysis. QSee™ allows simple and automated instrument fitness assessment, and long-term instrument performance monitoring. Dr. Sven Meyer will introduce the QSee™ solution, and Dr. Christoph Trautwein as well as Dr. Jannik Spregel will discuss how their lab has been using the QSee™ suite in their ongoing metabolomics research. • QSee™ Performance Test: A convenient and user-friendly software solution that automates the standardized acquisition and analysis of a performance testing mixture. It enables users to monitor system fitness and long-term performance, while also helping to reduce the complexity of troubleshooting and instrument servicing. • QSee™ 8-Mix: A stable mixture of eight water-soluble small molecule compounds, designed for use with the QSee Performance Test software to enable standardized data acquisition and analysis. • TwinScape™: A cloud-based digital twin solution for storing and comparing instrument health and quality control data. It facilitates long-term monitoring of instrument performance and paves the way for predictive maintenance, supporting more efficient and quality-assured operations. Reliable quality control is essential for small molecule bioanalysis, yet many laboratories still rely on fragmented or manual approaches to assess instrument fitness, monitor system performance and maintain consistent data quality. This creates inefficiencies and makes troubleshooting and long-term performance tracking difficult. In this webinar, experts will explore practical strategies for improving quality assurance in metabolomics and related workflows. Attendees will hear how integrated, automated tools can support standardized performance testing, continuous instrument monitoring and more efficient data quality assessment, helping laboratories streamline operations and maintain confidence in their analytical results.