In the fast-paced world of mass spectrometry, the ability to adapt is just as critical as the need for precision. While manual sample preparation often introduces unwanted technical variation, rigid automation can limit a lab's potential. We believe the path to reliable results lies in a flexible architecture. By focusing on modular design, the PAL System provides a stable foundation for diverse workflows—from untargeted metabolomics to trace-level environmental analysis.
This year in San Diego, we are presenting new data that highlights how adaptable hardware configurations ensure data integrity without compromising on throughput or ease of use.
Poster: Automated Two-Step Derivatization Workflow for Untargeted Metabolomics of Murine Wound Samples Using GC-ecTOF
High-performance metabolomics does not require a complex instrument setup. Here, we are demonstrating a refined two-step MeOx/MSTFA derivatization workflow for murine wound exudates using a standard PAL RSI configuration. By utilizing a single Agitator and a single liquid tool at a constant 37°C, we have simplified the hardware requirements while maintaining the high data quality necessary for profiling organic and amino acids. This streamlined approach proves that modular, standard hardware can master intricate biological protocols and provide a replicable blueprint for routine research.
Poster: Evaluation of Automated Derivatization and AI-Driven Data Interpretation for High-Throughput GC-MS Analysis
Efficiency in the modern lab now extends from the bench directly to the data suite. Our research also evaluates a comprehensive "lab-to-data" workflow that integrates "just-in-time" robotic sample preparation with AI-driven spectral interpretation. By ensuring identical incubation times for every sample, the PAL System minimizes the variability and artifact formation often seen with manual batch processing. When paired with automated feature extraction and annotation, this approach significantly accelerates the transition from raw samples to biological insights without sacrificing reliability.
Poster: Optimizing Preconcentration of Volatile PFAS Precursors: A Comparative Study of SPME Arrow and Fiber Geometries
Achieving parts-per-trillion sensitivity for environmental contaminants requires both optimized extraction and absolute timing. We compared SPME Arrow and Fiber geometries for volatile PFAS precursors and found that the Arrow provides a tenfold improvement in sensitivity for compounds like 4:2 FTOH. However, our data reveals that success depends on precise extraction timing to manage competitive adsorption, where higher-affinity analytes can displace volatile targets in multi-component mixtures. Automated handling ensures these chemical interactions are managed with total reproducibility, providing a clear analytical advantage for ultra-trace quantification.
