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GCMS webinars focusing on GC/MS - page 1
Software Workflows for Environmental Microplastics Analysis by Py-GC-MS
Learn how integrated Chromeleon CDS and F-Search software streamline Py-GC-MS workflows for microplastics, from polymer identification and quantitation to data review and reporting.
Analyzing Microplastics in Complex Biological Samples Using Py-GC-HRMS
Discover how Py-GC-HRMS improves microplastics analysis in complex biological samples through enhanced selectivity, sensitivity, and confident compound identification.
Advanced software tips for GC and GC-MS analysis
Join our webinar on advanced Chromeleon CDS tips for GC and GC-MS. Learn how to automate data processing and boost laboratory productivity.
Confident Microplastics Analysis in Food with Py-GC Orbitrap MS
Discover how Py-GC Orbitrap MS enables confident identification and quantification of microplastics in complex food and environmental samples using targeted and non-targeted workflows.
Navigating PFAS Restrictions in Packaging and Packaging Waste (PPRW) with Py-GC-MS
Discover how Py-GC-MS can support PFAS-related screening of food-contact materials and packaging, helping laboratories respond to emerging PPWR compliance requirements.
From Inlet to Detector: Building Better Connections in GC and GC/MS Workflows
Upgrade your GC flow path. Learn how ensure leak-free and inert GC and GC/MS connections.
When Materials Look Identical: Distinguishing Nylon Copolymers from Polymer Blends Using Multi-Mode Py-GC-MS
Discover how multi-mode Py-GC-MS differentiates nylon copolymers from polymer blends and reveals structural differences for more confident materials characterization.
When Materials Look Identical: Distinguishing Nylon Copolymers from Polymer Blends Using Multi-Mode Py-GC-MS
Discover how multi-mode Py-GC-MS differentiates nylon copolymers from polymer blends and reveals structural differences for more confident materials characterization.
From Unknown Ingredients to Product Insights: Cosmetic Deformulation Using Py-GC-MS
Discover how Py-GC/MS supports cosmetic deformulation by identifying unknown ingredients and turning complex analytical data into actionable compositional insights.
Blue Thursdays 2026 – The Best Of
In this final session, we’ll look back at the most important things we’ve learned throughout the Blue Thursday series.
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