
Dr. Rigoberto Advincula on Advancing Polymer Research With Py-GC/MS
Key Takeaways
- Learn how pyrolysis–GC/MS delivers molecular-level insight for precise polymer characterization.
- Understand how low sample-prep variability improves data quality and reproducibility.
Rigoberto Advincula, PhD, of The University of Tennessee, Knoxville, explains how pyrolysis combined with GC/MS and AI-driven analysis advance polymer characterization, optimize composites, and support innovation in 3D printing and product development.
Sponsored by Frontier Laboratories, Ltd.
Rigoberto Advincula, PhD, of the University of Tennessee, Knoxville, explains how Frontier Laboratories’ Pyrolysis system enables precise polymer characterization by combining pyrolysis with GC/MS analysis. He highlights how the system’s accessibility, low sample-prep variability, and compatibility with other analytical techniques support the optimization of composites, accelerate 3D printing development, and provide high-specificity data that can be leveraged with AI-driven algorithms for product innovation.
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