Move Faster With Defensible,
In-Silico Results
In extractables and leachables (E&L) testing, response factor variability creates uncertainty, especially when no reference standard exists or the chemistry is unfamiliar. Lumo™ uses neural network modeling to predict response factors in silico, so you can accelerate quantitation without chasing calibrations.
What Lumo™ Does:
Lumo™ predicts LC-MS and GC-MS response factors from molecular descriptors using chemistry class-specific sub-models. Built-in checks flag low-confidence predictions for expert review, so you know when to trust the output and when to verify.
Why It Matters:
- Speed: Predicted response factors shorten turnaround and free lab capacity
- Focus: Low-confidence cases are flagged automatically for targeted follow-up
- Confidence: Predictions meet acceptance criteria for semi-quantitative work
- Efficiency: Fewer reference standards needed and less instrument time consumed
Where Lumo™ Fits in Your Workflow:
Use Lumo™ during non-targeted screening and semi-quantitative phases to manage unknowns, plan follow-up testing, and support toxicology assessments. Reserve full calibrations for the compounds that truly need them — an approach aligned with risk-based strategies in ISO 10993-18.1
Reference
1 International Organization for Standardization. (2020). ISO 10993-18:2020 Biological evaluation of medical devices — Part 18: Chemical characterization of medical device materials within a risk management process. https://www.iso.org/standard/64750.html
