SpectraFuse AI Engine
Autonomous structure elucidation and process monitoring. Jointly interpret 1H/13C NMR, FT-IR, MS, and UV-Vis data.
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Quick Analysis Modes
Core Features
Multi-Spectral Fusion
Jointly interprets data from 1H NMR, 13C NMR, FT-IR, MS, and UV-Vis. The "Technique Agreement Scoring" flags conflicts (e.g., IR carbonyl vs NMR shift) to ensure consistent structural proposals.
Autonomous Elucidation
Proposes ranked IUPAC structures and fragments. Uses "Explainable AI" to map specific spectral signals (e.g., "Singlet at 2.1 ppm") directly to structural inferences.
Advanced Signal Processing
Built-in heuristic parser for automated peak picking. Handles domain specifics: chemical shifts (ppm) for NMR, wavenumbers for FT-IR, and m/z ratios for Mass Spec.
PAT & Reaction Monitoring
Real-time kinetic tracing of Reactants → Products. Automatically determines if a process is "stable," "complete," or "deviating" based on signal evolution.
Quality Control (QC)
Calculates batch-to-batch similarity scores. specifically detects "unexplained" signals or shifts indicating molecular degradation or synthetic byproducts.
Context-Aware Visuals
High-fidelity charts that auto-adjust axes for chemical conventions (wavenumber inversion, etc.). Includes integrated trend analysis for visualizing chemical transitions.
How it Works
- Upload Spectral Data: Import raw CSV/TXT files from your instruments (NMR, IR, MS).
- Auto-Processing: The engine performs automated peak picking and signal identification.
- Fusion & Elucidation: SpectraFuse checks for agreement across techniques and generates ranked molecular candidates.
- Interactive Report: View the "Evidence Map" linking spectral features to structural motifs and export your analysis.
Frequently Asked Questions
What data formats does SpectraFuse support?
SpectraFuse currently accepts raw CSV and TXT exports from major instrument vendors. The built-in heuristic parser detects local maxima and significant peaks automatically.
How does "Technique Agreement Scoring" work?
The system cross-references signals. For example, if MS suggests a mass of 120 but NMR implies a much larger structure, the confidence score drops. It flags specific conflicts for manual review.
Can I use this for real-time reaction monitoring?
Yes. The PAT module allows you to input sequential spectral data to trace kinetics. It visualizes the appearance and disappearance of signals to track conversion rates.
Is the structure elucidation fully autonomous?
The system generates "Candidate Proposals" ranked by probability. While it automates the heavy lifting of fragment identification, the final validation is presented to the chemist with an "Evidence Map."