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From compound assignment to pattern recognition
For decades, Nuclear Magnetic Resonance (NMR) has been a key tool in food analysis, relying on compound identification through signal assignment.
At ManSciTech, we take a different approach.
Instead of analyzing each signal in isolation, we treat the entire spectrum as a unique fingerprint. By applying advanced machine learning models, we identify complex patterns that allow us to directly characterize, compare, and classify samples.
