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Metformin API Classification via NIR and NMR by Ignasia Arlyn is a document available to read on EtoBox.

What is Metformin API Classification via NIR and NMR about?

This research investigates the characterization of metformin hydrochloride samples from various manufacturers using NIR, NMR, and LC-MS techniques combined with chemometric analysis. The study aims to identify differences in the chemical properties of active pharmaceutical ingredients to enhance traceability and authenticity, addressing risks of falsification. Results indicate that different analytical methods provide unique clustering patterns, with NIR and 1H-NMR being particularly effective for distingui

Author

Ignasia Arlyn

Language

EN