Fingerprinting of morphine using chromatographic purity profiling and multivariate data analysis.

Area of Science:

• Analytical Chemistry
• Chemometrics
• Pharmaceutical Analysis

Background:

• Chromatographic Purity Profiling (CPP) is crucial for identifying impurities in pharmaceuticals.
• Morphine and its derivatives have high global demand, relying on natural sources.
• Detecting the origin and authenticity of morphine is vital due to potential falsification.

Purpose of the Study:

• To develop a robust methodology for identifying the source of morphine samples.
• To establish a reliable method for detecting falsified morphine.
• To utilize impurity profiling for morphine authentication.

Main Methods:

• A novel Liquid Chromatography/Mass Spectrometry (LC/MS) method was employed for impurity profiling.
• Impurity profiles of 28 morphine samples (sulfate, hydrochloride, base) were analyzed.
• Unsupervised and supervised pattern recognition techniques were applied to morphine fingerprints.

Main Results:

• The LC/MS method captured characteristic and reproducible impurity profiles for morphine samples.
• The impurity profiles included related substances and co-extracted alkaloids.
• Multivariate data analysis successfully differentiated morphine fingerprints for classification.

Conclusions:

• Chromatographic purity profiling combined with multivariate data analysis is effective for morphine fingerprinting.
• This approach enables the authentication of morphine sources.
• The developed methodology can aid in identifying falsified morphine products.