AI Article Synopsis

  • Raman chemical mapping was utilized to analyze the distribution of magnesium stearate on tablet surfaces, employing a punch-face lubrication system with varying spraying rates for placebo and active tablets.
  • Principal component analysis helped break down the complex data from the Raman mapping, revealing insights into magnesium stearate presence through overlapping spectral loadings.
  • In placebo tablets, magnesium stearate was detectable, while in active formulations, its identification was hindered by the dominant spectral signals from the active pharmaceutical ingredient.

Article Abstract

Raman chemical mapping was used to determine the distribution of magnesium stearate, a lubricant, on the surface of tablets. The lubrication was carried out via a punch-face lubrication system with different spraying rates applied on placebo and active-containing tablets. Principal component analysis was used for decomposing the matrix of Raman mapping spectra. Some of the loadings associated with minuscule variation in the data significantly overlap with the Raman spectrum of magnesium stearate in placebo tablets and allow for imaging the domains of magnesium stearate via corresponding scores. Despite the negligible variation accounted for by respective principal components, the score images seem reliable as demonstrated through thresholding the one-dimensional representation and the spectra of the hot pixels that show a weak but perceivable magnesium stearate band at 1295 cm(-1). The same approach was applied on the active formulation, but no magnesium stearate was identified, presumably due to overwhelming concentration and spectral contribution of the active pharmaceutical ingredient.

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Source
http://dx.doi.org/10.1366/13-07012DOI Listing

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