Magnesium, calcium, or zinc stearates are commonly used in pharmaceutical drug manufacturing. While these metal stearates exhibit similar chemical properties, they are not necessarily interchangeable in manufacturing processes. It is critical therefore that they are identified and differentiated at receipt in the warehouse to avoid process disruptions. Accurately differentiating stearate analogs at receipt by Raman spectroscopy has historically been challenging. Given the similarities of the spectra of the compounds, sophisticated chemometric software is often needed to build stearate models that are then used to identify them. This study shows that the Agilent Vaya handheld Raman spectrometer with Spatially Offset Raman Spectroscopy (SORS) can identify metal stearates in their original primary packaging, without the need for complex chemometric software packages. The handheld Vaya Raman enables the selective verification of stearates using a two-criteria decision algorithm combined with the "Analogous Sample" software feature.
Opaque Container Analysis Capabilities of the Agilent Vaya Handheld Raman Spectrometer
August 7th 2024This study demonstrates the through-opaque-container analysis capability of the Agilent Vaya handheld Raman spectrometer by performing measurements on a range of common excipients and active ingredients within blue barrels. Spatially offset Raman spectroscopy (SORS) is the unique Agilent technology that is the basis of the unique Vaya container subtraction algorithm. This technology can optimize the spectra to provide the clearest signature of contents with the minimum amount of container interference. Verification of raw materials directly through plastic barrels provides efficient raw material identification (RMID) workflows in the warehouse without the need for specialized personnel or controlled sampling environments.