This application note describes a very sensitive classification method, partial least squares–discriminant analysis (PLS-DA), incorporated in Agilent innovative MicroLab software, to classify and qualify materials of interest with greater sensitivity and specificity than possible with simple library search methods.
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.