Volume 40, Issue 6 (November 1995)
The Differentiation of Illicit Methaqualone Tablet Formulations Using Principal Component and Soft Independent Modeling of Class Analogy Analysis of Their Near-Infrared Reflectance Spectra
The viability of using principal component analysis (PCA) and soft independent modeling of class analogy analysis (SIMCA) of the near-infrared reflectance spectra of illicit methaqualone tablet formulations as an aid in sample differentiation was investigated.
Near-infrared spectra of ten different illicit species occurring on the South African market was obtained through direct diffuse reflectance measurements made on the tablet surfaces using a bidirectional fiber-bundle probe.
The learning set was analyzed using PCA and SIMCA and resolved in well-separated clusters thus making differentiation possible.