Application of Principal Components Analysis to TLC Data for 596 Basic and Neutral Drugs in Four Eluent Systems
Giuseppe Musumarra, Giuseppe Scarlata, Guido Romano, Sérgio Clementi, Svante Wold · Journal of Chromatographic Science · 1984
Principal component analysis (PCA) of the Rf values for 596 basic and neutral drugs in four eluent mixtures provided a significant two-component model which explained 77% of the total variance. Each drug was characterized on a plane by two principal component scores. The loading plot shows that three eluent mixtures are clustered into the same group providing similar information. For identification of unknowns, the method provided a drastic reduction of the range of possibilities to a few candidates.