چکیده (انگلیسی):

This experiment tested the
hypothesis that using near-infrared (IR) imaging
spectrometry on tablets through blister packs permits
the identification and composition of multiple
individual tablets to be determined simultaneously.
Aspirin was selected for this study because its
breakdown mechanism is well understood. Near-IR
cameras were used to collect thousands of spectra
simultaneously from a field of packaged aspirin
tablets. Tablets were selected by a principal
component analysis selection algorithm. Graphs of the
columns of the transformation matrix showed that
salicylic acid and acetylsalicylic acid in the samples
were modeled by the principal components. The
bootstrap error-adjusted single-sample technique
chemometric-imaging algorithm was used to draw
probability-density contour plots that revealed tablet
composition. Choice of color was used to represent
constituent identity, whereas intensity represented
concentration. The percentage of usable pixels in the
indium antimonide (InSb) array was 99.9%. The SEP
was 0.06% of the tablet mass for both water uptake
and salicylic acid production. The number of tablets
that a typical near-IR camera can currently analyze
simultaneously was also estimated to be
approximately 1300.