Multispectral imaging of tablets in blister packaging

Abstract

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.

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

“…Fast and nondestructive identification of active ingredients and excipients in whole tablets can be achieved, even through packaging [38] and [39]. A paper published in 2001 [40] reported the use of multispectral imaging for simultaneous identification and composition of multiple individual tablets in blister packaging. A FPA interfaced with a tuneable interference filter was used to obtain images of 1286 tablets in blister packs at wavelengths in the range 1678-2312 nm.…”

Multivariate Method Based on Raman Spectroscopy for Quantification of Dipyrone in Oral Solutions

“…The PCR model could address most of these factors, because each sample can be irradiated rapidly and examined directly with the use of an optical probe, without prior preparation, to obtain a single spectrum, which minimizes human error. Furthermore, the use of Raman spectroscopy as an analytical technique offers the possibility of measurements in real time at-line, avoiding the storage time required until the medicine's stock release, preventing possible rejections/disposal by furnishing actual concentration values, and even measuring the concentration through containers by standard Raman and offset spatially Raman spectroscopy [54][55][56].…”

Application of Monte Carlo Simulation-Based Photon Migration for Enhanced Understanding of Near-Infrared (NIR) Diffuse Reflectance. Part II: Photon Radial Diffusion in NIR Chemical Images

“…According to Eqs. (1)(2)(3) in Part I, 12 a larger anisotropy factor leads to a larger scattering coefficient and smaller step size. Thus, the anisotropy factor of 0.9 used in the study was believed to be too large.…”