Determination of drug, excipients and coating distribution in pharmaceutical tablets using NIR-CI

Anna Palou, Jordi Cruz, Marcelo Blanco, Jaume Tomàs, Joaquín De Los Ríos, Manel Alcalà

Research output: Contribution to journalArticleResearchpeer-review

35 Citations (Scopus)

Abstract

The growing interest of the pharmaceutical industry in Near Infrared-Chemical Imaging (NIR-CI) is a result of its high usefulness for quality control analyses of drugs throughout their production process (particularly of its non-destructive nature and expeditious data acquisition). In this work, the concentration and distribution of the major and minor components of pharmaceutical tablets are determined and the spatial distribution from the internal and external sides has been obtained. In addition, the same NIR-CI allowed the coating thickness and its surface distribution to be quantified. Images were processed to extract the target data and calibration models constructed using the Partial Least Squares (PLS) algorithms. The concentrations of Active Pharmaceutical Ingredient (API) and excipients obtained for uncoated cores were essentially identical to the nominal values of the pharmaceutical formulation. But the predictive ability of the calibration models applied to the coated tablets decreased as the coating thickness increased. © 2012 Xi'an Jiaotong University. Production and hosting by Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)90-97
JournalJournal of Pharmaceutical Analysis
Volume2
Issue number2
DOIs
Publication statusPublished - 1 Jan 2012

Keywords

  • Component distribution
  • Hyperspectral imaging
  • Near infrared Chemical Imaging (NIR-CI)
  • Partial Least Squares (PLS) regression
  • Tablet coating distribution

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