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Determination of drug,excipients and coating distribution in pharmaceutical tablets using NIR-CI 被引量:4

Determination of drug,excipients and coating distribution in pharmaceutical tablets using NIR-CI
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摘要 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. 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.
出处 《Journal of Pharmaceutical Analysis》 SCIE CAS 2012年第2期90-97,共8页 药物分析学报(英文版)
基金 Spain’s MICINN for funding this research within the framework of Project CTQ2009-08312
关键词 Near infrared Chemical Imaging (NIR-CI) Hyperspectral imaging Component distribution Tablet coating distribution Partial Least Squares (PLS) regression Near infrared Chemical Imaging (NIR-CI) Hyperspectral imaging Component distribution Tablet coating distribution Partial Least Squares (PLS) regression
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