Pascal Chalus

TL;DR: This review focuses on chemometric techniques and pharmaceutical NIRS applications, covering qualitative analyses, quantitative methods and on-line applications for near-infrared spectroscopy for pharmaceutical forms.

TL;DR: In this paper, peak height and unfold principal component analysis (PCA) were applied on two different pharmaceutical problems: the first one was the analysis of a contamination on the surface of a pharmaceutical solid dosage form and the second one was a set of intact tablets with different dissolution properties.

TL;DR: The application of NIRS to the detection and identification of changes in uncoated and coated tablets in response to pilot-scale changes in process parameters during melt granulation, compression, and coating is described.

TL;DR: Diffuse reflectance NIR has the potential to become a reliable and robust quality control method for determining active tablet content and was conducted with two low-dosage pharmaceutical forms.

TL;DR: Wavelet transformation of the NIR spectra of a commercial tablet is applied to build a model using conventional partial least squares (PLS) regression and an artificial neural network (ANN) to validate NIRS using requisite linearity and standard error of prediction (SEP) criteria.