Yves-Michel Ginot

TL;DR: A critical overview of the different SERS pharmaceutical applications that were developed for a non‐exhaustive list of pharmaceutical compounds with the aim to highlights the validation criteria for each application.

TL;DR: ICA was used as a blind source separation method on a Raman image of a pharmaceutical tablet and it was shown that under-decomposition of the matrix could lead to better signal quality (compared to the pure spectra) but in that case the contributions due to minor components or effects were not correctly identified and extracted.

TL;DR: The aim of this work is to demonstrate that MALDI-MSI, coupled with four well known multivariate statistical analysis algorithms, is a powerful technique to extract spatial and spectral information about chemical compounds from known or unknown solid drug product formulations.

TL;DR: It is shown that the magnesium stearate information can be extracted from a PCA model using a minimum of 20 components, and a column-wise augmented matrix, including a reference spectrum of the lubricant, is used before starting MCR-ALS process.

TL;DR: A near infrared (NIR) method was developed for determination of tablet potency of active pharmaceutical ingredient (API) in a complex coated tablet matrix and an easy to use graphical interface was developed to easily determine if the predictions are within the specifications defined by the regulatory organisation.