The objective of this study was to investigated the use of chemometric modeling of thermogravimetric (TG) data as an alternative approach to estimate the chemical and proximate (i.e. volatile matter, fixed carbon and ash contents) composition of lignocellulosic biomass. Since these properties affect the conversion pathway, processing costs, yield and / or quality of products, a capability to ra...

Chemometrics is the application of statistical and mathematical methods to analytical data to permit maximum collection and extraction of useful information. It is a data-driven interdisciplinary science suitable for solving diverse applications. This review focuses mainly on various chemometric models used and their applications in the pharmaceutical sciences.

Different examples of successive coupling of Near Infrared Spectroscopy and chemometric for solving problems of authentication and quality control of food and drug samples will be presented. In particular, topics as the traceability of PDO products, the determination of nutritional value of cereals and the quantification of enantiopurity of pharmaceutical API will be discussed.

To standardize the tea export market and guarantee interest of consumers, adulteration problem in Taiping Houkui should be eliminated. In this study, a screening scheme comprising chemometrics statistical analysis was proposed to estimate geographical origin tea. A total 11 metal ions were detected by performing chemometric experiment. The key variables that can used identify screened using lea...

Simultaneous determination of pharmaceutical compounds and accurate quantitative prediction of them are of great interest in the clinical and laboratory-based investigations.This work has focused on a comprehensive comparison of Partial Least-Squares (PLS-1) and Artificial Neural Networks (ANN) as two powerful types of chemometric methods. For this purpose, montelukast (MONT), fexofenadine ...