The Delaunay tessellation and topological regression is a local simplex method for multivariate calibration. The method, developed within computational geometry has potential for applications in analytical chemistry and process monitoring. This study investigates the applicability of the method for estimating the aromatic composition in Light Cycle Oil (LCO) by Near Infrared (NIR) spectroscopy.
Delaunay tessellation and topological regression: An application to estimating product properties from spectroscopic measurements
BARATTI, ROBERTO;
2009-01-01
Abstract
The Delaunay tessellation and topological regression is a local simplex method for multivariate calibration. The method, developed within computational geometry has potential for applications in analytical chemistry and process monitoring. This study investigates the applicability of the method for estimating the aromatic composition in Light Cycle Oil (LCO) by Near Infrared (NIR) spectroscopy.
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