Net analyte signal based two-dimensional (NAS 2D) correlation near infrared spectroscopy

A new method of analysis, based on the net analyte signal presented by Lorber is proposed for the two-dimensional correlation near infrared spectroscopy. A spectra data set under the static perturbation of concentration was collected. NAS is manipulated for removing the information that was unrelated to a certain analyte. To demonstrate the potential of NAS 2D correlation spectroscopy, a set of concentration-dependent near infrared spectra of Sinomenine Hydrochloride in methanol was used as an example. The results show that NAS 2D, reconstructed from a series of principal factors can extract more subtle and useful spectra features, and make the band assignment explicable for structure analysis.