Partial least-squares regression for identification of liquid materials

Partial least-squares (PLS) regression was demonstrated as a promising suitable method to identify quantitatively liquid materials based on the profile of energy dispersive X-ray scattering spectrum in this paper. Methanol, ethanol, sulfuric acid and acetic acid of different concentrations were measured under conditions of the scatter angle of 7°and the count time of 5 min. The results showed that the regression of concentration was effective. This suggests that PLS can be employed in detecting liquid materials.