Simultaneous Determination of Multicomponents in Air Toxic Organic Compounds with Partial Least-Squares Method Using FTIR Spectroscopy

Abstract

The multicomponent analysis with Partial Least-Squares Method (PLS) using FTIR spectroscopy has been studied in this paper. In order to ensure the reliability of the prediction results, a criterion SO and SA is created in the PLS algorithm to conclude the similarity between the prediction samples and the calibration ones. An example for the simultaneous determination of Ethylbenzene, Styrene, o-Xylene, m-Xylene and p-Xylene is supplied. The experimental designs of the both the calibration and prediction samples are discussed as well as the significant factor number. With proper multivariate calibration conditions, the average mean relative error (MRE %) is 0.25 % and the average relative standard deviations (RSD%) for Ethylbenzene, Styrene, o-Xylene, m-Xylene and p-Xylene are 0.19, 0.15, 0.06, 0.44 and 0.13 %, respectively.

*The project was supported by National Natural Science Foundation of China and Ph.D Foundation of National Education Committee.

Key Words:

• Multicomponents Analysis
• Organic Compounds Analysis
• FTIR
• Partial Least-Squares Method

Notes

*The project was supported by National Natural Science Foundation of China and Ph.D Foundation of National Education Committee.