[Study on the analysis of mixed spectra of benzene homologs with Dolittle multivariate correction method].

Dolittle algorithm is a numerical analysis method with high accuracy and low cost. In the present paper, the Dolittle algorithm is introduced into chemometrics. Dolittle multivariate correction method was put forward for the first time and was applied to solve the problem of overlapped spectra of multi-components. In addition, Dolittle multivariate correction method was used to resolve the problem of spectrum of mixed system of benzene homologs. The result shows that the Dolittle multivariate correction method is superior to the K-matrix method. The relative standard deviation of the Dolittle multivariate correction method is from -6. 35% to 8. 70%, while the relative standard deviation of K-matrix is from -14. 76% to 13. 40%. It was demonstrated that Doolittle algorithm is effective in analytical chemistry.