Doolittle multivariate calibration applied to signal analysis of three-component overlapping spectra

摘要

A novel chemometrics method, named Doolittle multivariate calibration, was applied to signal analysis of the spectra of metal three ions without separation. Doolittle algorithm is a numerical analysis method with high accuracy and low cost. In this paper, the method was introduced to simultaneous determination of ternary mixtures of Fe³⁺, Co²⁺ and Ni²⁺. The factors affecting sensitivity were optimized. The relative error of Doolittle multivariate calibration is from −10.50% −7.67%, significantly better than K-matrix. It was demonstrated that the proposed method was applicable to the spectra analysis of multi-component; the new method has bright prospects in signal analysis and data process.