ICP-AES multi-peak spectral line separation method based on particle swarm algorithm

Abstract

According to the ICPAES multi-peak spectral line separation method based on the particle swarm optimization, a mathematical model of a single spectral line is established. And constructing a multivariate evaluation function adaptive particle swarm algorithm to solve an optimal feature vector which can be used as a minimum value to analyze a target spectral line expression and an interference spectral line expression in a multi-peak spectral line, thereby carrying out interference correction. The method has the advantages that the optimal solution of the evaluation function is solved through the particle swarm algorithm to achieve ICPAES multi-peak spectral line separation, the overlapping interference curve and the target curve obtained through solving are accurate in characteristic parameter, the calculation result is easy to operate, errors can be reduced, and interference of overlapping spectral lines is avoided. Compared with a standard particle swarm algorithm, the adaptive particle swarm algorithm provided by the invention effectively ensures that the early iteration global exploration optimal solution and the later iteration local convergence to the global optimal solution,the convergence speed is high, the approximation ability is strong, and the performance is better.

Description

technical field [0001] The invention relates to the technical field of spectroscopy and information processing, relates to an ICP-AES multi-peak spectral line separation method based on a particle swarm algorithm, and further relates to the research on the ICP-AES multi-peak spectral line separation method based on an adaptive particle swarm algorithm. Background technique [0002] Inductively coupled plasma atomic emission spectro-metry (ICP-AES method for short), the element sample solution with a certain concentration is atomized by the ICP-AES instrument, enters the plasma state in the torch, and the sample solution The components are atomized, ionized, excited, and emit energy in the form of light. By measuring the characteristics and light intensity values ​​of the sample solution spectrum, the elements can be qualitatively and quantitatively analyzed. This measurement method has high sensitivity and detection It has the advantages of low limit and simultaneous determi...

AI Technical Summary

Problems solved by technology

[0007] The invention provides an ICP-AES multi-peak spectral line separation method based on the particle swarm algorithm, which is used to solve the problem that in the prior art, the ICP-AES detection system has overlapping interference of spectral lines during the working process and cannot accurately measure the target spectrum. The light intensity value corresponding to the characteristic wavelength of the line leads to the problem that the element content cannot be accurately calculated

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