A Method for Identifying Elements of Plastic Samples Based on Laser-Induced Breakdown Spectroscopy

Abstract

The invention discloses a method for plastic sample element identification based on laser-induced breakdown spectroscopy. The method includes a step (1) of establishing an elemental characteristic line database based on an NIST database; a step (2) performing an experiment on a plastic sample through am LIBS device to obtain a plastic sample 2D data matrix; a step (3) of performing baseline correction on LIBS spectra based on a discrete wavelet transform method; a step (4) of performing spectral peak identification on the corrected spectra according to a continuous wavelet transform method; and a step (5) of comparing data in LIBS with data in the established characteristic line database to determine an element attribution of a spectral peak. According to the method, elements in the plastic sample can be automatically identified, the influence of garbage on the recognition process is reduced, and the goals of improving the element identification accuracy rate, reducing the classification time, and reducing the calculation cost are achieved.

Description

technical field [0001] The invention relates to the field of spectral analysis methods, in particular to a method for identifying elements of plastic samples based on laser-induced breakdown spectroscopy. Background technique [0002] Plastic is a kind of high molecular polymer, which is more and more widely used in daily life. In order to improve its performance, it is often necessary to add a certain amount of stabilizers, plasticizers and colorants during the production process. When the content of some heavy metal elements in the additive exceeds the standard, it will endanger human health. To judge whether there are safety problems in plastic products, the heavy metals in the plastics must be identified first. The commonly used devices for element identification of heavy metal elements in plastic samples include atomic absorption spectrometry (atomic absorption spectrometry, AAS) and inductively coupled plasma optical emission spectrometry (inductively coupled plasma ...

AI Technical Summary

Problems solved by technology

The manual identification method has the disadvantages of high cost, low efficiency and poor reliability

Automatic identification methods usually identify elements of plastic samples based on artificial intelligence algorithms, and meaningless continuous spectra will affect the accuracy of element identification

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