Twin-lens based LIBS system for trace heavy metal detection

Abstract

The invention relates to a twin-lens based LIBS system for trace heavy metal detection. The twin-lens based LIBS system for the trace heavy metal detection comprises a sample table, a laser device, a focusing lens assembly, an optical fiber, a multi-channel spectrograph and a data processor. The focusing lens assembly is used for focusing plasma radiation light produced after a sample to be detected is subjected to laser radiation and obtaining the focused plasma radiation light so as to enable the multi-channel spectrograph to obtain spectroscopic data of the sample to be detected through the optical fiber and enable the data processor to determine the heavy metal content of the sample to be detected according to the spectroscopic data. The radiation light collecting efficiency is improved, further the detection accuracy, stability and practicability of the system are improved and an LIBS technology is further developed and applied by arranging the focusing lens assembly with the numerical aperture greater than that of the optical fiber on a plasma radiation light collecting optical path.

Description

technical field [0001] The invention relates to the field of trace heavy metal detection, in particular to a double-lens-based LIBS system for trace heavy metal detection. Background technique [0002] In general industrial production and life, heavy metals often refer to more than 10 kinds of metals such as copper Cu, mercury Hg, tin Sn, lead Pb, zinc Zn, and cadmium Cd. With the rapid development of industrial production, these heavy metals are enriched in our living environment, enter the human body through food, breathing, direct contact and other ways, resulting in various toxic and side effects; or migrate and deposit in soil and water, causing The heavy metal content in the local environment greatly exceeds the purification ability of nature, endangers the growth of animals and plants, and causes great damage to the ecological environment, especially the pollution of cultivated land, which directly threatens agricultural production and food security. Therefore, it is...

AI Technical Summary

Problems solved by technology

However, since the concentration of target elements in vegetables is usually two orders of magnitude lower than that in soil, the detection is difficult. In the prior art, using LIBS to measure heavy metals such as copper Cu, lead Pb, cadmium Cd, and chromium Cr in vegetables is still in the qualitative stage. Early stages of analysis

In addition, in the existing solutions for the detection of heavy metals in soil and vegetables using LIBS technology, there are differences in the intensity of the spectra collected for each detection, especially when the content of the target element is low, the signal-to-noise ratio of the characteristic lines is extremely unsatisfactory , which affects the accuracy, stability and practicability of LIBS detection of trace heavy metals, and limits the further development and application of LIBS technology to a certain extent.

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