Literature DB >> 27940535

Investigation of the Matrix Effect on the Accuracy of Quantitative Analysis of Trace Metals in Liquids Using Laser-Induced Breakdown Spectroscopy with Solid Substrates.

Junshan Xiu1, Lili Dong2, Hua Qin3, Yunyan Liu3, Jin Yu4.   

Abstract

The detection limit of trace metals in liquids has been improved greatly by laser-induced breakdown spectroscopy (LIBS) using solid substrate. A paper substrate and a metallic substrate were used as a solid substrate for the detection of trace metals in aqueous solutions and viscous liquids (lubricating oils) respectively. The matrix effect on quantitative analysis of trace metals in two types of liquids was investigated. For trace metals in aqueous solutions using paper substrate, the calibration curves established for pure solutions and mixed solutions samples presented large variation on both the slope and the intercept for the Cu, Cd, and Cr. The matrix effects among the different elements in mixed solutions were observed. However, good agreement was obtained between the measured and known values in real wastewater. For trace metals in lubricating oils, the matrix effect between the different oils is relatively small and reasonably negligible under the conditions of our experiment. A universal calibration curve can be established for trace metals in different types of oils. The two approaches are verified that it is possible to develop a feasible and sensitive method with accuracy results for rapid detection of trace metals in industrial wastewater and viscous liquids by laser-induced breakdown spectroscopy.
© The Author(s) 2016.

Entities:  

Keywords:  LIBS; Laser-induced breakdown spectroscopy; calibration curves; matrix effect; metals in liquids; solid substrate

Year:  2016        PMID: 27940535     DOI: 10.1177/0003702816651889

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  1 in total

1.  Laser Spectroscopic Sensors for the Development of Anthropomorphic Robot Sensitivity.

Authors:  Oleg Bukin; Dmitriy Proschenko; Alexey Chekhlenok; Sergey Golik; Ilya Bukin; Alexander Mayor; Victoriya Yurchik
Journal:  Sensors (Basel)       Date:  2018-05-23       Impact factor: 3.576

  1 in total

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