Open AccessBackground removal in soil analysis using laser- induced breakdown spectroscopy combined with standard addition method
Author(s) -
Rongxing Yi,
Lianbo Guo,
Xiaoheng Zou,
J. M. Li,
Hao Zeng,
Xinghai Yang,
X. Y. Li,
Xiaoyan Zeng,
Yongfeng Lu
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.002607
Subject(s) - laser induced breakdown spectroscopy , calibration , analytical chemistry (journal) , mean squared error , spectroscopy , materials science , wavelet transform , root mean square , certified reference materials , soil test , matrix (chemical analysis) , accuracy and precision , wavelet , laser , optics , mathematics , chemistry , soil water , environmental science , soil science , computer science , statistics , chromatography , detection limit , artificial intelligence , composite material , physics , quantum mechanics
The matrix effect of powder samples, especially for soil samples, is significant in laser-induced breakdown spectroscopy (LIBS), which affects the prediction accuracy of the element concentration. In order to reduce this effect of the soil samples in LIBS, the standard addition method (SAM) based on background removal by wavelet transform algorithm was investigated in this work. Five different kinds of certified reference soil samples (lead (Pb) concentrations were 110, 283, 552, 675, and 1141 ppm, respectively) were used to examine the accuracy of this method. The root mean square error of prediction (RMSEP) was more than 303 ppm by using the conventional calibration method. After adoption of SAM with background removal by wavelet transform algorithm, the RMSEP was reduced to 25.7 ppm. Therefore, the accuracy of the Pb element was improved significantly. The mechanism of background removal by wavelet transform algorithm based on SAM is discussed. Further study demonstrated that this method can also improve the predicted accuracy of the Cd element.