Application of a mobile laser-induced breakdown spectroscopy system to detect heavy metal elements in soil

2017 ◽  
Vol 56 (18) ◽  
pp. 5204 ◽  
Author(s):  
Deshuo Meng ◽  
Nanjing Zhao ◽  
Mingjun Ma ◽  
Li Fang ◽  
Yanhong Gu ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Laser Induced Breakdown Spectroscopy ◽  
Metal Elements ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Spectroscopy System ◽  
Heavy Metal Elements

scholarly journals Rapid Detection Of Heavy Metals On Waste-Water Polluted Soils Using Laser Induced Breakdown Spectroscopy

2020 ◽  
Vol 2 (2) ◽  
pp. 94-96
Author(s):  
Heri Sugito ◽  
Ali Khumaeni ◽  
Qidir Maulana Binu Soesanto
Keyword(s):  
Heavy Metal ◽  
Soil Sample ◽  
Laser Induced Breakdown Spectroscopy ◽  
Reference Spectrum ◽  
Polluted Soils ◽  
Paper Mills ◽  
Metal Elements ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Heavy Metal Elements

The Laser Induced Breakdown Spectroscopy (LIBS) method was successfully used to detect heavy metal elements in the soil polluted by wastewater from paper mills. The study was conducted using a Nd: YAG pulse laser with a wavelength of 532 nm at 83 mJ energy and 5 torr air pressure. The laser is fired at a soil sample that has been made in the form of pellets to produce plasma. The plasma emission spectrum formed is then detected by multichannel analyzer (OMA) to obtain the emission line spectrum that represents the content of atoms and molecules in the soil sample. The spectrum detected by OMA is then compared to the standard reference spectrum at NIST (National Institute of Standards and Technology) to find out the contents of an element on a contaminated soil sample. several types of heavy metal elements Fe, Cr, Cu, Al, Cd and Mn in soils contaminated by wastewater were detected using LIBS method. Based on research results, the LIBS method is very well used for the detection of heavy metal content in polluted soils.

The parameter optimization of lasers’ energy ratio of the double-pulse laser induced breakdown spectrometry for heavy metal elements in the soil

2021 ◽  
Author(s):  
Guanyu Chen ◽  
Yunrui Yang ◽  
Ye Zhan ◽  
Xueying Jin ◽  
Guang Yang ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Detection Method ◽  
Remote Detection ◽  
Laser Induced Breakdown Spectroscopy ◽  
Soil P ◽  
Heavy Metal Detection ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Heavy Metal Elements ◽  
Double Pulse Laser

Laser-induced breakdown spectroscopy (LIBS) is a rapid, no-sample preparation, remote detection method that has been applied widely in the area of heavy metal detection in the soil. However, the promotion...

scholarly journals Quantitative Determination of Cd in Soil Using Laser-Induced Breakdown Spectroscopy in Air and Ar Conditions

Molecules ◽  
2018 ◽  
Vol 23 (10) ◽  
pp. 2492 ◽  
Author(s):  
Xiaodan Liu ◽  
Fei Liu ◽  
Weihao Huang ◽  
Jiyu Peng ◽  
Tingting Shen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Least Squares ◽  
Three Dimensional ◽  
Accurate Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Quantitative Detection ◽  
Support Vector ◽  
Least Squares Regression ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Rapid detection of Cd content in soil is beneficial to the prevention of soil heavy metal pollution. In this study, we aimed at exploring the rapid quantitative detection ability of laser- induced breakdown spectroscopy (LIBS) under the conditions of air and Ar for Cd in soil, and finding a fast and accurate method for quantitative detection of heavy metal elements in soil. Spectral intensity of Cd and system performance under air and Ar conditions were analyzed and compared. The univariate model and multivariate models of partial least-squares regression (PLSR) and least-squares support vector machine (LS-SVM) of Cd under the air and Ar conditions were built, and the LS-SVM model under the Ar condition obtained the best performance. In addition, the principle of influence of Ar on LIBS detection was investigated by analyzing the three-dimensional profile of the ablation crater. The overall results indicated that LIBS combined with LS-SVM under the Ar condition could be a useful tool for the accurate quantitative detection of Cd in soil and could provide reference for environmental monitoring.

Four-metal-element quantitative analysis and pollution source discrimination in atmospheric sedimentation by laser-induced breakdown spectroscopy (LIBS) coupled with machine learning

2020 ◽  
Vol 35 (2) ◽  
pp. 403-413 ◽  
Author(s):  
Xin Zhang ◽  
Nan Li ◽  
Chunhua Yan ◽  
Jiahui Zeng ◽  
Tianlong Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Quantitative Analysis ◽  
Pollution Source ◽  
Laser Induced Breakdown Spectroscopy ◽  
Source Discrimination ◽  
Metal Elements ◽  
Breakdown Spectroscopy ◽  
Metal Element ◽  
Laser Induced Breakdown

The laser-induced breakdown spectroscopy (LIBS) technique coupled with machine learning was proposed to perform four metal elements quantitative analysis and pollution source discrimination in atmospheric sedimentation.

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