The pH effect on the detection of heavy metals in wastewater by laser-induced breakdown spectroscopy coupled with a phase transformation method

2020 ◽  
Vol 35 (1) ◽  
pp. 198-203 ◽  
Author(s):  
Shixiang Ma ◽  
Yun Tang ◽  
Yuyang Ma ◽  
Daming Dong ◽  
Lianbo Guo ◽  
...  

Heavy metal particles in water are mainly derived from acidic industrial wastewater. The pH effect on the detection of toxic metals in wastewater by LIBS-PT method was investigated.

2020 ◽  
Vol 35 (7) ◽  
pp. 1499-1499
Author(s):  
Shixiang Ma ◽  
Yun Tang ◽  
Yuyang Ma ◽  
Daming Dong ◽  
Lianbo Guo ◽  
...  

Correction for ‘The pH effect on the detection of heavy metals in wastewater by laser-induced breakdown spectroscopy coupled with a phase transformation method’ by Shixiang Ma et al., J. Anal. At. Spectrom., 2020, 35, 198–203, DOI: 10.1039/C9JA00349E.


Molecules ◽  
2018 ◽  
Vol 23 (10) ◽  
pp. 2492 ◽  
Author(s):  
Xiaodan Liu ◽  
Fei Liu ◽  
Weihao Huang ◽  
Jiyu Peng ◽  
Tingting Shen ◽  
...  

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.


2012 ◽  
Vol 39 (2) ◽  
pp. 0215001 ◽  
Author(s):  
闫静 Yan Jing ◽  
丁蕾 Ding Lei ◽  
葛琳琳 Ge Linlin ◽  
王颖萍 Wang Yingping ◽  
郑海洋 Zheng Haiyang ◽  
...  

2019 ◽  
Vol 48 (10) ◽  
pp. 1005006
Author(s):  
李业秋 Li Yeqiu ◽  
孙成林 Sun Chenglin ◽  
李 倩 Li Qian ◽  
岱 钦 Dai Qin ◽  
乌日娜 Wu Rina ◽  
...  

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