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Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data

Five copper or chromium stress levels were carried out on mulberry leaf, and 20 samples were collected for each metal stress level. A total of 100 samples (copper or chromium) were processed into uniform pressed pellet. The mulberry leaf pellet was placed on a sample platform of laser-induced breakd...

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Autores principales: Yang, Liang, Meng, Liuwei, Gao, Huaqi, Wang, Jingyu, Zhao, Can, Guo, Meimei, He, Yong, Huang, Lingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677108/
https://www.ncbi.nlm.nih.gov/pubmed/33251302
http://dx.doi.org/10.1016/j.dib.2020.106483
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author Yang, Liang
Meng, Liuwei
Gao, Huaqi
Wang, Jingyu
Zhao, Can
Guo, Meimei
He, Yong
Huang, Lingxia
author_facet Yang, Liang
Meng, Liuwei
Gao, Huaqi
Wang, Jingyu
Zhao, Can
Guo, Meimei
He, Yong
Huang, Lingxia
author_sort Yang, Liang
collection PubMed
description Five copper or chromium stress levels were carried out on mulberry leaf, and 20 samples were collected for each metal stress level. A total of 100 samples (copper or chromium) were processed into uniform pressed pellet. The mulberry leaf pellet was placed on a sample platform of laser-induced breakdown spectroscopy (LIBS) system. A laser was used to ablate the sample pellet and generate the emission lines, the intensity and delay time of laser ablation were 80 mJ and 4 μs respectively. To reduce the acquisition errors, 16 different positions of each sample were ablated for 5 accumulation. Then, 80 spectra were collected per sample and the average of them was considered as the sample spectrum for subsequent analysis. Finally, a total of 200 spectra of copper and chromium in mulberry leaves with a wavelength range of 219–877 nm were obtained for calibration analysis [1].
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spelling pubmed-76771082020-11-27 Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data Yang, Liang Meng, Liuwei Gao, Huaqi Wang, Jingyu Zhao, Can Guo, Meimei He, Yong Huang, Lingxia Data Brief Data Article Five copper or chromium stress levels were carried out on mulberry leaf, and 20 samples were collected for each metal stress level. A total of 100 samples (copper or chromium) were processed into uniform pressed pellet. The mulberry leaf pellet was placed on a sample platform of laser-induced breakdown spectroscopy (LIBS) system. A laser was used to ablate the sample pellet and generate the emission lines, the intensity and delay time of laser ablation were 80 mJ and 4 μs respectively. To reduce the acquisition errors, 16 different positions of each sample were ablated for 5 accumulation. Then, 80 spectra were collected per sample and the average of them was considered as the sample spectrum for subsequent analysis. Finally, a total of 200 spectra of copper and chromium in mulberry leaves with a wavelength range of 219–877 nm were obtained for calibration analysis [1]. Elsevier 2020-11-02 /pmc/articles/PMC7677108/ /pubmed/33251302 http://dx.doi.org/10.1016/j.dib.2020.106483 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Yang, Liang
Meng, Liuwei
Gao, Huaqi
Wang, Jingyu
Zhao, Can
Guo, Meimei
He, Yong
Huang, Lingxia
Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data
title Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data
title_full Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data
title_fullStr Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data
title_full_unstemmed Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data
title_short Heavy metal detection in mulberry leaves: Laser-induced breakdown spectroscopy data
title_sort heavy metal detection in mulberry leaves: laser-induced breakdown spectroscopy data
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677108/
https://www.ncbi.nlm.nih.gov/pubmed/33251302
http://dx.doi.org/10.1016/j.dib.2020.106483
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