CIOMP OpenIR
Establishment and evaluation of a quantitative analysis model for potentially toxic metals in wet soil samples by LIBS
Y. X. Xu; B. Han; X. Tan; Q. B. Jiao; Z. Y. Ma; B. L. Lv; Y. H. Li; H. Li; Y. B. Zou and L. Yang
2022
发表期刊European Journal of Soil Science
ISSN1351-0754
卷号73期号:2页码:10
摘要Fast on-site detection of potentially toxic metals in soils is crucial for soil remediation and contamination monitoring. The moisture in soils is a challenge for quantitative analysis of potentially toxic metals. Here, we used laser-induced breakdown spectroscopy (LIBS) and partial least squares regression (PLSR) for fast on-site quantitative analysis of potentially toxic metals in wet soil samples. The model offered direct measurement of the moisture content in soil samples: the coefficient of determination (R-2) value and the root-mean-square error of prediction (RMSEP) of predicted moisture content were 0.98% and 1.3%, respectively. The correlation between laser ablation factor and moisture content of the samples was determined by analysing the influence of sample moisture content on laser ablation. Quantitative analysis of wet soil samples based on ablation factor was established with an R-2 of 0.97. Potentially toxic elemental Cu and Cr in sample 4# were verified by the quantitative analysis model through weighing and direct measurement. The relative error of concentration was within 10%, and the accuracy was improved by over 80%. The preliminary results show that the quantitative analysis model of potentially toxic metals in wet soil samples based on LIBS technology can detect potentially toxic metals in wet soil samples quickly and accurately on-site. This has important guiding significance for real-time and on-site monitoring of contaminated soils. Highlights Fast on-site quantitative analysis of potentially toxic metals in wet soil samples Quantitative analysis of wet soil samples based on ablation factor was established The relative error of concentration was within 10%, and the accuracy was improved by over 80% The model can detect potentially toxic metals in wet soil samples quickly and accurately on-site
DOI10.1111/ejss.13213
URL查看原文
收录类别sci
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/66641
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Y. X. Xu,B. Han,X. Tan,et al. Establishment and evaluation of a quantitative analysis model for potentially toxic metals in wet soil samples by LIBS[J]. European Journal of Soil Science,2022,73(2):10.
APA Y. X. Xu.,B. Han.,X. Tan.,Q. B. Jiao.,Z. Y. Ma.,...&Y. B. Zou and L. Yang.(2022).Establishment and evaluation of a quantitative analysis model for potentially toxic metals in wet soil samples by LIBS.European Journal of Soil Science,73(2),10.
MLA Y. X. Xu,et al."Establishment and evaluation of a quantitative analysis model for potentially toxic metals in wet soil samples by LIBS".European Journal of Soil Science 73.2(2022):10.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Establishment and ev(1883KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Y. X. Xu]的文章
[B. Han]的文章
[X. Tan]的文章
百度学术
百度学术中相似的文章
[Y. X. Xu]的文章
[B. Han]的文章
[X. Tan]的文章
必应学术
必应学术中相似的文章
[Y. X. Xu]的文章
[B. Han]的文章
[X. Tan]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Establishment and evaluation of a quantitative.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。