4.0 Article

Rapid monitoring of heavy metals in fluvial sediments using laser-induced breakdown spectroscopy

期刊

REVISTA MEXICANA DE FISICA
卷 65, 期 5, 页码 440-448

出版社

SOC MEXICANA FISICA
DOI: 10.31349/RevMexFis.65.440

关键词

Fluvial sediments; Chromium; Copper; Laser-induced breakdown spectroscopy

资金

  1. Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET)
  2. Comision de Investigaciones Cientificas de la Provincia de Buenos Aires (CICPBA)

向作者/读者索取更多资源

In this work, a quantitative analysis of heavy metals Cr and Cu in fluvial sediments was carried out by Laser-induced breakdown Spectroscopy (LIBS) to assess the anthropogenic. To perform the analysis, different sediment samples were collected at selected positions. Standard addition calibration curves were constructed for Cr and Cu by measuring the Cr I line at 357.87 nm and Cu I line at 324.75 nm. The moisture and organic matter contents of the sediments were taken into account to overcome the matrix effect. The quantitative models were evaluated statistically to evaluate the robustness and prediction ability of the method. Low values for root-mean-square errors for calibration (RMSEC), prediction (RMSEP) and cross-validation (RMSECV) were calculated. High values of the correlation coefficients of calibration (R-2(c) = 0:984 for Cr; R-2(c) = 0:986 for Cu) and cross-validation (R-2(cv) = 0:985 for Cr; R-2(cv) = 0:981 for Cu) were obtained. The calculated limits of detection (LoD) were 2.9 ppm for Cr and 3.3 ppm for Cu, and the limits of quantification (LoQ) were 9.5 ppm for Cr and 11 ppm for Cu. Concentrations of Cr and Cu higher than the baseline values were obtained in the sediments downstream (Cr: 49 ppm, Cu: 81 ppm) which are indicative of the pollution of the basin by heavy metals due to the spill of untreated effluents derived from anthropogenic activities. LIBS analysis was optimized for reliable heavy metal monitoring in fluvial sediments.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据