Literature DB >> 19272593

Heavy metal concentrations in soils as determined by laser-induced breakdown spectroscopy (LIBS), with special emphasis on chromium.

G S Senesi1, M Dell'Aglio, R Gaudiuso, A De Giacomo, C Zaccone, O De Pascale, T M Miano, M Capitelli.   

Abstract

Soil is unanimously considered as one of the most important sink of heavy metals released by human activities. Heavy metal analysis of natural and polluted soils is generally conducted by the use of atomic absorption spectroscopy (AAS) or inductively coupled plasma optical emission spectroscopy (ICP-OES) on adequately obtained soil extracts. Although in recent years the emergent technique of laser-induced breakdown spectroscopy (LIBS) has been applied widely and with increasing success for the qualitative and quantitative analyses of a number of heavy metals in soil matrices with relevant simplification of the conventional methodologies, the technique still requires further confirmation before it can be applied fully successfully in soil analyses. The main objective of this work was to demonstrate that new developments in LIBS technique are able to provide reliable qualitative and quantitative analytical evaluation of several heavy metals in soils, with special focus on the element chromium (Cr), and with reference to the concentrations measured by conventional ICP spectroscopy. The preliminary qualitative LIBS analysis of five soil samples and one sewage sludge sample has allowed the detection of a number of elements including Al, Ca, Cr, Cu, Fe, Mg, Mn, Pb, Si, Ti, V and Zn. Of these, a quantitative analysis was also possible for the elements Cr, Cu, Pb, V and Zn based on the obtained linearity of the calibration curves constructed for each heavy metal, i.e., the proportionality between the intensity of the LIBS emission peaks and the concentration of each heavy metal in the sample measured by ICP. In particular, a triplet of emission lines for Cr could be used for its quantitative measurement. The consistency of experiments made on various samples was supported by the same characteristics of the laser-induced plasma (LIP), i.e., the typical linear distribution confirming the existence of local thermodynamic equilibrium (LTE) condition, and similar excitation temperatures and comparable electron number density measured for all samples. An index of the anthropogenic contribution of Cr in polluted soils was calculated in comparison to a non-polluted reference soil. Thus, the intensity ratios of the emission lines of heavy metal can be used to detect in few minutes the polluted areas for which a more detailed sampling and analysis can be useful.

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Year:  2009        PMID: 19272593     DOI: 10.1016/j.envres.2009.02.005

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  7 in total

1.  Concentration estimation of heavy metal in soils from typical sewage irrigation area of Shandong Province, China using reflectance spectroscopy.

Authors:  Fei Wang; Chunfang Li; Jining Wang; Wentao Cao; Quanyuan Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-01       Impact factor: 4.223

Review 2.  Laser induced breakdown spectroscopy for elemental analysis in environmental, cultural heritage and space applications: a review of methods and results.

Authors:  Rosalba Gaudiuso; Marcella Dell'Aglio; Olga De Pascale; Giorgio S Senesi; Alessandro De Giacomo
Journal:  Sensors (Basel)       Date:  2010-08-09       Impact factor: 3.576

3.  Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis.

Authors:  Fei Liu; Lanhan Ye; Jiyu Peng; Kunlin Song; Tingting Shen; Chu Zhang; Yong He
Journal:  Sensors (Basel)       Date:  2018-02-27       Impact factor: 3.576

4.  Detecting and Mapping Harmful Chemicals in Fruit and Vegetables Using Nanoparticle-Enhanced Laser-Induced Breakdown Spectroscopy.

Authors:  Xiande Zhao; Chunjiang Zhao; Xiaofan Du; Daming Dong
Journal:  Sci Rep       Date:  2019-01-29       Impact factor: 4.379

5.  The Analysis of Lead Phytotoxicity in Seeds Using CO2 Laser Photoacoustic Spectroscopy.

Authors:  Cristina Popa; Ana Maria Bratu; Mioara Petrus; Mihaela Bacalum
Journal:  Molecules       Date:  2020-04-02       Impact factor: 4.411

6.  Estimation of the Fe and Cu Contents of the Surface Water in the Ebinur Lake Basin Based on LIBS and a Machine Learning Algorithm.

Authors:  Xianlong Zhang; Fei Zhang; Hsiang-Te Kung; Ping Shi; Ayinuer Yushanjiang; Shidan Zhu
Journal:  Int J Environ Res Public Health       Date:  2018-10-28       Impact factor: 3.390

7.  Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soils with Generalized LIBS Spectra.

Authors:  Chen Sun; Ye Tian; Liang Gao; Yishuai Niu; Tianlong Zhang; Hua Li; Yuqing Zhang; Zengqi Yue; Nicole Delepine-Gilon; Jin Yu
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  7 in total

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