Literature DB >> 24787177

Quantification of total carbon in soil using laser-induced breakdown spectroscopy: a method to correct interference lines.

Gustavo Nicolodelli, Bruno S Marangoni, Jader S Cabral, Paulino R Villas-Boas, Giorgio S Senesi, Cléber Hilario Dos Santos, Renan A Romano, Aline Segnini, Yves Lucas, Célia R Montes, Débora M B P Milori.   

Abstract

The C cycle in the Brazilian forests is very important, mainly for issues addressed to climate changes and soil management. Assessing and understanding C dynamics in Amazonian soils can help scientists to improve models and anticipate scenarios. New methods that allow soil C measurements in situ are a crucial approach for this kind of region, due to the costs for collecting and sending soil samples from the rainforest to the laboratory. Laser-induced breakdown spectroscopy (LIBS) is a multielemental atomic emission spectroscopy technique that employs a highly energetic laser pulse for plasma production and requires neither sample preparation nor the use of reagents. As LIBS takes less than 10 s per sample measurement, it is considered a promising technique for in situ soil analyses. One of the limitations of portable LIBS systems, however, is the common overlap of the emission lines that cannot be spectrally resolved. In this study a method was developed capable of separating the Al interference from the C emission line in LIBS measurements. Two typical forest Brazilian soils rich in Al were investigated: a spodosol (Amazon Forest) and an oxisol (Atlantic Forest). Fifty-three samples were collected and analyzed using a low-resolution LIBS apparatus to measure the intensities of C lines. In particular, two C lines were evaluated, at 193.03 and 247.86 nm. The line at 247.86 nm showed very strong interference with Fe and Si lines, which made quantitative analysis difficult. The line at 193.03 nm showed interference with atomic and ionic Al emission lines, but this problem could be solved by applying a correction method that was proposed and tested in this work. The line at 247.86 was used to assess the proposed model. The strong correlation (Pearson's coefficient R=0.91) found between the LIBS values and those obtained by a reference technique (dry combustion by an elemental analyzer) supported the validity of the proposed method.

Entities:  

Year:  2014        PMID: 24787177     DOI: 10.1364/AO.53.002170

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

1.  Effects of sample pretreatment and particle size on the determination of nitrogen in soil by portable LIBS and potential use on robotic-borne remote Martian and agricultural soil analysis systems.

Authors:  Xiu T Yan; Karen M Donaldson; Christine M Davidson; Yichun Gao; Hanling Wu; Andrew M Houston; Aron Kisdi
Journal:  RSC Adv       Date:  2018-10-31       Impact factor: 4.036

2.  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

3.  Comparison of Calibration Approaches in Laser-Induced Breakdown Spectroscopy for Proximal Soil Sensing in Precision Agriculture.

Authors:  Daniel Riebe; Alexander Erler; Pia Brinkmann; Toralf Beitz; Hans-Gerd Löhmannsröben; Robin Gebbers
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

  3 in total

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