2008
DOI: 10.1016/j.sab.2008.09.003
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Total carbon measurement in whole tropical soil sample

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Cited by 44 publications
(33 citation statements)
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“…For instance, the C emission line found at 247.86 nm was assessed in various LIBS soil studies, due to its high intensity [6] [7] [13]; however, as tropical soils have large amounts of Fe in their compositions, this Fe (II) line was found to strongly interfere with one of the C spectral lines. For this reason, we chose to assess the C line at 193.03 nm, which was also previously studied by our group [8] [15].…”
Section: Resultsmentioning
confidence: 99%
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“…For instance, the C emission line found at 247.86 nm was assessed in various LIBS soil studies, due to its high intensity [6] [7] [13]; however, as tropical soils have large amounts of Fe in their compositions, this Fe (II) line was found to strongly interfere with one of the C spectral lines. For this reason, we chose to assess the C line at 193.03 nm, which was also previously studied by our group [8] [15].…”
Section: Resultsmentioning
confidence: 99%
“…This low correlation is attributed to Al interference, since the C emission line at 193.03 nm suffers from subtle interference from Al lines. However, the intensity of the line at 193.58 nm was used for Previous papers by our group [8] [15] have shown methodologies for spectral correction, where Al interference was removed. However, in the present study we are suggesting a simpler method, with additional soil sampling, focusing on field analysis.…”
Section: Resultsmentioning
confidence: 99%
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“…PLS has been implemented either to calculate the concentrations of a single element (PLS-1) or to simultaneously calculate the concentrations of more than one element (PLS-2). In addition to PLS, other linear (MLR [84,85], PCR [50,73] and LASSO [75][76][77]) and nonlinear regression methods (ANN [86,87]) have been applied to LIBS quantitative analysis. In order to discern the most effective models for interpreting chemical abundances from LIBS spectra of geological samples, Boucher et al [77] had studied nine kinds of linear and nonlinear regression methods.…”
Section: The Comparison Of Calibration Methodsmentioning
confidence: 99%
“…Hence, quantification of soil carbon in field conditions has a significant challenge corresponding to global climatic changes and the carbon cycle. Recently, Da Silva et al [6] succeeded in calibrating a portable LIBS system to execute quantitative measurements of carbon content in a tropical soil sample. Even though their LIBS system was used for qualitative elemental analyses with no prior sample treatment, the results were obtained directly.…”
Section: Introductionmentioning
confidence: 99%