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Potential Application of Laser‐Induced Breakdown Spectroscopy (LIBS) Data for the Determination of Cation Exchange Capacity (CEC) of Agricultural Soils
Author(s) -
Pelagio Michael C.,
Navarro Divina A.,
Janik Les J.,
Lamorena Rheo B.
Publication year - 2020
Publication title -
chemistryselect
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 34
ISSN - 2365-6549
DOI - 10.1002/slct.202000107
Subject(s) - laser induced breakdown spectroscopy , cation exchange capacity , soil water , calibration , analytical chemistry (journal) , spectroscopy , multivariate statistics , chemistry , mean squared error , mathematics , soil science , environmental science , environmental chemistry , statistics , physics , quantum mechanics
The potential for Laser Induced Breakdown Spectroscopy (LIBS) technique to predict cation exchange capacity (CEC) values in agricultural soils, based on a partial least square (PLS) regression model, was investigated by analysing soils (N= 225) using a portable LIBS system. The prediction from the validation set was 0.75 and the RMSE was 5.4 cmol+/kg. Analysis of the PLS loading weights showed that emission lines that correlate with the exchangeable cations (Ca, Mg, K and Na) and clay (Al and Si) are significant. Good quality predictions could be obtained from the model as described by the ratio of performance to deviation (RPD) values calculated for calibration (RPDc =1.99) and validation (RPDv=2.02). The ratio of performance to interquartile distance (RPIQ) for calibration (RPIQc=3.20) and validation (RPIQv=3.32) indicated excellent prediction capability. It has been demonstrated that LIBS spectra coupled with multivariate data analysis could be used to predict CEC of agricultural soils which is considered fast and a chemical‐free technique.