Preliminary Results: Energy Dispersive X-Ray Fluorescence and Partial Least Squares Regression for Organic Matter Determination in Soil

被引:11
|
作者
Melquiades, Fabio Luiz [1 ]
dos Santos, Felipe Rodrigues [1 ]
机构
[1] Univ Estadual Centro Oeste, Dept Phys, BR-85040080 Guarapuava, PR, Brazil
关键词
multivariate regression; organic matter; PLS regression; sediment; X-ray fluorescence; SCATTERING; CLASSIFICATION; CHEMOMETRICS; QUALITY;
D O I
10.1080/00387010.2013.874532
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The determination of organic matter in soil and sediment requires several laboratory steps and use of reagents. The objective of this study is to propose an alternative method for organic matter determination in lake sediments samples, by the combination of energy dispersive X-ray fluorescence and partial least squares regression, allowing the quantification of these parameters rapidly and nondestructively. The prediction values of the model presented a relative deviation up to 8%. It could be concluded that multivariate calibration using spectral data from X-ray fluorescence is a fast and feasible technique, with potential to replace the conventional techniques commonly used.
引用
收藏
页码:286 / 289
页数:4
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