Specification for Sampling and Sample Preparation of Lead and Lead Alloys for Optical Emission Spectrometric or ICP Analysis

2020 ◽  
Author(s):  
Keyword(s):  
Sample Preparation ◽  
Optical Emission ◽  
Lead Alloys ◽  
Icp Analysis

scholarly journals Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1309
Author(s):  
Maame E. T. Croffie ◽  
Paul N. Williams ◽  
Owen Fenton ◽  
Anna Fenelon ◽  
Konrad Metzger ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Soil Texture ◽  
Contaminated Soils ◽  
Inductively Coupled Plasma ◽  
Soil Analysis ◽  
Optical Emission ◽  
Emission Spectrometry ◽  
Icp Oes ◽  
Fundamental Parameters ◽  
Inductively Coupled

Energy-dispersive X-ray fluorescence spectrometry (EDXRF) is a rapid and inexpensive method for soil analysis; however, analytical results are influenced by particle size effects and spectral interferences. The objective of this study was to optimise sample preparation and calibrations to improve the accuracy of EDXRF for soil tests. Methods of sample preparation were compared by calculating the recoveries of 13 elements in four International Soil-Analytical Exchange (ISE) standards prepared as loose powder (LP), pressed pellet (PP), and pressed pellet with wax binder (PPB). A matching library (ML) was created and evaluated against the fundamental parameters (FP) calibration using 20 ISE standards. Additionally, EDXRF results of 41 tillage soils were compared with Inductively coupled plasma optical emission spectrometry (ICP-OES) results. The PPB had most recoveries within the acceptable range of 80–120%; conversely, PP yielded the poorest element recoveries. For the calibration, the ML provided better recoveries of Ni, Pb, Cu, Mg, S, P, and Cr; however, for Zn, and Mn, it had the opposite effect. Furthermore, EDXRF results compared with ICP-OES separated by soil texture class for Al, K, Mn, and Fe. In conclusion, the EDXRF is suitable for quantifying both trace elements and macronutrients in contaminated soils and has the potential to provide screening or prediction of soil texture in agriculture.

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