2018
DOI: 10.1007/s10812-018-0598-4
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Analytical Energy Dispersive X-Ray Fluorescence Measurements with a Scanty Amounts of Plant and Soil Materials

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Cited by 3 publications
(2 citation statements)
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“…The ease of operation, less sensitivity to contamination, and especially the relatively low‐cost features make XRF a good choice for plant elemental analysis in comparison with ICP‐OES and ICP‐MS 60 . The energies and intensities of the emitted characteristic X‐rays from a material provide qualitative and quantitative information about constituent elements 61 . A disadvantage in the XRF analysis is the time‐consuming process of grinding and pelletizing the samples before analysis as the particle size and sample density are very critical to the sensitivity of the analysis 60 …”
Section: Minerals In Plant Biomassmentioning
confidence: 99%
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“…The ease of operation, less sensitivity to contamination, and especially the relatively low‐cost features make XRF a good choice for plant elemental analysis in comparison with ICP‐OES and ICP‐MS 60 . The energies and intensities of the emitted characteristic X‐rays from a material provide qualitative and quantitative information about constituent elements 61 . A disadvantage in the XRF analysis is the time‐consuming process of grinding and pelletizing the samples before analysis as the particle size and sample density are very critical to the sensitivity of the analysis 60 …”
Section: Minerals In Plant Biomassmentioning
confidence: 99%
“…Mineral elements Occurrence with ICP-OES and ICP-MS. 60 The energies and intensities of the emitted characteristic X-rays from a material provide qualitative and quantitative information about constituent elements. 61 A disadvantage in the XRF analysis is the timeconsuming process of grinding and pelletizing the samples before analysis as the particle size and sample density are very critical to the sensitivity of the analysis. 60 Sometimes, several X-ray-related techniques are used together to study the change of concentration and state of metal atoms in biomass samples.…”
Section: Groupmentioning
confidence: 99%