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Replication data for: Plant elemental composition and portable X-ray fluorescence (pXRF) spectroscopy: quantification under different analytical parameters

World Agroforestry - Research Data Repository Dataverse OAI Archive

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Title Replication data for: Plant elemental composition and portable X-ray fluorescence (pXRF) spectroscopy: quantification under different analytical parameters
 
Identifier https://doi.org/10.34725/DVN/WGWE8S
 
Creator Towett, Erick
Shepherd, Keith
Lee Drake, B
 
Publisher World Agroforestry - Research Data Repository
 
Description Emergence of portable X-ray fluorescence (pXRF) systems presents new opportunities for rapid, low-cost plant analysis, both as a lab system and in situ system. Numerous studies have extolled the virtues of using pXRF for a wide range of plant applications, however, formany such applications, there is need for further assessmentwith regards to analytical parameters for plant analysis. While pXRF is a potential powerful research tool for elemental composition analysis, its successful use in plant analysis is made more likely by having an understanding of X-ray physics, calibration process, and ability to test a variety of homogenous and well-characterized materials for developing a matrix-specific calibration. Because potential pXRF users may often underestimate the complexity of proper analysis, this study aims at providing a technical background for plant analysis using pXRF. The focus is on elemental quantification under different analytical parameters and different methods of sample presentation: direct surface contact under vacuum, placement in a sample cup with prolene as a seal, and without the aid of a vacuum. Direct analysis on the surface of a pXRF provided highest sensitivity and accuracy (R2>0.90) for light elements (Mg to P). Sulfur, K, and Ca can be reliably measured without the aid of a vacuum (R2>0.99, 0.97, and 0.93 respectively), although lower detection limits may be compromised. pXRF instruments provide plant data of sufficient accuracy for many applications and will reduce the overall time and budget compared with the use of conventional techniques. Sensitivity and accuracy are dependent on the instrument’s settings, make, and model.
 
Subject Agricultural Sciences
Chemistry
Physics
 
Contributor Towett, Erick