Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Three-stage pyrolysis–steam reforming–water gas shift processing of household, commercial and industrial waste plastics for hydrogen production3citations
  • 2023Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF-SIMS and Self-Organizing maps8citations
  • 2023Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF‐SIMS and Self‐Organizing maps8citations
  • 2020Determination of trace elements and macronutrients in agricultural soils using energy dispersive X-ray fluorescence as a rapid and precise analytical techniquecitations
  • 2019Parametric Study of CO2 Methanation for Synthetic Natural Gas Production60citations
  • 2016Study of the magnetite to maghemite transition using microwave permittivity and permeability measurements107citations
  • 2016Probabilistic Fracture Mechanics of Reactor Pressure Vessels with Populations of Flawscitations

Places of action

Chart of shared publication
Nahil, Mohamad A.
2 / 3 shared
Sait-Stewart, Robert
1 / 1 shared
Alshareef, Rayed
1 / 1 shared
Winkler, David A.
1 / 4 shared
Pigram, Paul J.
1 / 5 shared
Hook, Andrew L.
2 / 5 shared
Gardner, Wil
2 / 8 shared
Davies, Martyn C.
1 / 5 shared
Ballabio, Davide
2 / 5 shared
Wong, See Yoong
2 / 2 shared
Muir, Benjamin W.
1 / 6 shared
Chang, Chienyi
1 / 1 shared
Alexander, Morgan R.
1 / 10 shared
Mei, Ying
2 / 2 shared
Winkler, David
1 / 3 shared
Chang, Chien-Yi
1 / 1 shared
Martyn, C. Davies
1 / 1 shared
Alexander, Morgan
1 / 4 shared
Pigram, Paul
1 / 10 shared
Muir, Benjamin Ward
1 / 14 shared
Daly, Karen
1 / 2 shared
Croffie, Maame Ekua Tawiah
1 / 1 shared
Fenelon, Anna
1 / 1 shared
Fenton, Owen
1 / 1 shared
Metzger, Konrad
1 / 1 shared
Jaffar, Mohammad M.
1 / 1 shared
Morgan, David John
1 / 5 shared
Bugler, Keith
1 / 1 shared
Porch, Adrian
1 / 14 shared
Bauer, Johann
1 / 3 shared
Cuenca, Jerome Alexander
1 / 2 shared
Taylor, Stuart H.
1 / 5 shared
Spencer, Benjamin
1 / 2 shared
Backman, Marie
1 / 4 shared
Bass, B. Richard
1 / 1 shared
Hoffman, William
1 / 2 shared
Klasky, Hilda
1 / 1 shared
Alfonsi, Andrea
1 / 1 shared
Dickson, Terry
1 / 1 shared
Chart of publication period
2024
2023
2020
2019
2016

Co-Authors (by relevance)

  • Nahil, Mohamad A.
  • Sait-Stewart, Robert
  • Alshareef, Rayed
  • Winkler, David A.
  • Pigram, Paul J.
  • Hook, Andrew L.
  • Gardner, Wil
  • Davies, Martyn C.
  • Ballabio, Davide
  • Wong, See Yoong
  • Muir, Benjamin W.
  • Chang, Chienyi
  • Alexander, Morgan R.
  • Mei, Ying
  • Winkler, David
  • Chang, Chien-Yi
  • Martyn, C. Davies
  • Alexander, Morgan
  • Pigram, Paul
  • Muir, Benjamin Ward
  • Daly, Karen
  • Croffie, Maame Ekua Tawiah
  • Fenelon, Anna
  • Fenton, Owen
  • Metzger, Konrad
  • Jaffar, Mohammad M.
  • Morgan, David John
  • Bugler, Keith
  • Porch, Adrian
  • Bauer, Johann
  • Cuenca, Jerome Alexander
  • Taylor, Stuart H.
  • Spencer, Benjamin
  • Backman, Marie
  • Bass, B. Richard
  • Hoffman, William
  • Klasky, Hilda
  • Alfonsi, Andrea
  • Dickson, Terry
OrganizationsLocationPeople

document

Determination of trace elements and macronutrients in agricultural soils using energy dispersive X-ray fluorescence as a rapid and precise analytical technique

  • Daly, Karen
  • Croffie, Maame Ekua Tawiah
  • Fenelon, Anna
  • Fenton, Owen
  • Williams, Paul
  • Metzger, Konrad
Abstract

X-ray fluorescence spectrometry (XRF) is a rapid and inexpensive method for soil analysis. Although, not as precise and accurate as mineral acid digestion-Inductively Coupled Plasma spectrometry for soil testing at present, the XRF method has the potential to be optimised. The objective of this study was to reduce moisture effects, particle size effects and spectra interferences on trace element and macronutrient analyses by improving soil sample preparation and XRF calibration, using bench top Energy-dispersive X-ray Fluorescence Spectrometry (EDXRF). The soil particle size effects study involved samples prepared as pressed powders, pressed pellets, and pressed pellets with a wax binder. After which, the recoveries of Al, Cr, Ni, Mn, Pb, Ca, Fe, K, Mg, P, S and Zn were evaluated as a measure of accuracy and precision. The XRF was calibrated with the fundamental parameters (FP) and matching library (FPML) methods to reduce spectral interferences and validated with certified reference materials. In addition, both XRF methods (FP and FPML) were compared with aqua regia digestion (acid digestion) -Inductively Coupled Plasma-Optic Emission Spectrometry (ICP-OES) using concordance correlation coefficient (CCC), whereby a value of 1 indicated good agreement between methods. There were significant differences (p<0.05) between the sample preparation methods and the pressed pellet with wax binder had the best accuracy and precision for all the elements. In addition, for the calibration study, the FPML gave better recoveries of Ni, Ca, Mg, S, P, Cr compared to the FP, however, for Fe, Zn, K and Mn the FP had better recoveries than the FPML. Furthermore, there was good agreement (CCC>0.80) between both XRF methods and ICP-OES for all elements except Al, P, Cu, K, S and Cr (CCC<0.60). Aqua regia digestion underestimated the total concentration of Al and K, thus, the XRF had better accuracy for predicting these elements. However, for Cr, S, Cu and P, the XRF overestimated the concentration of these elements in soil. This study has shown that the XRF is as accurate as the ICP-spectrometry for most elements when properly calibrated with the advantage of having a shorter sample preparation. Thus, environmental analysts can monitor soils frequently using the XRF without losing analytical results especially with Al and K and also incurring substantial costs in analyses as with traditional methods.

Topics
  • impedance spectroscopy
  • mineral
  • spectrometry
  • atomic emission spectroscopy
  • trace element
  • X-ray fluorescence spectroscopy
  • acid digestion