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Calcium element quantification model using a portable X-ray fluorescence unit.

Claudio H González-Rojas1, Cristián Castro-Rodriguez1, Sebastián Gutiérrez-Vivanco1

  • 1Department of Chemistry, Faculty of Sciences, Universidad de Tarapacá, Velásquez Av. 1775, XV Region, Box 7-D, Arica, Chile.

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Summary

A new method effectively quantifies soil Calcium using portable X-ray Fluorescence (pXRF). This approach, validated against Atomic Absorption Spectroscopy (AAS), offers a reliable protocol for sediment analysis.

Keywords:
CalciumCalcium quantitative analysesDeterminationPortableQuantitativeX-ray fluorescence

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Geochemistry

Background:

  • Accurate quantification of soil elements is crucial for environmental monitoring and agricultural applications.
  • Portable X-ray Fluorescence (pXRF) offers a field-deployable solution for elemental analysis.
  • Existing pXRF methods may present challenges in accurately determining analyte concentrations, particularly for elements like Calcium.

Purpose of the Study:

  • To develop and validate a robust methodology for quantifying Calcium in soil samples using portable X-ray Fluorescence (pXRF).
  • To compare pXRF results with a standard analytical technique, Atomic Absorption Spectroscopy (AAS).
  • To address limitations in pXRF data interpretation for accurate weight/weight (w/w) analyte percentages.

Main Methods:

  • Preparation of ideal matrices using gravimetric techniques with Calcium and Sodium Nitrate.
  • Calibration of Calcium's fluorescent emission line using a standard reference material (bone ash).
  • Validation of pXRF against AAS using linear correlation and statistical inference on ideal samples.

Main Results:

  • pXRF quantification of Calcium in ideal samples consistently overestimated concentrations compared to the AAS standard curve (values of 1.8 and 1.68).
  • High correlation coefficients (close to 1.0) were observed, indicating a predictable relationship between pXRF and AAS.
  • The developed statistical inference equation allows for the correction of pXRF overestimation.

Conclusions:

  • The proposed pXRF methodology, coupled with statistical correction, provides an effective means for quantifying Calcium in soil and sediment samples.
  • This protocol addresses the overestimation tendency of pXRF compared to AAS.
  • The study validates the application of pXRF for reliable elemental analysis in environmental matrices.