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The increasing concern over agricultural contamination, driven by the rapid expansion of industrial activities and the widespread use of agrochemicals, has necessitated the development of reliable and efficient analytical techniques for monitoring and assessing contaminants in agricultural environments. X-Ray fluorescence (XRF) spectroscopy has emerged as a valuable tool in this context, offering a non-destructive, rapid, and cost-effective method for the analysis of a wide range of elements in various matrices, including soil, plant tissues, and agricultural products. This review explores the application of XRF in agriculture, with a particular focus on its use for measuring contamination and the integration of chemometric tools to enhance the accuracy and interpretability of the results. Chemometric tools have been increasingly applied in conjunction with XRF analysis. Chemometrics involves the application of mathematical and statistical methods to optimize experimental design, enhance data interpretation, and improve the accuracy of quantitative analysis. The integration of chemometric methods with XRF has proven to be particularly effective in agricultural contamination studies. By employing these tools, researchers can develop robust calibration models that account for the variability inherent in agricultural samples, thereby improving the reliability of contaminant quantification.

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X-Ray Fluorescence in Analyzing Agricultural Contamination via Chemometric Tools

  • 章节

  • 发表日期：

    2025年

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  • John Tsado Mathew,
  • Abel Inobeme,
  • Yakubu Azeh,
  • Musah Monday,
  • Elijah Yanda Shaba,
  • Tanko Ezekiel,
  • Etsuyankpa Muhammad Bini,
  • Musa Safiyano Tanko,
  • Jibrin Mohammed Ndejiko,
  • Jonathan Hussaini,
  • Charles Oluwaseun Adetunji,
  • Muhammad Aishetu Ibrahim,
  • Amos Mamman

摘要

The increasing concern over agricultural contamination, driven by the rapid expansion of industrial activities and the widespread use of agrochemicals, has necessitated the development of reliable and efficient analytical techniques for monitoring and assessing contaminants in agricultural environments. X-Ray fluorescence (XRF) spectroscopy has emerged as a valuable tool in this context, offering a non-destructive, rapid, and cost-effective method for the analysis of a wide range of elements in various matrices, including soil, plant tissues, and agricultural products. This review explores the application of XRF in agriculture, with a particular focus on its use for measuring contamination and the integration of chemometric tools to enhance the accuracy and interpretability of the results. Chemometric tools have been increasingly applied in conjunction with XRF analysis. Chemometrics involves the application of mathematical and statistical methods to optimize experimental design, enhance data interpretation, and improve the accuracy of quantitative analysis. The integration of chemometric methods with XRF has proven to be particularly effective in agricultural contamination studies. By employing these tools, researchers can develop robust calibration models that account for the variability inherent in agricultural samples, thereby improving the reliability of contaminant quantification.