Method validation of an inductively coupled plasma mass spectrometry (ICP-MS) assay for the analysis of magnesium, copper and zinc in red blood cells
•ICP-MS method validation for the quantification of copper, magnesium and zinc elements in RBCs.•Retrospective data was analyzed, and non-parametric reference intervals were calculated.•Patient results demonstrated the method was suitable to assess nutritional deficiency and toxicity. Laboratory mea...
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Veröffentlicht in: | Journal of mass spectrometry and advances in the clinical lab 2024-11, Vol.34, p.21-27 |
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Sprache: | eng |
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Zusammenfassung: | •ICP-MS method validation for the quantification of copper, magnesium and zinc elements in RBCs.•Retrospective data was analyzed, and non-parametric reference intervals were calculated.•Patient results demonstrated the method was suitable to assess nutritional deficiency and toxicity.
Laboratory measurements of trace elements such as magnesium (Mg), copper (Cu), and zinc (Zn) in red blood cells (RBCs) are essential for assessing nutritional status and diagnosing metal toxicity. The purpose of this study was to develop and validate an ICP-MS method for quantifying these elements in RBCs.
Packed RBCs were aliquoted and diluted in an alkaline diluent solution containing internal standards, 0.1 % Triton X-100, 0.1 % EDTA, and 1 % ammonium hydroxide. The resulting diluted specimen was analyzed using inductively coupled plasma mass spectrometry (ICP-MS) to quantitatively determine the levels of Mg, Cu, and Zn. The method underwent validation for accuracy, precision, method comparison, linearity, analytical sensitivity, and carryover. Additionally, retrospective data were analyzed, and non-parametric reference intervals were calculated.
Accuracy and linearity fell within the expected range of ≤±15 % for all analytes. Within-run, between-run, and total imprecision were ≤15 % coefficient of variation. All other validation experiments met the established acceptance criteria. Retrospective data analysis was conducted on patient samples using the method. The application of Tukey’s HSD test for multiple comparisons revealed statistically significant mean differences (p |
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ISSN: | 2667-145X 2667-1468 2667-145X |
DOI: | 10.1016/j.jmsacl.2024.10.003 |