Journal
ANALYTICAL CHEMISTRY
Volume 94, Issue 28, Pages 10127-10134Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.2c01349
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- Korea Research Institute of Standards and Science
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This study developed dried blood spot (DBS) CRMs for amino acid analysis using isotope-dilution liquid chromatography-mass spectrometry (ID-MS), ensuring measurement traceability to the International System of Units (SI). The certified values are traceable to SI through both gravimetric preparation and the primary method in certification, ID-MS.
To achieve the measurement reliability of amino acids used as diagnostic markers in clinical fields, establishing a reference measurement system is required, in which certified reference materials (CRMs) are an essential step in the hierarchy of measurement traceability. This study describes the development of dried blood spot (DBS) CRMs for amino acid analysis with complete measurement traceability to the International System of Units (SI). Six essential amino acids-proline, valine, isoleucine, leucine, phenylalanine, and tyrosine-were analyzed using isotope-dilution liquid chromatography-mass spectrometry (ID-MS). For minimizing measurement bias and uncertainty overestimation, whole spots with 50 mu L of whole blood were adopted in the certification. The between-spot homogeneities by whole spot sampling were lower than 2.1%. The relative expanded uncertainties of the six amino acids in the developed DBS CRMs were lower than 5.7% at 95% confidence. The certified values are traceable to SI through both gravimetric preparation and the primary method in certification, ID-MS. Comparison among DBS testing laboratories revealed discrepancies between the whole spot and disc sampling methods. The actual sampling volume was accurately estimated by weighing, which revealed the possibility of underestimation in routine DBS testing. The candidate CRMs can support the standardization of DBS testing for amino acids through the qualification and validation of many kinds of measurement procedures to compensate the measurement bias caused by matrix-specific sampling error.
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