Certifying NIST Standard Reference Material 2389a, Amino Acids in 0.1 mol/L HCl Absolute Quantification by ID LC-MS/MS

Published

May 18, 2010

Author(s)

Mark S. Lowenthal, David M. Bunk, Karen W. Phinney

Abstract

An isotope-dilution liquid chromatography-tandem mass spectrometry (ID LC-MS/MS) reference measurement procedure was developed to accurately quantify amino acid concentrations in NIST Standard Reference Material (SRM) 2389a Amino Acids in 0.1 mol/L Hydrochloric Acid. Seventeen stable amino acids were quantified using multiple-reaction monitoring (MRM). Results were compared to gravimetric measurements from the preparation of SRM 2389a, a reference material developed at NIST and intended for use in intra-laboratory calibrations and quality control. Quantitative mass spectrometry results and gravimetry values were statistically combined into certified NIST values with associated error estimates. Coefficients of variation (CV) for the repeatability of the amino acid measurements ranged from 0.33% to 2.3% with an average CV of 0.86%. Relative expanded uncertainties of the measurement precision (including Types A and B uncertainties) ranged from 1.6% to 4.8% among amino acids with an average expanded uncertainty of 2.3%. Mean accuracy of the LC-MS/MS measurements with gravimetry agreed to within |1.1|% for all amino acids. NIST SRM2389a is currently available for characterization of routine methods and serves as a standard for higher order measurement traceability. This is the first time an ID-LC-MS/MS methodology has been applied for quantifying amino acids in a NIST SRM material.

Citation

Analytical and Bioanalytical Chemistry

Pub Type

Journals

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Keywords

amino acids, standard reference material, mass spectrometry, isotope dilution

Citation

Lowenthal, M. , Bunk, D. and Phinney, K. (2010), Certifying NIST Standard Reference Material 2389a, Amino Acids in 0.1 mol/L HCl Absolute Quantification by ID LC-MS/MS, Analytical and Bioanalytical Chemistry, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=903818 (Accessed December 5, 2024)