Quantifying precision and accuracy of measurements of dissolved inorganic carbon stable isotopic composition using continuous-flow isotope-ratio mass spectrometry

RATIONALE We describe an analytical procedure that allows sample collection and measurement of carbon isotopic composition (delta C-13(V-PDB) value) and dissolved inorganic carbon concentration, [DIC], in aqueous samples without further manipulation post field collection. By comparing outputs from two different mass spectrometers, we quantify with the statistical rigour uncertainty associated with the estimation of an unknown measurement. This is rarely undertaken, but it is needed to understand the significance of field data and to interpret quality assurance exercises. METHODS Immediate acidification of field samples during collection in evacuated, pre-acidified vials removed the need for toxic chemicals to inhibit continued bacterial activity that might compromise isotopic and concentration measurements. Aqueous standards mimicked the sample matrix and avoided headspace fractionation corrections. Samples were analysed using continuous-flow isotope-ratio mass spectrometry, but for low DIC concentration the mass spectrometer response could be non-linear. This had to be corrected for. RESULTS Mass spectrometer non-linearity exists. Rather than estimating precision as the repeat analysis of an internal standard, we have adopted inverse linear calibrations to quantify the precision and 95% confidence intervals (CI) of the delta C-13(DIC) values. The response for [DIC] estimation was always linear. For 0.05-0.5 mM DIC internal standards, however, changes in mass spectrometer linearity resulted in estimations of the precision in the delta C-13(VPDB) value of an unknown ranging from +/- 0.44 parts per thousand to +/- 1.33 parts per thousand (mean values) and a mean 95% CI half-width of +/- 1.1-3.1 parts per thousand. CONCLUSIONS Mass spectrometer non-linearity should be considered in estimating uncertainty in measurement. Similarly, statistically robust estimates of precision and accuracy should also be adopted. Such estimations do not inhibit research advances: our consideration of small-scale spatial variability at two points on a small order river system demonstrates field data ranges larger than the precision and uncertainties. However, without such statistical quantification, exercises such as inter-lab calibrations are less meaningful. (c) 2014 The Authors. Rapid Communications in Mass Spectrometry Published by John Wiley & Sons Ltd.