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

Waldron, S. , Scott, E. M. , Vihermaa, L. E. and Newton, J. (2014) Quantifying precision and accuracy of measurements of dissolved inorganic carbon stable isotopic composition using continuous-flow isotope-ratio mass spectrometry. Rapid Communications in Mass Spectrometry, 28(10), pp. 1117-1126. (doi:10.1002/rcm.6873)

[img]
Preview
Text
93263.pdf - Published Version
Available under License Creative Commons Attribution.

898kB

Publisher's URL: http://dx.doi.org/10.1002/rcm.6873

Abstract

RATIONALE: We describe an analytical procedure that allows sample collection and measurement of carbon isotopic composition (δ13CV-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.<p></p> 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.<p></p> 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 δ13CDIC 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 δ13CVPDB value of an unknown ranging from ± 0.44‰ to ± 1.33‰ (mean values) and a mean 95% CI half-width of ±1.1–3.1‰.<p></p> 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.<p></p>

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Waldron, Professor Susan and Scott, Professor E Marian and Newton, Dr Jason and Vihermaa, Dr Leena
Authors: Waldron, S., Scott, E. M., Vihermaa, L. E., and Newton, J.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Journal Name:Rapid Communications in Mass Spectrometry
Publisher:John Wiley & Sons Ltd
ISSN:0951-4198
ISSN (Online):1097-0231
Copyright Holders:Copyright © 2014 The Authors
First Published:First published in Rapid Communications in Mass Spectrometry 28(10):1117-1126
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
403411Under what conditions do rivers act as a net sink or source of atmospheric carbon dioxide?Susan WaldronNatural Environment Research Council (NERC)NER/J/Z/2001/00SCHOOL OF GEOGRAPHICAL & EARTH SCIENCES