TY - JOUR
T1 - Correcting for nonlinearity effects of continuous flow isotope ratio mass spectrometry across a wide dynamic range
AU - Kornfeld, Ari
AU - Horton, Travis W.
AU - Yakir, Dan
AU - Turnbull, Matthew H.
N1 - Marsden Fund of the Royal Society of New Zealand [06-UOC-028]; Education New Zealand and the University of CanterburyThis work was supported by a grant from the Marsden Fund of the Royal Society of New Zealand (#06-UOC-028) as well as scholarship grants for A. Kornfeld from Education New Zealand and the University of Canterbury. We would also like to thank the reviewers for their constructive comments on earlier versions of this manuscript.
PY - 2012/2/29
Y1 - 2012/2/29
N2 - RATIONALE Environmental and biological investigations may require samples that vary over a wide range of concentrations and isotope ratios, making measurements using continuous flow isotope ratio mass spectrometry (CF-IRMS) problematic due to nonlinear signal response. We therefore developed a mathematical approach for correcting nonlinearities over a wide range of sample concentrations and actual δ values. METHODS Dilution series for two standards were prepared in septum-capped vials and introduced into the mass spectrometer via the standard sampling pathway. Parameters for a nonlinear signal correction were determined by regression on measured isotope ratio vs. both signal strength and actual isotope ratio. We further extended the dynamic range by adjusting the position of an open split based on analyte concentration. Effects of the open split setting required additional mathematical correction. RESULTS The nonlinearities were corrected over a 100-fold range of sample concentrations and across a 600° change in isotope ratios (for δO 2/N2 values). The precision, measured as standard deviation, across the upper 90% of the concentration range was ±0.08°, ±0.05°, and ±2.6° for δ18O, δ15N, and δO2/N 2 values, respectively; the precision across the lower 10% of the range was ±0.22°, ±0.07°, and ±7.6°, respectively. In all cases the linearity correction represented only a small fraction of these precision values. CONCLUSIONS The empirical correction described here provides a relatively simple yet effective way to increase the usable signal range for CF-IRMS applications. This improvement in dynamic range should be especially helpful for environmental and biological field studies, where sampling methods may be constrained by external factors.
AB - RATIONALE Environmental and biological investigations may require samples that vary over a wide range of concentrations and isotope ratios, making measurements using continuous flow isotope ratio mass spectrometry (CF-IRMS) problematic due to nonlinear signal response. We therefore developed a mathematical approach for correcting nonlinearities over a wide range of sample concentrations and actual δ values. METHODS Dilution series for two standards were prepared in septum-capped vials and introduced into the mass spectrometer via the standard sampling pathway. Parameters for a nonlinear signal correction were determined by regression on measured isotope ratio vs. both signal strength and actual isotope ratio. We further extended the dynamic range by adjusting the position of an open split based on analyte concentration. Effects of the open split setting required additional mathematical correction. RESULTS The nonlinearities were corrected over a 100-fold range of sample concentrations and across a 600° change in isotope ratios (for δO 2/N2 values). The precision, measured as standard deviation, across the upper 90% of the concentration range was ±0.08°, ±0.05°, and ±2.6° for δ18O, δ15N, and δO2/N 2 values, respectively; the precision across the lower 10% of the range was ±0.22°, ±0.07°, and ±7.6°, respectively. In all cases the linearity correction represented only a small fraction of these precision values. CONCLUSIONS The empirical correction described here provides a relatively simple yet effective way to increase the usable signal range for CF-IRMS applications. This improvement in dynamic range should be especially helpful for environmental and biological field studies, where sampling methods may be constrained by external factors.
UR - http://www.scopus.com/inward/record.url?scp=84856284543&partnerID=8YFLogxK
U2 - 10.1002/rcm.6120
DO - 10.1002/rcm.6120
M3 - مقالة
SN - 0951-4198
VL - 26
SP - 460
EP - 468
JO - Rapid Communications in Mass Spectrometry
JF - Rapid Communications in Mass Spectrometry
IS - 4
ER -