Continuous and unattended measurements of the site preference of nitrous oxide emitted from an agricultural soil using quantum cascade laser spectrometry with intercomparison with isotope ratio mass spectrometry

2014 ◽  
Vol 28 (13) ◽  
pp. 1444-1452 ◽  
Author(s):  
Akinori Yamamoto ◽  
Yoshitaka Uchida ◽  
Hiroko Akiyama ◽  
Yasuhiro Nakajima
Keyword(s):  
Mass Spectrometry ◽  
Nitrous Oxide ◽  
Quantum Cascade Laser ◽  
Isotope Ratio ◽  
Agricultural Soil ◽  
Isotope Ratio Mass Spectrometry ◽  
Site Preference ◽  
Quantum Cascade ◽  
Laser Spectrometry

scholarly journals pyisotopomer: A Python package for obtaining nitrous oxide isotopocules from isotope ratio mass spectrometry

2021 ◽  
Author(s):  
Colette Kelly ◽  
Cara Manning ◽  
Claudia Frey ◽  
Noah Noah Gluschankoff ◽  
Karen Casciotti
Keyword(s):  
Mass Spectrometry ◽  
Nitrous Oxide ◽  
Software Package ◽  
Isotope Ratio ◽  
Isotope Ratio Mass Spectrometry ◽  
Ion Source ◽  
Site Preference ◽  
Relative Uncertainty ◽  
User Friendly ◽  
Python Package

Obtaining nitrous oxide isotopocule measurements with isotope ratio mass spectrometry (IRMS) requires measuring the m/z ratios of the nitrous oxide (N2O) molecule as well as those of the NO+ fragment ion. This measurement depends on correcting for a phenomenon referred to as “scrambling” in the ion source, whereby the NO+ fragment ion contains the outer N atom from the N2O molecule. While descriptions of the scrambling correction exist in the literature, there has yet to be published a unified software package and method for performing this correction. We developed a user-friendly Python package (pyisotopomer), with a MATLAB alternative, to determine two coefficients that describe scrambling in the ion source of a given IRMS, and then to use this calibration to obtain N2O isotopocule measurements. We assess the sensitivity of pyisotopomer to its input parameters and discuss the relevant assumptions. We show that the scrambling behavior of an IRMS can vary with time, necessitating regular calibrations. We show that to obtain a relative uncertainty in site preference of <1‰, the relative uncertainty in each scrambling coefficient should be <0.2%. Finally, we present an intercalibration between two IRMS laboratories, using pyisotopomer to calculate scrambling and obtain N2O isotopocule data. Given these considerations, we discuss how to use this software package to obtain high-quality N2O isotopocule data from IRMS systems, including the use of appropriate reference materials and frequency of calibration.

scholarly journals Tree xylem water isotope analysis by Isotope Ratio Mass Spectrometry and laser spectrometry: A dataset to explore tree response to drought

Data in Brief ◽  
2020 ◽  
Vol 29 ◽  
pp. 105349
Author(s):  
Simon Damien Carrière ◽  
Nicolas K. Martin-StPaul ◽  
Coffi Belmys Cakpo ◽  
Nicolas Patris ◽  
Marina Gillon ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Isotope Ratio ◽  
Isotope Analysis ◽  
Isotope Ratio Mass Spectrometry ◽  
Laser Spectrometry ◽  
Water Isotope

scholarly journals Measuring stable isotopes of hydrogen and oxygen in ice by means of laser spectrometry: the Bølling transition in the Dye-3 (south Greenland) ice core

2002 ◽  
Vol 35 ◽  
pp. 125-130 ◽  
Author(s):  
Radboud van Trigt ◽  
Harro A. J. Meijer ◽  
Arny E. Sveinbjörnsdóttir ◽  
Sigfús J. Johnsen ◽  
Erik R.Th. Kerstel
Keyword(s):  
Mass Spectrometry ◽  
Isotope Ratio ◽  
Ice Core ◽  
Isotope Ratio Mass Spectrometry ◽  
Direct Absorption ◽  
Deuterium Excess ◽  
Laser Spectrometry ◽  
O Isotope ◽  
A New Technique ◽  
Better Than

AbstractWe report on the first application of a new technique in ice-core research, based on direct absorption infrared laser spectrometry (LS), for measuring 2H, 17Oand 18O isotope ratios. the data are used to calculate the deuterium excess d (defined as δ2H– 8δ18O) for a section of the Dye-3 (south Greenland) deep ice core around the Bølling transition (14 500 BP). the precision of LS is slightly better than that of most traditional methods for deuterium, but not for the oxygen isotopes. the ability to measure δ17O is new and is used here to improve the precision of the δ18O determination. Still, the final precision for δ18O remains inferior to traditional isotope ratio mass spectrometry (IRMS). Therefore, deuterium excess was calculated from a combination of the LS and IRMS isotope determinations.

scholarly journals Validation of the DLW method in Japanese quail at different water fluxes using laser and IRMS

2002 ◽  
Vol 93 (6) ◽  
pp. 2147-2154 ◽  
Author(s):  
R. Van Trigt ◽  
E. R. T. Kerstel ◽  
R. E. M. Neubert ◽  
H. A. J. Meijer ◽  
M. McLean ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Japanese Quail ◽  
Isotope Ratio ◽  
Isotope Ratio Mass Spectrometry ◽  
Theory And Practice ◽  
Doubly Labelled Water ◽  
Evaporative Water ◽  
Laser Spectrometry ◽  
Water Efflux ◽  
Best Fit

In Japanese quail ( Coturnix c. japonica; n = 9), the doubly labeled water (DLW) method (2H, 18O) for estimation of CO2 production (l/day) was validated. To evaluate its sensitivity to water efflux levels ( r H2 Oe ; g/day) and to assumptions of fractional evaporative water loss ( x; dimensionless), animals were repeatedly fed a dry pellet diet (average r H2 Oe of 34.8 g/day) or a wet mash diet (95.8 g/day). We simultaneously compared the novel infrared laser spectrometry (LS) with isotope ratio mass spectrometry. At low r H2 Oe , calculated CO2 production rate exhibited little sensitivity to assumptions concerning x, with the best fit being found at 0.51, and only little error was made employing an x value of 0.25. In contrast, at high r H2 Oe , sensitivities were much higher with the best fit at x = 0.32. Conclusions derived from isotope ratio mass spectrometry and LS were similar, proving the usefulness of LS. Within a threefold range of r H2 Oe , little error in the DLW method is made when assuming one single x value of 0.25 (recommended by Speakman JR, Doubly Labelled Water. Theory and Practice. London: Chapman & Hall, 1997), indicating its robustness in comparative studies.

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