title: Spectral analysis software improves confidence in plant and soil water stable isotope analyses performed by isotope ratio infrared spectroscopy (IRIS).
abstract: Previous studies have demonstrated the potential for large errors to occur when analyzing waters containing organic contaminants using isotope ratio infrared spectroscopy (IRIS). In an attempt to address this problem, IRIS manufacturers now provide post-processing spectral analysis software capable of identifying samples with the types of spectral interference that compromises their stable isotope analysis. Here we report two independent tests of this post-processing spectral analysis software on two IRIS systems, OA-ICOS (Los Gatos Research Inc.) and WS-CRDS (Picarro Inc.). Following a similar methodology to a previous study, we cryogenically extracted plant leaf water and soil water and measured the δ(2)H and δ(18)O values of identical samples by isotope ratio mass spectrometry (IRMS) and IRIS. As an additional test, we analyzed plant stem waters and tap waters by IRMS and IRIS in an independent laboratory. For all tests we assumed that the IRMS value represented the "true" value against which we could compare the stable isotope results from the IRIS methods. Samples showing significant deviations from the IRMS value (>2σ) were considered to be contaminated and representative of spectral interference in the IRIS measurement. Over the two studies, 83% of plant species were considered contaminated on OA-ICOS and 58% on WS-CRDS. Post-analysis, spectra were analyzed using the manufacturer's spectral analysis software, in order to see if the software correctly identified contaminated samples. In our tests the software performed well, identifying all the samples with major errors. However, some false negatives indicate that user evaluation and testing of the software are necessary. Repeat sampling of plants showed considerable variation in the discrepancies between IRIS and IRMS. As such, we recommend that spectral analysis of IRIS data must be incorporated into standard post-processing routines. Furthermore, we suggest that the results from spectral analysis be included when reporting stable isotope data from IRIS.
authors.affiliation: Botany Department, University of Cape Town, Rondebosch, 7701, South Africa. adam.west@uct.ac.za
authors.forename: A G
authors.initials: AG
authors.lastname: West
authors.forename: G R
authors.initials: GR
authors.lastname: Goldsmith
authors.forename: I
authors.initials: I
authors.lastname: Matimati
authors.forename: T E
authors.initials: TE
authors.lastname: Dawson
mesh_terms: D003903:Deuterium / Q000032:analysis; D013058:Mass Spectrometry / Q000379:methods*; D010103:Oxygen Isotopes / Q000032:analysis; D018547:Plant Stems / Q000737:chemistry; D010944:Plants / Q000737:chemistry*; D012984:Software; D012987:Soil / Q000032:analysis* / Q000737:chemistry; D013055:Spectrophotometry, Infrared / Q000379:methods*; D014867:Water / Q000032:analysis* / Q000737:chemistry
chemical_list: D010103:Oxygen Isotopes; D012987:Soil; D014867:Water; D003903:Deuterium