Literature DB >> 28072488

The influence of memory, sample size effects, and filter paper material on online laser-based plant and soil water isotope measurements.

Jiangpeng Cui1,2, Lide Tian1,3, Cynthia Gerlein-Safdi4, Dongmei Qu1.   

Abstract

RATIONALE: The recent development of isotope ratio infrared spectroscopy (IRIS) was quickly followed by the addition of online extraction and analysis systems, making it faster and easier to measure soil and plant water isotopes. However, memory and sample size effects limit the efficiency and accuracy of these new setups. In response, this study presents a scheme dedicated to estimating and eliminating these two effects.
METHODS: Memory effect was determined by injecting two standard waters alternately. Each standard was injected nine times in a row and analyzed using induction module cavity ring-down spectroscopy (IM-CRDS). Memory coefficients were calculated using a new "multistage jump" algorithm. Sample size effects were evaluated by injecting water volumes ranging from 1 μL to 6 μL. Finally, the influence of cellulose filter paper on the isotopic measurements, the memory, and the sample size effect was evaluated by comparing it with glass filter paper.
RESULTS: Memory effects were detected for both δ18 O and δ2 H values, with the latter being stronger. Isotopic differences between replicates of the same plant or soil sample showed a clear decrease after memory correction. A small water volume effect was found only when the injected water volume was larger than 3 μL. However, while the correction method performed well for laboratory-made samples, it did not for field samples, due to the heterogeneity of the isotopic composition of the samples. Stronger memory and water volume effects were found for cellulose filter paper.
CONCLUSIONS: The memory coefficients and the water volume-isotope relationship improved the consistency and accuracy of both laboratory and field data. Our results indicate that cellulose filter paper may not be a suitable medium to measure standard waters and evaluate memory and water volume effects. Finally, a detailed correction and calibration protocol is suggested, along with notes on best practices to obtain good-quality IM-CRDS data.
Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Year:  2017        PMID: 28072488     DOI: 10.1002/rcm.7824

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  3 in total

1.  Dew-induced transpiration suppression impacts the water and isotope balances of Colocasia leaves.

Authors:  Cynthia Gerlein-Safdi; Paul P G Gauthier; Kelly K Caylor
Journal:  Oecologia       Date:  2018-06-28       Impact factor: 3.225

2.  Branch water uptake and redistribution in two conifers at the alpine treeline.

Authors:  Adriano Losso; Andreas Bär; Lucrezia Unterholzner; Michael Bahn; Stefan Mayr
Journal:  Sci Rep       Date:  2021-11-19       Impact factor: 4.379

3.  Triple isotope variations of monthly tap water in China.

Authors:  Chao Tian; Lixin Wang; Wenzhe Jiao; Fadong Li; Fuqiang Tian; Sihan Zhao
Journal:  Sci Data       Date:  2020-10-12       Impact factor: 6.444

  3 in total

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