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Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling
RATIONALE: Measurement of greenhouse gas (GHG) concentrations and isotopic compositions in the atmosphere is a valuable tool for predicting their sources and sinks, and ultimately how they affect Earth's climate. Easy access to unmanned aerial vehicles (UAVs) has opened up new opportunities for...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540016/ https://www.ncbi.nlm.nih.gov/pubmed/32830873 http://dx.doi.org/10.1002/rcm.8929 |
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author | Leitner, Simon Hood‐Nowotny, Rebecca Watzinger, Andrea |
author_facet | Leitner, Simon Hood‐Nowotny, Rebecca Watzinger, Andrea |
author_sort | Leitner, Simon |
collection | PubMed |
description | RATIONALE: Measurement of greenhouse gas (GHG) concentrations and isotopic compositions in the atmosphere is a valuable tool for predicting their sources and sinks, and ultimately how they affect Earth's climate. Easy access to unmanned aerial vehicles (UAVs) has opened up new opportunities for remote gas sampling and provides logistical and economic opportunities to improve GHG measurements. METHODS: This study presents synchronized gas chromatography/isotope ratio mass spectrometry (GC/IRMS) methods for the analysis of atmospheric gas samples (20‐mL glass vessels) to determine the stable isotope ratios and concentrations of CO(2), CH(4) and N(2)O. To our knowledge there is no comprehensive GC/IRMS setup for successive measurement of CO(2), CH(4) and N(2)O analysis meshed with a UAV‐based sampling system. The systems were built using off‐the‐shelf instruments augmented with minor modifications. RESULTS: The precision of working gas standards achieved for δ(13)C and δ(18)O values of CO(2) was 0.2‰ and 0.3‰, respectively. The mid‐term precision for δ(13)C and δ(15)N values of CH(4) and N(2)O working gas standards was 0.4‰ and 0.3‰, respectively. Injection quantities of working gas standards indicated a relative standard deviation of 1%, 5% and 5% for CO(2), CH(4) and N(2)O, respectively. Measurements of atmospheric air samples demonstrated a standard deviation of 0.3‰ and 0.4‰ for the δ(13)C and δ(18)O values, respectively, of CO(2), 0.5‰ for the δ(13)C value of CH(4) and 0.3‰ for the δ(15)N value of N(2)O. CONCLUSIONS: Results from internal calibration and field sample analysis, as well as comparisons with similar measurement techniques, suggest that the method is applicable for the stable isotope analysis of these three important GHGs. In contrast to previously reported findings, the presented method enables successive analysis of all three GHGs from a single ambient atmospheric gas sample. |
format | Online Article Text |
id | pubmed-7540016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75400162020-10-09 Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling Leitner, Simon Hood‐Nowotny, Rebecca Watzinger, Andrea Rapid Commun Mass Spectrom Research Articles RATIONALE: Measurement of greenhouse gas (GHG) concentrations and isotopic compositions in the atmosphere is a valuable tool for predicting their sources and sinks, and ultimately how they affect Earth's climate. Easy access to unmanned aerial vehicles (UAVs) has opened up new opportunities for remote gas sampling and provides logistical and economic opportunities to improve GHG measurements. METHODS: This study presents synchronized gas chromatography/isotope ratio mass spectrometry (GC/IRMS) methods for the analysis of atmospheric gas samples (20‐mL glass vessels) to determine the stable isotope ratios and concentrations of CO(2), CH(4) and N(2)O. To our knowledge there is no comprehensive GC/IRMS setup for successive measurement of CO(2), CH(4) and N(2)O analysis meshed with a UAV‐based sampling system. The systems were built using off‐the‐shelf instruments augmented with minor modifications. RESULTS: The precision of working gas standards achieved for δ(13)C and δ(18)O values of CO(2) was 0.2‰ and 0.3‰, respectively. The mid‐term precision for δ(13)C and δ(15)N values of CH(4) and N(2)O working gas standards was 0.4‰ and 0.3‰, respectively. Injection quantities of working gas standards indicated a relative standard deviation of 1%, 5% and 5% for CO(2), CH(4) and N(2)O, respectively. Measurements of atmospheric air samples demonstrated a standard deviation of 0.3‰ and 0.4‰ for the δ(13)C and δ(18)O values, respectively, of CO(2), 0.5‰ for the δ(13)C value of CH(4) and 0.3‰ for the δ(15)N value of N(2)O. CONCLUSIONS: Results from internal calibration and field sample analysis, as well as comparisons with similar measurement techniques, suggest that the method is applicable for the stable isotope analysis of these three important GHGs. In contrast to previously reported findings, the presented method enables successive analysis of all three GHGs from a single ambient atmospheric gas sample. John Wiley and Sons Inc. 2020-09-23 2020-12-30 /pmc/articles/PMC7540016/ /pubmed/32830873 http://dx.doi.org/10.1002/rcm.8929 Text en © 2020 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Leitner, Simon Hood‐Nowotny, Rebecca Watzinger, Andrea Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling |
title | Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling |
title_full | Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling |
title_fullStr | Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling |
title_full_unstemmed | Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling |
title_short | Successive and automated stable isotope analysis of CO(2), CH(4) and N(2)O paving the way for unmanned aerial vehicle‐based sampling |
title_sort | successive and automated stable isotope analysis of co(2), ch(4) and n(2)o paving the way for unmanned aerial vehicle‐based sampling |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540016/ https://www.ncbi.nlm.nih.gov/pubmed/32830873 http://dx.doi.org/10.1002/rcm.8929 |
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