{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T22:45:37Z","timestamp":1772232337087,"version":"3.50.1"},"reference-count":20,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,10,3]],"date-time":"2016-10-03T00:00:00Z","timestamp":1475452800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Trace gases such as nitrous oxide (N2O), methane (CH4), and carbon dioxide (CO2) are climate-related gases, and their emissions from agricultural livestock barns are not negligible. Conventional measurement systems in the field (Fourier transform infrared spectroscopy (FTIR); photoacoustic system (PAS)) are not sufficiently sensitive to N2O. Laser-based measurement systems are highly accurate, but they are very expensive to purchase and maintain. One  cost-effective alternative is gas chromatography (GC) with electron capture detection (ECD), but this is not suitable for field applications due to radiation. Measuring samples collected automatically under field conditions in the laboratory at a subsequent time presents many challenges. This study presents a sampling designed to promote laboratory analysis of N2O concentrations sampled under field conditions. Analyses were carried out using PAS in the field (online system) and GC in the laboratory (offline system). Both measurement systems showed a good correlation for CH4 and CO2 concentrations. Measured N2O concentrations were near the detection limit for PAS. GC achieved more reliable results for N2O in very low concentration ranges.<\/jats:p>","DOI":"10.3390\/s16101638","type":"journal-article","created":{"date-parts":[[2016,10,3]],"date-time":"2016-10-03T10:17:01Z","timestamp":1475489821000},"page":"1638","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Methodological Comparison between a Novel Automatic Sampling System for Gas Chromatography versus Photoacoustic Spectroscopy for Measuring Greenhouse Gas Emissions under Field Conditions"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7375-5453","authenticated-orcid":false,"given":"Alexander","family":"Schmithausen","sequence":"first","affiliation":[{"name":"Institute of Agricultural Engineering, University of Bonn, 53115 Bonn, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4040-2082","authenticated-orcid":false,"given":"Manfred","family":"Trimborn","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Engineering, University of Bonn, 53115 Bonn, Germany"},{"name":"Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7212-7639","authenticated-orcid":false,"given":"Wolfgang","family":"B\u00fcscher","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Engineering, University of Bonn, 53115 Bonn, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,3]]},"reference":[{"key":"ref_1","unstructured":"FAO (Food and Agriculture Organization) Livestock\u2019s Long Shadow\u2014Environmental Issues and Options. 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