An Automated Laboratory Method for Measuring CO2 Emissions from Soils

A gas chromatography (GC) headspace method was developed for soil microbial respiration (CO emission) analysis after a 24-h incubation of a rewetted soil. The GC method was compared with the Solvita CO burst method by analyzing 18 different soils that were air-dried (22°C) or dried at 45, 65, and 10...

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Main Authors: Eric B. McGowen, Sumit Sharma, Shiping Deng, Hailin Zhang, Jason G. Warren
Format: Article
Language:English
Published: Wiley 2018-04-01
Series:Agricultural & Environmental Letters
Online Access:https://dl.sciencesocieties.org/publications/ael/articles/3/1/180008
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author Eric B. McGowen
Sumit Sharma
Shiping Deng
Hailin Zhang
Jason G. Warren
author_facet Eric B. McGowen
Sumit Sharma
Shiping Deng
Hailin Zhang
Jason G. Warren
author_sort Eric B. McGowen
collection DOAJ
description A gas chromatography (GC) headspace method was developed for soil microbial respiration (CO emission) analysis after a 24-h incubation of a rewetted soil. The GC method was compared with the Solvita CO burst method by analyzing 18 different soils that were air-dried (22°C) or dried at 45, 65, and 105°C for 24 h before rewetting. A strong exponential relationship between the Solvita color number and GC headspace CO–C emission was observed. Compared with air-dried soils, drying at 65°C led to increased CO emission and reduced variation among sample replicates, while drying at 105°C led to a reduction in CO emission and an increase in variability. The GC method does not require sample dilution, provides data that is highly correlated to the Solvita method, and has a wider dynamic test range than the Solvita method. The developed GC method could be adapted to automation for commercial laboratory use.
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spelling doaj.art-0ea68782a54b4cf68db8f062d906c1662022-12-22T01:26:41ZengWileyAgricultural & Environmental Letters2471-96252018-04-013110.2134/ael2018.02.0008An Automated Laboratory Method for Measuring CO2 Emissions from SoilsEric B. McGowenSumit SharmaShiping DengHailin ZhangJason G. WarrenA gas chromatography (GC) headspace method was developed for soil microbial respiration (CO emission) analysis after a 24-h incubation of a rewetted soil. The GC method was compared with the Solvita CO burst method by analyzing 18 different soils that were air-dried (22°C) or dried at 45, 65, and 105°C for 24 h before rewetting. A strong exponential relationship between the Solvita color number and GC headspace CO–C emission was observed. Compared with air-dried soils, drying at 65°C led to increased CO emission and reduced variation among sample replicates, while drying at 105°C led to a reduction in CO emission and an increase in variability. The GC method does not require sample dilution, provides data that is highly correlated to the Solvita method, and has a wider dynamic test range than the Solvita method. The developed GC method could be adapted to automation for commercial laboratory use.https://dl.sciencesocieties.org/publications/ael/articles/3/1/180008
spellingShingle Eric B. McGowen
Sumit Sharma
Shiping Deng
Hailin Zhang
Jason G. Warren
An Automated Laboratory Method for Measuring CO2 Emissions from Soils
Agricultural & Environmental Letters
title An Automated Laboratory Method for Measuring CO2 Emissions from Soils
title_full An Automated Laboratory Method for Measuring CO2 Emissions from Soils
title_fullStr An Automated Laboratory Method for Measuring CO2 Emissions from Soils
title_full_unstemmed An Automated Laboratory Method for Measuring CO2 Emissions from Soils
title_short An Automated Laboratory Method for Measuring CO2 Emissions from Soils
title_sort automated laboratory method for measuring co2 emissions from soils
url https://dl.sciencesocieties.org/publications/ael/articles/3/1/180008
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