001     153893
005     20210129213813.0
024 7 _ |a 10.1016/j.geoderma.2014.05.006
|2 doi
024 7 _ |a 1872-6259
|2 ISSN
024 7 _ |a 0016-7061
|2 ISSN
024 7 _ |a WOS:000340315700013
|2 WOS
037 _ _ |a FZJ-2014-03364
082 _ _ |a 550
100 1 _ |a Liu, Shurong
|0 P:(DE-Juel1)156153
|b 0
|e Corresponding Author
|u fzj
245 _ _ |a A highly sensitive method for the determination of hydroxylamine in soils
260 _ _ |a Amsterdam [u.a.]
|c 2014
|b Elsevier Science
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1401859411_21133
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
520 _ _ |a Hydroxylamine (HA) is a crucial intermediate in the first step of nitrification, i.e., the oxidation of ammonium to nitrite. Due to its reactivity, HA may play a key role in soil N2O emission. To determine soil HA concentrations and to explore the correlation between soil HA concentrations and N2O emission rates, we developed a novel, extremely sensitive method based on fast extraction of HA from the soil at pH 1.7, oxidation of HA to N2O with Fe3 + and analysis of the N2O with gas chromatography (GC). The new method was tested on soil samples from a temperate Norway spruce forest, comparing soil HA concentrations with N2O emission rates determined with microincubations of the soil samples in GC vials. Our results demonstrate that the new GC method is extremely sensitive, being able to detect soil HA contents as low as 0.3 μg N kg− 1 dry soil. HA content in the forest soil samples ranged between 0.3 and 34.8 μg N kg− 1 dry soil. Moreover, N2O emission rates were significantly correlated with soil HA content (r2 = 0.80), suggesting a key role of HA in N2O formation under aerobic conditions.
536 _ _ |a 246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)
|0 G:(DE-HGF)POF2-246
|c POF2-246
|f POF II
|x 0
536 _ _ |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|0 G:(DE-HGF)POF3-255
|c POF3-255
|f POF III
|x 1
588 _ _ |a Dataset connected to CrossRef, juser.fz-juelich.de
700 1 _ |a Vereecken, Harry
|0 P:(DE-Juel1)129549
|b 1
|u fzj
700 1 _ |a Brüggemann, Nicolas
|0 P:(DE-Juel1)142357
|b 2
|u fzj
773 _ _ |a 10.1016/j.geoderma.2014.05.006
|g Vol. 232-234, p. 117 - 122
|0 PERI:(DE-600)2001729-7
|p 117 - 122
|t Geoderma
|v 232-234
|y 2014
|x 0016-7061
856 4 _ |u https://juser.fz-juelich.de/record/153893/files/FZJ-2014-03364.pdf
|z Published final document.
|y Restricted
909 C O |o oai:juser.fz-juelich.de:153893
|p VDB
|p VDB:Earth_Environment
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156153
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)129549
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)142357
913 2 _ |a DE-HGF
|b Marine, Küsten- und Polare Systeme
|l Terrestrische Umwelt
|1 G:(DE-HGF)POF3-250
|0 G:(DE-HGF)POF3-255
|2 G:(DE-HGF)POF3-200
|v Terrestrial Systems: From Observation to Prediction
|x 0
913 1 _ |a DE-HGF
|b Erde und Umwelt
|l Terrestrische Umwelt
|1 G:(DE-HGF)POF2-240
|0 G:(DE-HGF)POF2-246
|2 G:(DE-HGF)POF2-200
|v Modelling and Monitoring Terrestrial Systems: Methods and Technologies
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF2
913 1 _ |a DE-HGF
|l Terrestrische Umwelt
|1 G:(DE-HGF)POF3-250
|0 G:(DE-HGF)POF3-255
|2 G:(DE-HGF)POF3-200
|v Terrestrial Systems: From Observation to Prediction
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
914 1 _ |y 2014
915 _ _ |a JCR/ISI refereed
|0 StatID:(DE-HGF)0010
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21