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000017682 0247_ $$2DOI$$a10.1111/j.1365-2389.2011.01401.x
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000017682 041__ $$aENG
000017682 082__ $$a630
000017682 084__ $$2WoS$$aSoil Science
000017682 1001_ $$0P:(DE-HGF)0$$aStumpe, B.$$b0
000017682 245__ $$aSample preparation and selection for qualitative and quantitative analyses with mid-infrared reflectance spectroscopy
000017682 260__ $$aOxford [u.a.]$$bWiley-Blackwell$$c2011
000017682 300__ $$a849 - 862
000017682 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000017682 440_0 $$01973$$aEuropean Journal of Soil Science$$v62$$x1351-0754$$y6
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000017682 520__ $$aMid-infrared spectroscopy (MIRS) is a well-established analytical tool for qualitative and quantitative analysis of soil samples. However, effects of soil sample grinding procedures on the prediction accuracy of MIR models and on qualitative spectral information have not been well investigated and, in consequence, not standardized up to now. Further, the effects of soil sample selection on the accuracy of MIR prediction models has not been quantified yet. This study investigated these effects by using 180 well-characterized soil samples that were ground for different times (0, 2 or 4 minutes) and then used for MIR measurements. To study the impact of sample preparation, soil spectra were subjected to principal component analyses (PCA), multiple regression and partial least square (PLS) analysis. The results indicate that the prediction accuracy of MIR models for soil organic carbon (SOC) and pH and the qualitative spectral information were better overall for lightly ground (2 minutes) soil samples compared with intensively (4 minutes) or unground soil samples. Whereas the grinding procedure did not show any effect on spectra of clay minerals, spectral information for quartz and for SOC was modified. Even though it is difficult to recommend a global standardized soil sample grinding procedure for MIR measurements because of different mill types available within laboratories, we highly recommend using an internally standardized grinding procedure. Moreover, we show that neither land use nor soil sampling depth influences the prediction of the SOC content. However, sand and clay content substantially affect the score vectors used by the PLS algorithm to predict the SOC content. Thus, we recommend using soil samples similar in texture for more precise SOC calibration models for MIR spectroscopy.
000017682 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000017682 588__ $$aDataset connected to Web of Science, Pubmed
000017682 7001_ $$0P:(DE-Juel1)VDB17057$$aWeihermüller, L.$$b1$$uFZJ
000017682 7001_ $$0P:(DE-HGF)0$$aMarschner, B.$$b2
000017682 773__ $$0PERI:(DE-600)2020243-X$$a10.1111/j.1365-2389.2011.01401.x$$gVol. 62, p. 849 - 862$$p849 - 862$$q62<849 - 862$$tEuropean journal of soil science$$v62$$x1351-0754$$y2011
000017682 8567_ $$uhttp://dx.doi.org/10.1111/j.1365-2389.2011.01401.x
000017682 909CO $$ooai:juser.fz-juelich.de:17682$$pVDB:Earth_Environment$$pVDB
000017682 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000017682 9141_ $$y2011
000017682 9131_ $$0G:(DE-Juel1)FUEK407$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000017682 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
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