Stability and composition of different soluble soil organic matter fractions–evidence from δ13C and FTIR signatures

Ellerbrock, Ruth H.; Kaiser, Michael

doi:10.1016/j.geoderma.2004.12.025

Cited by 85 publications

(58 citation statements)

References 31 publications

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“…32 internal scans with four replicates of the subsamples were recorded with a DRIFT device of the BioRad FTS 135 (BioRad Corp, Hercules, CA) in a range of wavenumber from 4 000 to 400 cm -1 each spectra and corrected against ambient air as background (McDowell et al, 2012). The DRIFT spectra were recorded with a resolution of 4 cm -1 and 16 scans (16 repetitions of single spectra) (Ellerbrock and Kaiser, 2005). The spectra were smoothed with a boxcar function, which is unity within the interval and zero outside it and baseline-corrected using the software Win-IR Pro 3.4 (Digilab, Holliston, MA).…”

Section: Methodsmentioning

confidence: 99%

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Voelkner¹,

Holthusen²,

Ellerbrock³

et al. 2015

International Agrophysics

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Anaerobic digestates are used as organic fertilizers; however, they are suspected to interfere negatively with soils. To investigate the relevance of the anaerobic digestates composition on potential wettability and contact angle of the soil, we mixed in a laboratory experiment 30 m³ ha-1 of anaerobic digestates derived from mechanically pre-treated substrates from maize and sugar beet with a homogenized Cambic Luvisol. Fourier transform infrared-spectra and diffuse reflectance infrared Fourier transform-spectra of particle intact and finely ground soilanaerobic digestates-mixtures were analyzed to determine the quantities of hydrophobic functional groups in the soil-anaerobic digestates-mixtures that are used here as an indicator for the potential hydrophobicity. The anaerobic digestates application increased the amount of hydrophobic functional groups of the mixtures and reduced the wettability of the soil. However, for intact particle samples an up to threefold higher amount of hydrophobic groups was found as compared to the finely ground ones, indicating a dilution effect of mechanical grinding on the effectivity of the organic matter that is presumably located as a coating on mineral soil particles. For the particle intact samples, the intensity of hydrophobic functional groups bands denoting hydrophobic brickstones in organic matter is indicative for the actual wettability of the soil-anaerobic digestates-mixtures.

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Section: Methodsmentioning

confidence: 99%

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Voelkner¹,

Holthusen²,

Ellerbrock³

et al. 2015

International Agrophysics

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“…In Table 9 the key wavelength ranges identified within the MWIR-LWIR regions when using the sensitivity analyses are assigned. To compare the results, Table 10 shows band assignments of identified wavenumbers compiled from [46,[53][54][55][56][57][58].…”

Section: Demonstrating the Benefit Of Scenario 3 When The Whole Opticmentioning

confidence: 99%

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

et al. 2017

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Abstract:The study tested a data mining engine (PARACUDA ® ) to predict various soil attributes (BC, CEC, BS, pH, C org , Pb, Hg, As, Zn and Cu) using reflectance data acquired for both optical and thermal infrared regions. The engine was designed to utilize large data in parallel and automatic processing to build and process hundreds of diverse models in a unified manner while avoiding bias and deviations caused by the operator(s). The system is able to systematically assess the effect of diverse preprocessing techniques; additionally, it analyses other parameters, such as different spectral resolutions and spectral coverages that affect soil properties. Accordingly, the system was used to extract models across both optical and thermal infrared spectral regions, which holds significant chromophores. In total, 2880 models were evaluated where each model was generated with a different preprocessing scheme of the input spectral data. The models were assessed using statistical parameters such as coefficient of determination (R 2 ), square error of prediction (SEP), relative percentage difference (RPD) and by physical explanation (spectral assignments). It was found that the smoothing procedure is the most beneficial preprocessing stage, especially when combined with spectral derivation (1st or 2nd derivatives). Automatically and without the need of an operator, the data mining engine enabled the best prediction models to be found from all the combinations tested. Furthermore, the data mining approach used in this study and its processing scheme proved to be efficient tools for getting a better understanding of the geochemical properties of the samples studied (e.g., mineral associations).

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“…Artz, et al (2006) used the 1600/1030 bands ratio (carboxylate/polysaccharide) as an index of decomposition in peat, suggesting that the band near 1630 cm -1 represents a relatively recalcitrant form of organic C, probably a combination of lignin and humic substances. Other authors (Ellerbrock, et al, 2005(Ellerbrock, et al, , 2009Matějková and Šimon, 2012) proposed measuring the ratio of absorption bands related to relatively hydrophobic (3000-2800 cm -1 ) and hydrophilic (1740-1698 and 1640-1600 cm -1 ) SOM functional groups. The hydrophobic/hydrophilic functional groups ratio was used to predict the wettability or hydrophobicity of soils (Ellerbrock, et al, 2005).…”

Section: Soil Organic Matter Characterizationmentioning

confidence: 99%

“…Other authors (Ellerbrock, et al, 2005(Ellerbrock, et al, , 2009Matějková and Šimon, 2012) proposed measuring the ratio of absorption bands related to relatively hydrophobic (3000-2800 cm -1 ) and hydrophilic (1740-1698 and 1640-1600 cm -1 ) SOM functional groups. The hydrophobic/hydrophilic functional groups ratio was used to predict the wettability or hydrophobicity of soils (Ellerbrock, et al, 2005). Grube, et al (2006), used some band intensity ratios (2925/1034 cm -1 , 1384/2925 and 1034/1384) to follow SOM changes in composts over a short term (40 days).…”

Section: Soil Organic Matter Characterizationmentioning

confidence: 99%

Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review

Tinti¹,

Tugnoli²,

Bonora³

et al. 2015

JCEA

173

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The present review highlights the recent applications of mid-infrared spectroscopy and in particular of diffuse reflectance spectroscopy (DRIFT) and attenuated total reflectance (ATR) and processing methods (e.g., deconvolution, derivative and chemometrics) to rapidly provide valuable information on soil composition and organic geochemistry. Research has demonstrated that both DRIFT and ATR techniques can be considered useful tools for the analysis of a large number of soil samples, giving not only typical spectral patterns but permitting an accurate prediction of quantitative parameters such as, e.g., total carbon, total nitrogen, C/N ratio, lignin, dissolved OC, carbonyl-C, aromatic-C, O-alkyl-C, and alkyl-C contents. Based on literature results, infrared spectroscopy can be recognized as one of the most promising analytical techniques for investigating soil science.

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Stability and composition of different soluble soil organic matter fractions–evidence from δ13C and FTIR signatures

Cited by 85 publications

References 31 publications

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review

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