Mid-Infrared Spectroscopy Supports Identification of the Origin of Organic Matter in Soils

Dudek, Michał; Kabała, Cezary; Łabaz, Beata; Mituła, Paweł; Bednik, Magdalena; Medyńska‐Juraszek, Agnieszka

doi:10.3390/land10020215

Cited by 11 publications

(13 citation statements)

References 46 publications

(73 reference statements)

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“…Thus, in concordance with the previous findings for chernozem soils [27,52], ATR-FTIR provides the best resolution for primary structural modes of the SiO 2 lattice vibrations in the 1150-100 cm −1 region, showing no absorption saturation at the ATR-FTIR penetration depth, while DRIFT and especially FTIR-PAS measurements (in the region 1110-800 cm −1 ) experience a severe change in relative peak heights due to the saturation effects [52]. However, ATR-FTIR provides mediocre sensitivity towards the medium and minor bands attributed to carbon-oxygen bonds.…”

Section: Atr-ftirsupporting

confidence: 93%

“…The bands at 1163-1153 cm −1 , SiO 2 lattice [106], 1037 cm −1 , Si-O asymmetrical stretch Al-O stretch [47], and 796 cm −1 , lattice symmetrical Si-O-Si stretch [106,114], are revealed by ATR-FTIR and DRIFT but are not fully resolved in FTIR-PAS. In many cases, each band can have contributions from SOM and inorganic constituents [27,28]; a comparison of DRIFT or FTIR-PAS with ATR-FTIR could provide additional information from the spectral set. High absorption of quartz in the 1110-600 cm −1 region, with the saturation effects for DRIFT and FTIR-PAS in the 1110-900 cm −1 region, result in much higher intensities of DRIFT/FTIR-PAS overtone bands.…”

Section: Common Features Of Ir Spectra In Different Modalitiesmentioning

confidence: 99%

“…The applications of IR spectroscopy for soils are widespread and primarily oriented to humic substances [20][21][22][23][24][25], the total SOM or soil organic carbon [26,27], the texture and mineralogy of clay minerals and their organomineral complexes [28,29], or the availability of artificial additions such as nutrients or fertilizers [30,31]. In addition, IR spectroscopy is used to evaluate fertility, structuration, or biological activity of soils, as well as organomineral complexes, taking IR spectra as indicators of these properties [26][27][28][29]32]. Soil identification by its IR spectra has been developed [31,[33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

“…In this region, possible contributions of different constituents are almost impossible to distinguish using data treatment and sample treatment. Here, FTIR spectroscopy alone cannot give the whole answer, and other techniques are very expedient [27,32]. Apart from internal standards, this requires a reference method for SOM (NMR or optical spectroscopy, or their use along with FTIR using 2D-COS techniques [140][141][142][143][144]), for the exact values of absorption coefficients for these bands that can seriously facilitate quantitative analysis.…”

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confidence: 99%

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Organic Matter and Mineral Composition of Silicate Soils: FTIR Comparison Study by Photoacoustic, Diffuse Reflectance, and Attenuated Total Reflection Modalities

2021

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This study aims to compare photoacoustic (FTIR–PAS), diffuse reflectance (DRIFT), and attenuated total reflection (ATR) FTIR modalities in the wide wavenumber range from NIR (7500 cm−1) to FIR (150 cm−1) for the same silicate soil samples under the same conditions. The possibilities of non-destructive rapid qualitative analysis of soils by these modalities without comprehensive data treatment were compared. The assignment of more than 100 bands for the chernozem and sod-podzolic as common types of silicate types of soil was made. The following groups of bands of organic matter and inorganic matrix were reliably found in spectra of all or at least two modalities: 3690–3680 cm−1 (hydrogen-bonded SiO–H…H2O stretch, not ATR), 2930–2910 cm−1 and 2860–2850 cm−1 (methylene stretch), 1390–1380 cm−1, (symmetric stretch carboxylate, DRIFT and FTIR–PAS); 2000–1990 cm−1, 1885 cm−1, and 1790–1783 cm−1 (SiO2 overtones, DRIFT and FTIR–PAS), 1163–1153 cm−1, SiO2 lattice (not FTIR–PAS), 1037 cm−1 (Si–O or Al–O stretch), 796 cm−1 (lattice symmetrical Si–O–Si stretch); 697 cm−1, SiO2; and 256 cm−1 (not FTIR–PAS). Amide I, II, and III bands appear in DRIFT and FTIR–PAS spectra while not in ATR. Except for methylene and carboxylate groups, CH vibrations (3100–2900 cm−1) are not seen in ATR. Bands at 1640–1630 cm−1, 1620–1610 cm−1, 1600–1598 cm−1 (primary water bands and probably carboxylate) appear in the spectra of all three modalities but are unresolved and require data treatment. It is preferable to use all three modalities to characterize both soil organic matter and mineral composition. DRIFT provides the maximum number of bands in all three modalities and should be selected as a primary technique in the NIR and 4000–2000 cm−1 regions for hydrogen-bonding bands, CHX groups, and the silicate matrix. ATR–FTIR complements DRIFT and provides a good sensitivity for soil water and the matrix in 2000–400 cm−1. FTIR–PAS in 4000–1500 cm−1 reveals more bands than DRIFT and shows the highest sensitivity for absorption bands that do not appear in DRIFT or ATR-IR spectra. Thus, FTIR–PAS is expedient for supporting either DRIFT or ATR–FTIR. This modality comparison can be a basis for methodological support of IR spectroscopy of soils and similar organomineral complexes.

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Section: Atr-ftirsupporting

confidence: 93%

Section: Common Features Of Ir Spectra In Different Modalitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Organic Matter and Mineral Composition of Silicate Soils: FTIR Comparison Study by Photoacoustic, Diffuse Reflectance, and Attenuated Total Reflection Modalities

2021

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“…The performance of PLS models is reported in terms of root mean square error (RMSE), coefficient of determination for calibration (R 2 ), slope of regression model and the ratio of prediction to deviation (RPD). on the functional moieties of organic matter (Ramírez et al, 2020;Dudek et al, 2021). Additionally, it is a useful tool to explore spectral patterns associated with soil C stocks (Stumpe et al, 2011).…”

Section: Linking Mir Spectral Information To Soil C Poolmentioning

confidence: 99%

Using Diffuse Reflectance Spectroscopy as a High Throughput Method for Quantifying Soil C and N and Their Distribution in Particulate and Mineral-Associated Organic Matter Fractions

Ramírez

Calderón

Haddix

et al. 2021

Front. Environ. Sci.

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Large-scale quantification of soil organic carbon (C) and nitrogen (N) stocks and their distribution between particulate (POM) and mineral-associated (MAOM) organic matter is deemed necessary to develop land management strategies to mitigate climate change and sustain food production. To this end, diffuse reflectance mid-infrared spectroscopy (MIR) coupled with partial least square (PLS) analysis has been proposed as a promising method because of its low labor and cost, high throughput and the potential to estimate multiple soil attributes. In this paper, we applied MIR spectroscopy to predict C and N content in bulk soils, and in POM and MAOM, as well as soil properties influencing soil C storage. A heterogeneous dataset including 349 topsoil samples were collected under different soil types, land use and climate conditions across the European Union and the United Kingdom. The samples were analyzed for various soil properties to determine the feasibility of developing MIR-based predictive calibrations. We obtained accurate predictions for total soil C and N content, MAOM C and N content, pH, clay, and sand (R2> 0.7; RPD>1.8). In contrast, POM C and N content were predicted with lower accuracies due to non-linear dependencies, suggesting the need for additional calibration across similar soils. Furthermore, the information provided by MIR spectroscopy was able to differentiate spectral bands and patterns across different C pools. The strength of the correlation between C pools, minerals, and C functional groups was land use-dependent, suggesting that the use of this approach for long-term soil C monitoring programs should use land-use specific calibrations.

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Fire History and Long-Term Carbon Accumulation in Hemi-boreal Peatlands

et al. 2023

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Mid-Infrared Spectroscopy Supports Identification of the Origin of Organic Matter in Soils

Cited by 11 publications

References 46 publications

Organic Matter and Mineral Composition of Silicate Soils: FTIR Comparison Study by Photoacoustic, Diffuse Reflectance, and Attenuated Total Reflection Modalities

Organic Matter and Mineral Composition of Silicate Soils: FTIR Comparison Study by Photoacoustic, Diffuse Reflectance, and Attenuated Total Reflection Modalities

Using Diffuse Reflectance Spectroscopy as a High Throughput Method for Quantifying Soil C and N and Their Distribution in Particulate and Mineral-Associated Organic Matter Fractions

Fire History and Long-Term Carbon Accumulation in Hemi-boreal Peatlands

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