SOM underlies many soil functions and processes, but its characterization by FTIR spectroscopy is often challenged by mineral interferences. The described method can increase the utility of SOM analysis by FTIR spectroscopy by subtracting mineral interferences in soil spectra using empirically obtained mineral reference spectra.
Soil organic matter (SOM) underlies numerous soil processes and functions. Fourier transform infrared (FTIR) spectroscopy detects infrared-active organic bonds that constitute the organic component of soils. However, the relatively low organic matter content of soils (commonly < 5% by mass) and absorbance overlap of mineral and organic functional groups in the mid-infrared (MIR) region (4,000-400 cm-1) engenders substantial interference by dominant mineral absorbances, challenging or even preventing interpretation of spectra for SOM characterization. Spectral subtractions, a post-hoc mathematical treatment of spectra, can reduce mineral interference and enhance resolution of spectral regions corresponding to organic functional groups by mathematically removing mineral absorbances. This requires a mineral-enriched reference spectrum, which can be empirically obtained for a given soil sample by removing SOM. The mineral-enriched reference spectrum is subtracted from the original (untreated) spectrum of the soil sample to produce a spectrum representing SOM absorbances. Common SOM removal methods include high-temperature combustion ('ashing') and chemical oxidation. Selection of the SOM removal method carries two considerations: (1) the amount of SOM removed, and (2) absorbance artifacts in the mineral reference spectrum and thus the resulting subtraction spectrum. These potential issues can, and should, be identified and quantified in order to avoid fallacious or biased interpretations of spectra for organic functional group composition of SOM. Following SOM removal, the resulting mineral-enriched sample is used to collect a mineral reference spectrum. Several strategies exist to perform subtractions depending on the experimental goals and sample characteristics, most notably the determination of the subtraction factor. The resulting subtraction spectrum requires careful interpretation based on the aforementioned methodology. For many soil and other environmental samples containing substantial mineral components, subtractions have strong potential to improve FTIR spectroscopic characterization of organic matter composition.
Soil organic matter (SOM) is a minor constituent by mass in most soil samples but is implicated in multiple properties and processes underlying soil functions, such as nutrient cycling and carbon sequestration1. Characterizing the composition of SOM is one of several approaches to link SOM formation and turnover with its role(s) in soil functions2,3. One method of characterizing SOM composition is Fourier transform infrared (FTIR) spectroscopy, which offers detection of functional groups that constitute organic matter in soils and other environmental samples (e.g., carboxyl C-O, aliphatic C-H)4. However, the utility of FTIR spectroscopy for revealing SOM functional group composition is challenged by the dominant mineral component for the majority of soils (typically > 95% mass) due to strong inorganic absorbances that challenge or severely limit detection and interpretation of organic absorbances.
Spectral subtractions offer a way to improve FTIR spectroscopic characterization of organic matter in soil samples. Subtracting mineral absorbances from the soil spectrum can be used to enhance absorbances of organic functional groups of interest in the analysis of SOM composition
(Figure 1).
Advantages of spectral subtractions over standard FTIR spectroscopy (i.e., soil spectra) include:
(i) Improved resolution and interpretation of organic absorbance bands compared to normal soil spectra. Though interpretation of organic bands in soil spectra can be performed by assuming that the relative differences in absorbance are due to differences in organic functional groups, this limits comparisons to samples with the same mineralogy and relatively high SOM content, and may be less sensitive to changes in organic bands, even those considered to be relatively mineral-free (e.g. aliphatic C-H stretch)5
(ii) Analysis of soils beyond high SOM samples or organic matter-enriched extracts or fractions
(iii) Highlighting changes induced by experimental treatments from mesocosm to field scales6
Additional applications of spectral subtractions in FTIR analysis of SOM include complementing structural and molecular characterizations (e.g., NMR spectroscopy, mass spectrometry)5,7, identifying the composition of SOM removed by an extraction or destructive fractionation8, and fingerprinting SOM composition for forensic purposes9. This method is applicable to a wide variety of mineral-organic mixtures beyond soils, including sediment10, peat11, and coal12,13.
The potential of spectral subtractions to improve FTIR spectroscopic characterization of SOM is demonstrated using examples of organic matter removal to obtain mineral reference spectra, and then, using these mineral reference spectra, performing and evaluating ideal and non-ideal spectral subtractions. This demonstration focuses on diffuse reflectance infrared Fourier transform (DRIFT) spectra collected in the mid-infrared region (MIR, 4,000 – 400 cm-1), as this is a widespread approach for the analysis of soil samples4.
The two example methods of SOM removal for obtaining a mineral-enriched reference spectrum are (i) high-temperature combustion ('ashing') and (ii) chemical oxidation, using dilute sodium hypochlorite (NaOCl). It should be noted that these are examples of commonly employed SOM removal methods, rather than prescriptive recommendations. Other methods of SOM removal may offer reduced mineral artifacts and/or enhanced removal rates (e.g., low-temperature ashing)14. High-temperature ashing was one of the first methods used to obtain mineral-enriched reference spectra for performing subtractions, initially for OM-enriched samples derived from soils (e.g., dissolved organic matter, litter)15,16 followed by its application to bulk soil samples17,18. The example chemical oxidation used to remove SOM is based on the method of NaOCl oxidation described by Anderson19. This was originally developed as a pretreatment for removing organic matter in soil samples prior to X-ray diffraction (XRD) analysis, and has been investigated as a potential chemical fractionation sensitive to SOM stabilization20,21. Both high-temperature removal and chemical oxidation using NaOCl can entail soil-specific artifacts and have limitations on spectral interpretation that should be considered when selecting a method of SOM removal14,22.
1. Prepare Soil for Non-treated DRIFT Spectroscopy and SOM Removal
2. SOM Removal by Chemical Oxidation: Example of NaOCl
3. SOM Removal by High-Temperature Combustion
4. DRIFT Spectroscopy
NOTE: For this example, the FTIR spectrometer software listed in the Table of Materials will be used.
The method of SOM removal has practical as well as theoretical implications for the interpretation of subtraction spectra. For example, mineral alterations from high temperature ashing can manifest as losses or appearances of peaks and/or as shifted or broadened peaks in the mineral reference spectrum. These spectral artifacts are prone to occur in regions of overlap with organic bands at 1,600-900 cm-1,22 compromising interpretation of organic bands. Common changes of mineral bands following high temperature ashing (≥ 550 °C) are evident in Figure 2 and include loss of OH peaks at 3,700-3,600 cm-1, and peak losses and shifts in lattice Si-O and Al-O peaks at 1,050-800 cm-1. On the other hand, SOM removal using chemical oxidation tends to preserve mineral functional groups and thus risks fewer artifacts (see Discussion). However, this typically comes at a cost of lower SOM removal28, as evidenced for the example soils (Table 2). This restricts interpretation of organic functional group composition in the subtraction spectrum to less than the total SOM pool.
Chemical oxidations can be an attractive alternative to ashing for furnishing mineral backgrounds because they generally preserve mineral structure and thus avoid artifactual absorbance features in reference spectra and thus the resulting subtraction spectrum14,22. For example, Soil A lost 89% of soil organic carbon (SOC) by NaOCl oxidation compared to 97% by ashing (Table 2) while preserving mineral absorbance features altered by ashing (Figure 2). On the other hand, incomplete and potentially selective removal of SOM means that NaOCl-resistant organic matter will not be characterized5,29,30, requiring careful interpretation of the subtraction spectrum14. Quantifying SOM loss with each additional oxidation treatment performed can be used to identify the optimal number of oxidative treatments for SOM removal. Evaluation of the example oxidation method using NaOCl showed that SOM removal plateaued after 3 oxidation steps regardless of whether SOM content of samples was low (<2% C) or high (36% C). With each successive oxidation step, the color of the supernatant is likely to change from various shades of purple/black/orange to lighter brownish-red until the original greenish-yellow color of bleach (i.e., unreacted dilute NaOCl).
Grinding to reduce and homogenize soil particle size can improve spectral quality by reducing light scattering from large particles and inversion of strongly absorbing components31. Though a maximum particle size of 250-100 µm has been considered optimal to minimize such artifacts32, recent evaluations suggest that grinding beyond 2000 µm does not necessarily improve spectral quality for chemometric predictions33,34. However, more finely ground soil samples can still yield enhanced (sharper) absorbance peaks and exhibit decreased absorbance variability33, which would be expected to benefit spectral subtractions. On the other hand, some studies have found that grinding (e.g., to 200 µm) can induce more heterogeneity in particle size distribution than standard sieving (e.g., 2,000 µm)35,36. The effect of this on spectral quality is likely to depend on experiment objectives (e.g., interpretation of absorbance bands, chemometric prediction of C fractions) and soil properties (e.g., texture, mineralogy)29. It is recommended that effects of grinding size on subtraction spectra be assessed for a given set of soils and objectives. The treated soil sample used for the mineral reference spectrum is likely to have finer particle size than the corresponding untreated soil due to disruption of aggregates by SOM removal.
The use of neat (undiluted) soil samples is widespread in the use of DRIFT spectroscopy due to greater ease of analysis and higher throughput rate. Sample dilution is traditionally performed for high purity samples using infrared-invisible halide salts (e.g., KBr, NaBr, KI). For DRIFT spectroscopic characterization of the organic component of soils, however, halide salt dilution is less advantageous. This is because dilution of samples tends to improve resolution of absorbances for dominant (mineral) components but not necessarily those representing minor (organic) components5,37. Nonetheless, there can be benefits to the dilution of soil samples, which can be empirically evaluated for each sample5.
To illustrate the role of the subtraction factor (SF) in performing spectral subtractions, consider the subtraction spectra obtained for soil A using the spectrum of the NaOCl oxidized soil as the reference (Figure 3). As the SF increases from 0 to 1, the absorbance of bands corresponding to minerals decrease, most notably mineral surface O-H at 3,618 cm-1 and Si-O at 1,880 and 808 cm-1. Concurrently, absorbance increases for bands representing organic functional groups such as aliphatic C-H stretch at 2,920 cm-1 and potentially amide C-N and N-H and/or aromatic C=C at 1,558 cm-1. With increasing scaling of the SF, however, inversions of mineral absorbances such as Si-O at 2100 – 1780 cm-1 emerge. As NaOCl oxidation removed 89% of total SOC in a soil with 2.2% C (Tables 1, 2), and given that SOM is estimated to be 58% C38, a theoretical SF of 0.97 can be calculated. However, non-linearity of absorbance results in over subtraction of mineral features using this SF (Figure 3).
A more practical approach is to operationally determine the SF based on removal of a mineral absorbance feature by 'canceling' or zero-ing out a target peak(s). The quartz-like Si-O features at 2100 – 1780 cm-1 are suitable target mineral absorbances because they arise from fundamental Si-O vibrations that are less susceptible to specular reflection14,37. For example, in Figure 3, zero-ing of quartz Si-O at 2,100- 1,780 cm-1 suggests a SF in the range of 0.7 – 0.8 to be more suitable for reducing the dominant mineral absorbances than the a priori SF of 0.97 calculated from the difference in mass (i.e., SOM removed) between the two soil samples.
Potential pitfalls in selecting a SF include inversion and oversubtraction, both evidenced by 'negative peaks' that resemble an upside-down peak or "W" shape14, or in the case of strong subtraction, a mirror image of the untreated soil spectrum. Inversions may not be possible to avoid altogether since these are common for Si-O at 1,150 – 800 cm-1, but can be minimized. Inversions should be noted as a region non-grata for spectral interpretation22,39 because in these regions absorbance can reflect how the subtraction was performed more so than absorbing components, especially for minor constituents such as OM.
Spectral software accompanying modern FTIR spectrometers can be useful to guide and execute subtractions. The utility of such software lies in real-time and iterative adjustment of SFs while viewing the resulting subtraction spectrum. However, the default SF suggested by spectral software should be regarded with caution because the software criteria may not be appropriate for the experiment goals and samples such as soils (e.g., non-linear absorbance, inversion of mineral features). For example, the particular software used to calculate subtraction spectra in Figure 3 (see the Table of Materials) suggested a SF of 1.45, based on linearization of baseline in the resulting subtraction spectrum40, which misses the objective of zero-ing out Si-O at 2100-1780 cm-1 for interpretation of organic absorbances at 1,800-1,000 cm-1. It is important to note that the SF suggested by software is also influenced by the wavenumber range selected for the subtraction because the software optimizes a subtraction for the defined spectral region. Additional benefits of software include spectral processing transformations (e.g., Kubelka-Munk, power functions) to improve spectral quality (e.g., linear baselines) prior to performing subtractions.
The mineral reference spectrum may contain absorbance features influenced by the method of SOM removal, with consequences for performing and interpreting spectral subtractions. Comparison of differences among untreated and ashed mineral reference spectra (Figure 2) can help identify which of these features may be due to artifacts of SOM removal. In contrast to NaOCl oxidation, ashing produced changes in absorbance bands representing mineral functional groups, notably phyllosilicate surface and interlayer O-H (3,700-3,600 cm-1), Al-OH (915 cm-1), and Si-O (796, 521 cm-1). Quartz-like Si-O bands (2,100 -1,780, 1,159 cm-1) did not exhibit marked changes in absorbance (intensity or wavenumber) for either treatment.
An example of over-subtraction and the risk of unidentified artifacts resulting from the SOM removal method of choice is demonstrated for ashing at 550 °C in Figure 4. Though zero-ing out quartz-like Si-O at 2,100-1,780 cm-1 is achieved with an SF of 0.76, a prominent W-shaped inversion at 1,100-450 cm-1 suggests that interpretation of the subtraction spectrum should be limited to > 1,200 cm-1. As the reference spectrum was obtained by high-temperature ashing, loss of mineral surface OH at 3,700-3,600 cm-1 (see Figure 2) means that these sharp peaks are an artifact that should not be a target to zero out. Attempts to do so will likely compromise other spectral regions. For example, not recognizing the feature at 3700-3600 cm-1 as an artifact could motivate the user to increase in the SF to reduce (SF = 1.24) or attempt to zero out (SF = 1.51) this artifact at the expense of over-subtracting the remaining spectral regions, including organic absorbances at 1800 – 1200 cm-1 (Figure 4).
It is also possible to over-subtract the mineral reference spectrum, such as in an attempt to enhance a specific band without considering effects on other spectral regions (Figure 5). While this may be justified by experimental objectives (see Discussion), the example in Figure 5 of enhancing the aliphatic C-H stretch at 3000 – 2800 cm-1 'at all costs' renders the remaining portion of the spectra uninterpretable, including the region corresponding to the majority of organic functional groups relevant to SOM characterization at 1,800-1,000 cm-1. An indicator of over-subtraction is the deepening inversion of spectral features beyond inversion-prone Si-O bands as the SF increases from 0.81 to 1.35 to 1.72. Conversely, the incomplete removal of these target mineral bands means that the SF is likely insufficient, as evidence for the subtraction performed with an SF of 0.32. A SF of 0.81 ideally zero-outs out the target Si-O features at 2,100-1,780 cm-1 while minimizing inversions.
Comparison of subtraction spectra calculated from reference spectra obtained by high-temperature ashing and chemical oxidation indicate common features enhanced by subtraction at 1,750-1,350 cm-1 ascribable to organic functional groups, but also exhibit differences due to alteration of minerals and potentially the amount of SOM removed (Figure 6). Note that a similar SF was obtained for subtractions using a mineral reference obtained by ashing (SF = 0.76, Figure 4) versus NaOCl oxidation (SF = 0.81, Figure 5). For a given method of SOM removal, differences are visually evident between the subtraction spectra of high and low organic matter soils that are less visible or absent in the untreated soil spectra (Figure 6), corresponding to aliphatic C-H (stretch) at 2916 cm-1, and ketone and amide C=O with possible contributions of conjugated C=C at 1,647 cm-1, amide C-N and N-H at 1,568 cm-1, aliphatic C-H (bend) at 1,427 cm-1, and phenol and/or carboxyl C-O at 1,275 cm-1. It is essential that subtraction spectra be understood as an operational method to assess relative changes in absorbances that may be assigned to organic functional groups with varying certainly depending on sample type and absorbance range (due to potentially overlapping bands)4.
Figure 1. Illustration of spectral subtraction to enhance organic bands using a background spectrum of the same soil following SOM removal by chemical oxidation (NaOCl). DRIFT spectra were collected without KBr dilution of the soil sample. The soil is a Mollic Xerofluvent under agricultural use in the Sacramento Valley of California (22 mg C g-1 soil). Subtraction spectra were calculated with a subtraction factor of 1.0. Please click here to view a larger version of this figure.
Figure 2. Comparison of mineral-enriched background or reference spectra for performing spectral subtractions obtained by different SOM removal methods. Comparisons of treated and untreated soils are shown for a surface horizon (Ap) of a Mollic Xerofluvent formed on mixed alluvium in California, USA (22 mg C g-1). Spectra correspond to the original soil without treatment (top), followed by soils following SOM removal treatments of chemical oxidation (NaOCl) (middle) and high-temperature combustion (550 °C) (bottom). DRIFT spectra were collected on soil samples without KBr dilution. Grey boxes highlight mineral absorbance bands characteristic of soil spectra, centered at 3620 cm-1, 1870 cm-1 and 800 cm-1. Please click here to view a larger version of this figure.
Figure 3. Example of increasing the subtraction factor (SF) at 0.1 intervals from 0.1 (minimal subtraction) to 1.0 (equal subtraction of original soil spectrum and reference spectrum). The SF weights the degree to which the reference spectrum (soil A after heating at 550 °C for 3 h) is subtracted from the original (untreated) soil spectrum (soil A). As the subtraction factor decreases, absorbance bands corresponding to minerals increase (3,618 cm-1, 1,880 cm-1, 808 cm-1), and bands representing organics decrease (2,920 cm-1, 1,558 cm-1, 1,240 cm-1). DRIFT spectra were collected on soil samples without KBr dilution. Please click here to view a larger version of this figure.
Figure 4. Examples of over-subtraction and the risk of unidentified artifacts resulting from the SOM removal method (ashing at 550 °C). Even with zero-ing out quartz-like Si-O at 2,100-1,780 cm-1 (gray box) (SF = 0.76), a prominent W-shaped inversion at 1100 – 450 cm-1 (arrows) suggests interpretation of the subtraction spectrum should be limited to >1200 cm-1. Since the reference spectrum was obtained by high-temperature ashing (550 °C), loss of mineral surface OH at 3,700 – 3600 cm-1 (gray box) (see Figure 2) indicates that this peak is a likely an artifact. Not recognizing the feature at 3,700-3,600 cm-1 as an artifact can mislead the user to increase the SF to reduce (SF = 1.24) or zero out (SF = 1.51) this spectral feature at the expense of oversubtracting the remaining spectral regions, including organic absorbances at 1,800-1,200 cm-1. Additional artifacts from ashing include a feature at 2300 cm-1 (arrow). DRIFT spectra were collected on soil samples without KBr dilution. Please click here to view a larger version of this figure.
Figure 5. Examples of ideal and non-ideal subtraction spectra using a mineral reference obtained by NaOCl oxidation. Insufficient subtraction (low SF = 0.32) means that prominent mineral absorbances (grey boxes) are still present. Increasing the SF to zero out quartz-like SiO at 2,100-1,780 cm-1 (SF = 0.81) strikes a balance among the criteria of removing this mineral absorbance as a proxy for mineral overlap at 1,800-1,000 cm-1, minimizing inversions of Si-O <1,100 cm-1, and maintaining a linear baseline. In an attempt to further enhance the aliphatic C-H-stretch at 3,000-2,800 cm-1, the SF may be increased (to 1.35 or 1.72), but this results in oversubtraction of varying degrees. Spectra were collected on neat (no KBr dilution) samples by DRIFT spectroscopy. Please click here to view a larger version of this figure.
Figure 6. Paired comparison of DRIFT spectra of high (top) and low (bottom) organic matter soils showcasing the potential of spectral subtractions to improve interpretation of organic absorbances compared to the original soil spectra. Differences in absorbances corresponding to mineral (grey box) and organic (dashed line) absorbance bands are evident between high and low SOM soils and/or among the three set of spectra: spectra of the original (untreated) soils, and spectra obtained by subtracting a mineral reference from the untreated soil spectrum, using a mineral-enriched soil for the mineral reference spectrum obtained by thermal combustion ('ashing') or chemical oxidation. Organic absorbances that differ between high and low SOM samples may be ascribed to aliphatic C-H (2,916 cm-1), ketone and/or amide C=O with possible contributions of conjugated C=C (1,647 cm-1), amide C-N and N-H and/or possible aromatic C=C (1,568 cm-1), aliphatic C-H (1,427 cm-1), and carboxyl and/or phenol C-O (1,275 cm-1). Soils are from the Ap horizon of Entisols formed from mixed alluvium in the Sacramento Valley (California, USA). Spectra were collected on neat (no KBr dilution) samples. Please click here to view a larger version of this figure.
Soil | SOM content |
SOC (mg g-1) |
C:N | pH (1:2, water) |
clay (mg g-1) |
sand (mg g-1) |
A | High | 22 | 9.4 | 6.5 | 166 | 133 |
B | Low | 7 | 9.3 | 6.7 | 126 | 451 |
SOC, soil organic carbon; C:N, carbon to nitrogen ratio |
Table 1. Properties of soils used to demonstrate methods for spectral subtraction to improve characterization of SOM using DRIFT spectroscopy. Soils are of similar mineralogy but exhibit differences in organic matter concentration. Soils were sampled from the Ap horizon of Entisols formed on mixed alluvium in the Sacramento Valley of California, USA.
Soil | OM content |
SOC (mg g-1) |
SOC loss (%) | |
NaOCl-ox | ashed (500 °C) |
|||
A | High | 22 | -89.1 | -96.5 |
B | Low | 7 | -82.5 | -97.2 |
SOC, soil organic carbon; NaOCl-ox, sodium hypochlorite oxidized |
Table 2. Example of varying removal rates of SOM by combustion versus chemical oxidation. Soil samples treated to remove organic matter are used to acquire a mineral-enriched reference spectrum for performing spectral subtractions to improve characterization of SOM functional group composition using DRIFT spectroscopy.
The method of removing SOM carries two considerations: 1) the amount of SOM removed, and 2) absorbance artifacts in the resulting mineral reference spectrum. It is fortunately possible— and arguably necessary— to identify and quantity these issues in order to avoid biased interpretations of SOM composition from the resulting subtraction spectrum. Ideally, spectral subtractions would employ a mineral-only reference spectrum to yield a spectrum of 'pure' SOM. In reality, the resulting subtraction spectrum exhibits absorbances corresponding to SOM that are enhanced relative to the original (untreated) soil spectrum. This is because non-linear absorbance of mineral components in soil samples prevents complete subtraction of all mineral absorbances. Artifactual mineral absorbances and/or incomplete removal of SOM limit interpretation of specific absorbance features or interpretation of the total SOM pool, respectively.
As evidenced by the examples shown here, the two common methods for removing SOM to obtain mineral reference spectra (thermal combustion or ashing, and chemical oxidation) tend to engender a trade-off between the degree of SOM removal and spectral artifacts. These have distinct consequences for the interpretation of subtraction spectra. For the same reason that it is used in the loss on ignition (LOI) method to estimate SOM content, high-temperature ashing (≥ 350 °C) removes nearly all SOM but is likely to alter crystalline mineral structures and thus produce changes in mineral absorbance bands. As illustrated here, these will manifest as artifacts in the subtraction spectrum if spectral contributions from minerals before and after ashing differ. The thermal sensitivity of minerals, which can be mineral-specific, forces a compromise on the utility of spectral subtractions calculated with reference spectra obtained by ashing, especially at high temperatures (e.g., 550 °C). Mineral alterations specific to mineral type and ashing temperature include dehydroxylation, interlayer collapse and dehydration41,42,43, and have been documented in spectra of soils of diverse mineralogy10,28,44,45.
Information on the mineralogy of a soil sample can be used beforehand to determine an ashing temperature that avoids or minimizes mineral alteration (e.g., interlayer collapse of kaolinite at or above 350 °C). Mineral artifacts can be identified and anticipated by subjecting a soil sample to ashing at varying temperatures and comparing the resulting spectra with the spectra of untreated soil and pure mineral standards10,46. One may also constrain sample set mineralogy in order to maintain subtraction artifacts that result from ashing constant across soil samples. Finally, lower ashing temperatures (e.g., 350 °C) can be used to enhance some organic bands10,47. Similar to chemical oxidations, the use of lower temperatures generally comes at a cost of lower28 (Table 2) and potentially selective10 SOM removal.
Chemical oxidations are in general less likely to cause mineral alteration, in particular for phyllosilicates, but may impact other mineral fractions such as iron (hydr)oxides. If known, the mineralogy of soil samples should be considered when selecting an oxidant. For example, sodium hypochlorite can remove relatively high amounts of SOM with minimal or no dissolution of mineral oxides, in contrast to other oxidizing agents (e.g., hydrogen peroxide)48,49,50,51. These effects are expected to depend on mineralogy and/or SOM (e.g., a high proportion of mineral-bound organic matter may be more resistant to some but not other oxidations).
The reason why zero-ing out target mineral bands is a better strategy than relying on software-calculated or a priori SFs is that these may need to be adjusted if target mineral bands are not fully removed. As this is common for mineral bands due to high phyllosilicate concentrations in soil samples and thus non-linear absorbance in spectra (e.g., Si-O stretch at 1,100-950 cm-1)22, especially for the widespread practice of analyzing neat samples (no halide salt dilution), the adjustment of the SF should be explored to minimize mineral bands as per experimental objectives.
Spectral subtractions offer a marked improvement on the ability of soil spectra to be used to interpret organic functional groups that compose SOM by improving the interpretability of organic absorbances in regions with overlapping mineral absorbances. Even organic bands though to be relatively mineral-free can benefit from spectral subtractions. For example, the aliphatic C-H stretch at 3,000-2,800 cm-1 is considered to be the least mineral-confounded organic band in soil spectra22, but its resolution can still be markedly improved with spectral subtractions52. Challenges to interpretation of FTIR spectra of a chemically complex sample such as SOM should not be conflated with the limitation of the method or its modifications (e.g., subtractions) because such complexity is an inherent attribute of SOM, which also challenges other spectroscopic approaches (e.g., nuclear magnetic resonance spectroscopy)1,5.
Spectral subtractions offer a unique strategy to address constraints inherent to spectroscopic analysis of SOM arising from mineral dominance of soil samples, and with strong complementarity to other methods with their own distinct limitations5,14. For example, a separate approach to improve FTIR spectroscopy analysis of SOM is the pre-treatment of soils with hydrofluoric acid (HF) to remove a majority of the mineral component. Since demineralization of soil samples is routine for NMR spectroscopic analysis, the same HF-treated soils are often also analyzed by FTIR spectroscopy. However, demineralization with HF can engender significant losses of SOM that compromise its utility as a stand-alone approach53,54. For example, nearly one-third of SOM of soil A (Tables 1 and 2) was removed during HF treatment5.
It is important to note that the utility of subtractions for analysis of soils is to enhance potential organic bands of interest at a particular wavenumber(s) rather than yielding a complete subtraction of all interfering mineral absorbances55,56,57,58. For this reason, subtractions may be more or less suited for particular spectral regions. Nguyen et al.4 recognized that subtractions were likely to be most useful to enhance organic bands at 1,800-1,600 cm-1, which Reeves III22 diagnosed as a spectral region for which accurate subtractions were possible even with artifacts from reference spectra obtained by high-temperature ashing. Mineral Si-O absorbances in this region subtract accurately, in contrast to other regions (e.g., 1,000-400 cm-1) due to non-linear absorbance and inversions of mineral bands such as Si-O at 1,050-980 cm-1 37,59.
A potentially fruitful area of future work is to systematically address soil properties expected to entail sample-specific artifacts introduced by the method of SOM removal. The main challenge to spectral subtractions is the difficulty of obtaining a mineral reference spectrum that has near or full SOM removal yet minimal or no artifacts from SOM removal. Current methods of high-temperature ashing and chemical oxidation engender a trade-off between these two objectives. Identifying mineralogy-specific artifacts detectable in FTIR spectra across a range of SOM removal conditions and soil types, as well as pure mineral standards, would be a first step toward establishing soil-specific recommendations22. Alternative SOM removal methods have yet to be systematically investigated. Promising removal methods include low-temperature ashing (often performed under low pressure) and for chemical oxidations, hydrogen peroxide and sodium peroxodisulphate14.
Spectra of soils demineralized using HF can be used to compare subtraction spectra obtained by various methods. HF can be used to dissolve and remove a majority of the mineral component of soil samples, yielding an SOM-enriched sample. Since the spectrum of an HF-treated soil sample should in theory be similar to a subtraction spectrum of the same soil using a mineral reference spectrum obtained by full removal of SOM, comparing the spectra of SOM obtained by HF demineralization versus subtraction could be used to cross-validate absorbance bands, identify artifacts and increase confidence in spectral assignments5, in particular in the regions prone to subtraction artifacts via inversion (< 1,200 cm-1). However, incomplete and/or selective removal of mineral and organic components during HF treatment means that spectra of HF-treated soils may not offer an 'objective' spectrum of SOM, only an operational comparison which, not unlike spectral subtractions, must be carefully considered in light of potential artifacts.
The authors have nothing to disclose.
We appreciate the guidance from Dr. Randy Southard on NaOCl oxidation and various discussions of spectral subtractions with Dr. Fungai F.N.D. Mukome.
Nicolet iS50 spectrometer | Thermo Fisher Scientific | 912A0760 | infrared spectrometer used to collect spectra |
EasiDiff | Pike Technologies | 042-1040 | high throughput sample holder |
OMNIC | Thermo Fisher Scientific | INQSOF018 | software used to perform subtractions |
6% v/v sodium hypochlorite | Clorox | n/a | generic store-bought bleach for oxidative removal of soil organic matter |
Type 47900 Furnace | VWR International | 30609-748 | muffle furnace for ashing soils to removal soil organic matter |
VWR Gooch Crucibles, Porcelain | VWR International | 89038-038 | crucibles for ashing |
VWR Tube 50 mL Sterile CS500 | VWR International | 89004-364 | for sodium hypochlorite |
Forced air oven | VWR International | 89511-414 | for drying soils after oxidation and water washes |
VersaStar pH meter | Fisher Scientific | 13 645 573 | for measuring pH of oxidation solution |