How can you identify soil from FTIR?
This page summarizes the recurring FTIR evidence reported for soil, including the most frequent peaks, supporting functional groups, and literature-backed interpretation patterns. It is a structured evidence page, not a claim of automatic single-spectrum certainty.
Backed by 14 cited sources
Quick answer
soil is usually reported with a recurring pattern of peaks and functional-group evidence. The most useful approach is to cross-check at least two characteristic peaks before treating it as a match, then verify whether the full spectrum still fits the same material family.
Peak interpretation
Possible materials / groups
| Functional group | Evidence |
|---|---|
| Silicon-oxygen (Si-O) | 14 |
| Hydroxyl (O-H) | 9 |
| Alkyl C-H | 5 |
| Silicon (Si) | 4 |
| Aromatic ring | 4 |
| Carboxyl (COOH) | 3 |
| Methoxy (OCH3) | 3 |
| Methacrylate | 3 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of soil, repeated peak positions, and repeated functional-group associations. A strong material hypothesis should still be supported by multiple peaks that agree with each other, not by one headline band alone.
Real-world usage
This page is designed for polymer identification, incoming-material QC, unknown plastic analysis, recycled-content review, and literature-backed interpretation of reference spectra.
Common mistakes
- Calling a material match too early because one famous peak is present.
- Ignoring sample prep, fillers, oxidation, water, or additives that can change the apparent pattern.
- Using literature evidence without checking whether your own sampling mode and spectrum quality are comparable.
Verification advice
Use DSC, GC-MS, or TGA to validate the material hypothesis when the peak pattern is ambiguous or mixed.
Literature behind this page
-
confidence 0.9
soil
Sawdust Recycling in the Development of Permeable Clay Paving Bricks: Optimizing Mixing Ratio and Particle Size DOI: 10.3390/su141811115 -
confidence 0.8
soil
Soil variability description using Fourier transform mid-infrared photoacoustic spectroscopy coupling with RGB method DOI: 10.1016/j.catena.2017.01.005 -
confidence 0.8
soil
Maynard 和 Johnson - 2018 - Applying fingerprint Fourier transformed infrared DOI: 10.2489/jswc.73.4.443. -
confidence 0.8
soil
Instrumental and Experimental Conditions for the Application of Fourier Transform Infrared Analysis on Soil and Humic Acid Samples, Combined with Chemometrics Tools and Scanning Electron Microscopy DOI: 10.5935/0103-5053.20150170 -
confidence 0.8
soil
Parikh 等 - 2014 - Soil Chemical Insights Provided through Vibrationa DOI: 10.1016/B978-0-12-800132-5.00001-8 -
confidence 0.7
soil
FTIR Photoacoustic and ATR Spectroscopies of Soils with Aggregate Size Fractionation by Dry Sieving DOI: 10.1021/acsomega.1c05702 -
confidence 0.4
soil
Non-aqueous phase liquid-contaminated soil remediation by ex situ dielectric barrier discharge plasma DOI: 10.1007/s13762-013-0489-4 -
confidence 0.3
soil
The long term effect of Olive Mill Wastewater (OMW) on organic matter humification in a semi-arid soil DOI: 10.1016/j.heliyon.2020.e03181 -
soil
Bioaugmentation assisted mycoremediation of heavy metal and/metalloid landfill contaminated soil using consortia of filamentous fungi DOI: 10.1016/j.bej.2020.107550 -
soil
Optimizing setup of scan number in FTIR spectroscopy using the moment distance index and PLS regression: application to soil spectroscopy DOI: 10.1038/s41598-021-92858-w
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