How can you identify SiC from FTIR?
This page summarizes the recurring FTIR evidence reported for SiC, 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 22 cited sources
Quick answer
SiC 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 carbon | 18 |
| Silicon-oxygen (Si-O) | 11 |
| Silicon (Si) | 8 |
| Siloxane (Si-O-Si) | 7 |
| Silicon silicon | 2 |
| Metal oxygen | 1 |
| Carbon dioxide | 1 |
| Methoxy (OCH3) | 1 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of SiC, 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
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confidence 4.8
SiC
SiC heteroepitaxial growth by low pressure chemical vapor deposition on Si(111) substrates DOI: 10.1016/S0925-3467(03)00070-3 -
confidence 4.8
SiC
Criner 等 - 2018 - Quantification of Material State using Reflectance DOI: 10.1063/1.5031610 -
confidence 4.8
SiC
Characterization of ceramic matrix composite degradation using Fourier transform infrared spectroscopy DOI: 10.1063/1.5031613 -
confidence 4.8
SiC
Characterization of semiconductor materials using synchrotron radiation-based near-field infrared microscopy and nano-FTIR spectroscopy DOI: 10.1364/OE.22.017948 -
confidence 4.8
SiC
Kaestner 等 - 2018 - Compressed sensing FTIR nano-spectroscopy and nano DOI: 10.1364/OE.26.018115 -
confidence 3.6
SiC
Nanostructural Characters of β-SiC Nanoparticles Prepared from Indonesian Natural Resource using Sonochemical Method DOI: 10.1088/1742-6596/1011/1/012066 -
confidence 3.6
SiC
Ion beam induced modification and nanostructures formation in thin SiC/Pd films on c-Si substrate DOI: 10.1016/j.nimb.2021.01.018 -
confidence 3.6
SiC
Growth of Single Crystalline 3C-SiC and AIN on Si using Porous Si as a Compliant Seed Crystal DOI: 10.4028/www.scientific.net/MSF.338-342.313 -
confidence 3.6
SiC
Characterization of Thermal Oxides on 4H-SiC Epitaxial Substrates Using Fourier-Transform Infrared Spectroscopy DOI: 10.1177/0003702816658674 -
confidence 3.6
SiC
Structure and optical properties of the SiC/ZnO five-layer multi-layer on Si (111) substrate with a SiC buffer layer DOI: 10.1088/0022-3727/39/15/005
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