Silicon carbon — FTIR absorption peaks and assignments

Quick answer

Silicon carbon is usually assigned by looking for a recurring cluster of characteristic peaks rather than one exact textbook number. The table below shows where the literature most often places this group in FTIR, ranked by accumulated evidence.

Characteristic FTIR peaks for Silicon carbon

Showing the 30 best-supported peaks of 130 total for Silicon carbon.

Possible materials

Spectrum logic

A functional-group assignment becomes more confident when several expected bands appear together. Use this page to find the strongest-supported peaks, then confirm that the same sample exhibits a coherent pattern rather than a single isolated hit.

Real-world usage

These pages are useful for unknown material analysis, peak explanation in reports, polymer troubleshooting, and verifying whether a candidate material family is chemically plausible.

Common mistakes

• Using one functional-group page as a complete material verdict without checking the rest of the spectrum.
• Assuming the strongest band is always the most diagnostic one.
• Forgetting that processing, additives, aging, and mixtures can shift or broaden expected peaks.

Verification advice

Use DSC, GC-MS, or TGA when several material families share similar bands or when mixture effects make the FTIR assignment uncertain.

Literature behind these assignments

• 796 cm⁻¹ confidence 1.0

  “Raman spectra showed two characteristic peaks at 796 and 968 which are corresponding to transversal h-SiC, optic mode and longitudinal optic mode of respectively.”

  Structural characterization of β-SiC nanowires synthesized by direct heating method DOI: 10.1016/j.msec.2005.09.083
• 2900 cm⁻¹ confidence 1.0

  “LLM confirmed rule peak-group candidate”

  Rapid synthesis of water-glass based aerogels by in situ surface modification of the hydrogels DOI: 10.1016/j.apsusc.2006.07.016
• 820 cm⁻¹ confidence 1.0

  “The spectra exhibit transmission peaks at around 820, 1060 and 1270 corresponding to Si-O bending, Si-O and Si-CH stretching, respectively [4].”

  Characterization of SiOF Thin Films Deposited by PECVD from Hexamethyldisiloxane in Mixture with Oxygen and CF<sub>4</sub> DOI: 10.4028/www.scientific.net/MSF.609.59
• 961 cm⁻¹ confidence 1.0

  “2 3 3 cm-1, cm-1 cm-1, SiOCH 2CH at 1390 SiOC symmetric stretch at 961 and SiC stretch at 789 are”

  Structural Characterization and Corrosion Properties of BTESPT Silane Films on Surface of 2024-T6 Aluminium Alloy DOI: 10.4028/www.scientific.net/MSF.546-549.1111
• 1260 cm⁻¹ confidence 1.0

  “Due to LiTFSI/ PSx interactions, a slight shifting of 1260cm-1 atῦ Si-CH bending mode = to higher wavenumbers was membrane due to stiffening.”

  Characterization of semi-interpenetrating polymer electrolytes containing poly(vinylidene fluoride-co-hexafluoropropylene) and ether-modified polysiloxane DOI: 10.1016/j.ssi.2016.02.016
• 1200 cm⁻¹ confidence 1.0

  “sic absorption band of chitosan at 1200 950 is less intense”

  New versatile approach for analysis of PEG content in conjugates and complexes with biomacromolecules based on FTIR spectroscopy. DOI: 10.1016/j.colsurfb.2016.01.030
• 1200 cm⁻¹ confidence 1.0

  “1200cm-1, carbonyl species, closed to the surface, can interact via hydroaround and Si-C stretching contribute to the envegen bonding with a Si-H lowering its stretching frequency.”

  Effect of the reaction time, reagent concentration and sample thickness on the thermal derivatisation of p+ porous silicon with α-undecene and ω-carboxy alkenes: A FTIR investigation DOI: 10.1016/j.snb.2007.10.043
• 780 cm⁻¹ confidence 1.0

  “LLM confirmed rule peak-group candidate”

  Si and SiC nanocrystals in an amorphous SiC matrix: Formation and electrical properties DOI: 10.1002/pssc.201000176