What absorbs at 3033 cm⁻¹ in an FTIR spectrum?
A band near 3033 cm⁻¹ can point to several functional groups. Below are the most likely assignments, ranked by how much published evidence supports each — every one traceable to literature (DOI) and cross-validated against our 130,000+ reference spectra and knowledge graph.
Backed by 6 cited sources
Penetapan kumpulan berfungsi yang mungkin
| Kumpulan berfungsi | Fakta sokongan | Sumber dipetik | Keyakinan tertinggi |
|---|---|---|---|
| Alkyl C-H | 4 | 4 | 1.0 |
| Aromatic ring | 2 | 2 | 1.0 |
Pemeringkatan mencerminkan bukti literatur terkumpul, bukan satu peraturan berwibawa. Sentiasa sahkan terhadap konteks sampel anda.
Literatur di sebalik penetapan ini
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Alkyl C-H keyakinan 1.0
“The sharp peak at 3033 4 5 is due to the Q branch of the C-H stretch which is strong.”
Blue-Shifted Hydrogen Bonding in the Gas Phase CH/D3CN●●●HCCl3 Complexes DOI: 10.1021/acs.jpca.8b12200 -
Alkyl C-H keyakinan 1.0
“Two weak bands superimposed to this broad cm-1, which are ascribed to the C-H stretching vibrations of absorption appear at 3066 and 3033 cm-1 the aromatic ring of the alcohol.”
Augugliaro 等 - 2008 - Photocatalytic oxidation of aromatic alcohols to a DOI: 10.1016/j.apcata.2008.07.038 -
Alkyl C-H keyakinan 1.0
“The cm-1 ν(C-H) stretching at 3033 is the most intense band among these polyphenols.”
Vibrational Study (Raman, SERS, and IR) of Plant Gallnut Polyphenols Related to the Fabrication of Iron Gall Inks DOI: 10.3390/molecules27010279 -
Alkyl C-H keyakinan 1.0
“LLM confirmed rule peak-group candidate”
Puri 等 - 2020 - Development of binary dispersions and nanocomposit DOI: 10.34172/bi.2020.34 -
Aromatic ring keyakinan 1.0
“LLM confirmed rule peak-group candidate”
Wen 等 - 2019 - Growth of 4-N,N-Dimethylamino-4 '-N '-methyl-stilb DOI: 10.3390/cryst9100494 -
Aromatic ring keyakinan 1.0
“The characteristic bands of alkenes and aromatic compounds are 3074 cm-1, 1630 cm-1, 910 cm-1, cm-1, cm-1, cm-1, The characteristic bands of alkenes and aromatic compounds are 3074 1630 910 3033 cm-1, 1496 cm-1, and 698 cm-1.”
Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks DOI: 10.3390/app8081224
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