How can you identify oil shale from FTIR?
This page summarizes the recurring FTIR evidence reported for oil shale, 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 10 cited sources
Quick answer
oil shale 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
| Функциональная группа | Доказательства |
|---|---|
| Alkyl C-H | 21 |
| Hydroxyl (O-H) | 6 |
| Silicon-oxygen (Si-O) | 5 |
| Aromatic ring | 4 |
| Silicon (Si) | 2 |
| Ring structure | 2 |
| Carboxyl (COOH) | 2 |
| C c single bond | 2 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of oil shale, 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
-
достоверность 1,0
oil shale
Zhao 等 - 2015 - Evaluation of Oil Yield of Oil Shale by Infrared S DOI: 10.1007/s40242-015-4364-3 -
достоверность 0,9
oil shale
High Throughput Screening and Characterization Methods of Jordanian Oil Shale as a Case Study DOI: 10.3390/en12163148 -
достоверность 0,9
oil shale
Altun - 2009 - INCIDENTAL RELEASE OF BITUMEN DURING OIL SHALE GRI DOI: 10.3176/oil.2009.3.04 -
достоверность 0,9
oil shale
Mozaffari 等 - 2022 - Effect of N-2 and CO2 on shale oil from pyrolysis DOI: 10.1080/10916466.2014.950383. -
достоверность 0,9
oil shale
Palayangoda 和 Nguyen - 2015 - THERMAL BEHAVIOR OF RAW OIL SHALE AND ITS COMPONEN DOI: 10.3176/oil.2015.2.06 -
достоверность 0,8
oil shale
Palayangoda 和 Nguyen - 2012 - AN ATR-FTIR PROCEDURE FOR QUANTITATIVE ANALYSIS OF DOI: 10.3176/oil.2012.4.05 -
достоверность 0,7
oil shale
Kaljuvee 等 - 2021 - Study of Thermooxidation of Oil Shale Samples and DOI: 10.3390/min11020193 -
достоверность 0,7
oil shale
Xie Fang-Fang 等 - 2010 - STUDY ON THERMAL CONVERSION OF HUADIAN OIL SHALE U DOI: 10.3176/oil.2010.4.04 -
достоверность 0,3
oil shale
Liu 等 - 2022 - Pyrolysis Characteristics and Effect on Pore Struc DOI: 10.1155/2022/7857239 -
oil shale
Research on the Characteristics and Kinetics of the Pyrolysis Process and Products Generation of Jimsar (China) Oil Shale Using TG-FTIR DOI: 10.3390/pr11051535
Upload your FTIR spectrum
Get AI-based polymer identification and peak-by-peak interpretation from your own spectrum.