How can you identify TiO2 from FTIR?
This page summarizes the recurring FTIR evidence reported for TiO2, 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 113 cited sources
Quick answer
TiO2 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 |
|---|---|
| Metal oxygen | 104 |
| Hydroxyl (O-H) | 86 |
| Alkyl C-H | 67 |
| Methacrylate | 51 |
| Acetate | 51 |
| C-O single bond | 50 |
| Carboxyl (COOH) | 43 |
| Methoxy (OCH3) | 41 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of TiO2, 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 4.8
TiO2
Synthesis and Characterization of Titanium Dioxide Thin Film for Sensor Applications DOI: 10.1088/2053-1591/aab695 -
confidence 4.8
TiO2
Fourier transform infrared reflection absorption spectroscopy and microspectroscopy, a tool to investigate thermally grown oxide scales DOI: 10.1016/j.tsf.2007.06.126 -
confidence 4.8
TiO2
Nakamura 和 Nakato - 2004 - Primary intermediates of oxygen photoevolution rea DOI: 10.1021/ja0388764CCC -
confidence 4.8
TiO2
Efficiency of the catalytic ozonation processes using nanoparticles deposited on pumice in the removal of bisphenol A DOI: 10.1080/03067319.2021.1903453 -
confidence 4.8
TiO2
Wang 等 - 2018 - Coloration and Decoloration of Textiles Using a Ti DOI: 10.1007/s12221-018-1134-0 -
confidence 4.8
TiO2
Aminev 等 - 2021 - Ozone Activation on TiO2 Studied by IR Spectroscop DOI: 10.3390/app11167683 -
confidence 4.8
TiO2
Avaliação gap óptico do TiO2 obtido pelo método Pechini: influência da variação das fases anatásio-rutilo DOI: 10.1590/S1517-707620170001.0285 -
confidence 4.8
TiO2
Nanocomposites of Polypropylene/Nano Titanium Dioxide: Effect of Loading Rates of Nano Titanium Dioxide DOI: 10.5755/j01.ms.22.3.8217 -
confidence 4.8
TiO2
Photocatalytic-Fenton Process under Simulated Solar Radiation Promoted by a Suitable Catalyst Selection DOI: 10.3390/catal11080885 -
confidence 4.8
TiO2
Removal of Emerging Pollutants from Water Using Environmentally Friendly Processes: Photocatalysts Preparation, Characterization, Intermediates Identification and Toxicity Assessment DOI: 10.3390/nano11010215
Upload your FTIR spectrum
Get AI-assisted polymer analysis and peak-by-peak interpretation from your own spectrum.
