How can you identify TiO2 nanoparticles from FTIR?
This page summarizes the recurring FTIR evidence reported for TiO2 nanoparticles, 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 21 cited sources
Quick answer
TiO2 nanoparticles 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 | 22 |
| Hydroxyl (O-H) | 20 |
| Alkyl C-H | 15 |
| Carboxyl (COOH) | 7 |
| N h | 6 |
| C-O single bond | 5 |
| Phosphate (PO4) | 5 |
| Water (H2O) | 4 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of TiO2 nanoparticles, 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 1.0
TiO2 nanoparticles
Reactions of Hydrazoic Acid on TiO<sub>2</sub> Nanoparticles: an Experimental and Computational Study DOI: 10.1021/jp0458046 -
confidence 0.9
TiO2 nanoparticles
Bio-engineered TiO <sub>2</sub> nanoparticles using <i>Ledebouria revoluta</i> extract: Larvicidal, histopathological, antibacterial and anticancer activity DOI: 10.1080/03067319.2020.1718668 -
confidence 0.9
TiO2 nanoparticles
Ionic liquid assisted hydrothermal synthesis of TiO2 nanoparticles: photocatalytic and antibacterial activity DOI: 10.1016/j.jmrt.2017.02.001 -
confidence 0.9
TiO2 nanoparticles
Efficiency of the catalytic ozonation processes using nanoparticles deposited on pumice in the removal of bisphenol A DOI: 10.1080/03067319.2021.1903453 -
confidence 0.9
TiO2 nanoparticles
Investigations on structural, optical, and impedance spectroscopy studies of titanium dioxide nanoparticles DOI: 10.4314/bcse.v35i1.13 -
confidence 0.9
TiO2 nanoparticles
A Highly Selective Novel Green Cation Exchange Membrane Doped with Ceramic Nanotubes Material for Direct Methanol Fuel Cells DOI: 10.3390/en14185664 -
confidence 0.9
TiO2 nanoparticles
Antibacterial Activity of TiO2 Nanoparticles Prepared by One-Step Laser Ablation in Liquid DOI: 10.3390/app11104623 -
confidence 0.9
TiO2 nanoparticles
Assessment of ATR-FTIR spectroscopy with multivariate analysis to investigate the binding mechanisms of Ag and TiO <sub>2</sub> nanoparticles to Chelex®-100 or Metsorb™ for the DGT technique DOI: 10.1039/c9ay02458a -
confidence 0.8
TiO2 nanoparticles
Synthesis and Characterization of Titanium Dioxide Thin Film for Sensor Applications DOI: 10.1088/2053-1591/aab695 -
confidence 0.8
TiO2 nanoparticles
Biocompatible fabrication of TiO2 nanoparticles: Antimicrobial, anticoagulant, antiplatelet, direct hemolytic and cytotoxicity properties DOI: 10.1016/j.inoche.2021.108505
Upload your FTIR spectrum
Get AI-assisted polymer analysis and peak-by-peak interpretation from your own spectrum.
