How can you identify zinc oxide nanoparticles from FTIR?
This page summarizes the recurring FTIR evidence reported for zinc oxide 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 18 cited sources
Quick answer
zinc oxide 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
| Funktionell grupp | Bevis |
|---|---|
| Acetate | 14 |
| Alkyl C-H | 14 |
| Methacrylate | 13 |
| Hydroxyl (O-H) | 11 |
| Methoxy (OCH3) | 9 |
| C-O single bond | 9 |
| Carboxyl (COOH) | 7 |
| Amide | 6 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of zinc oxide 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
-
förtroende 1,0
zinc oxide nanoparticles
Dhayalan 等 - 2021 - Eco friendly synthesis and characterization of zin DOI: 10.1515/nanofab-2020-0104 -
förtroende 1,0
zinc oxide nanoparticles
Mansour 等 - 2022 - Green Synthesis of Zinc Oxide Nanoparticles Using DOI: 10.3390/ma15155169 -
förtroende 0,8
zinc oxide nanoparticles
Biogenic Synthesis and Characterization of Antimicrobial and Antiparasitic Zinc Oxide (ZnO) Nanoparticles Using Aqueous Extracts of the Himalayan Columbine (Aquilegia pubiflora) DOI: 10.3389/fmats.2020.00249 -
förtroende 0,7
Zinc Oxide Nanoparticles
Synthesis and Characterization of Zinc Oxide Nanoparticles Using Acacia caesia Bark Extract and Its Photocatalytic and Antimicrobial Activities DOI: 10.3390/catal11121507 -
förtroende 0,7
zinc oxide nanoparticles
Moringa oleifera gum based silver and zinc oxide nanoparticles: green synthesis, characterization and their antibacterial potential against MRSA DOI: 10.1186/s40824-021-00219-5 -
förtroende 0,7
zinc oxide nanoparticles
Surface modification of zinc oxide nanoparticles by vinyltriethoxy silane (VTES) DOI: 10.1016/j.inoche.2020.108347 -
förtroende 0,7
zinc oxide nanoparticles
Krishnakumar 等 - 2012 - Zinc Oxide Nanoparticles Catalyzed Condensation Re DOI: 10.1100/2012/619080 -
förtroende 0,7
zinc oxide nanoparticles
Influence of temperature and concentration on biosynthesis and characterization of zinc oxide nanoparticles using cherry extract DOI: 10.1007/s40097-018-0257-6 -
förtroende 0,6
zinc oxide nanoparticles
Effect of zinc oxide nanoparticles synthesized from Carya illinoinensis leaf extract on growth and antioxidant properties of mustard (Brassica juncea) DOI: 10.3389/fpls.2023.1108186 -
förtroende 0,5
zinc oxide nanoparticles
Biosynthesis of zinc oxide nanoparticles using leaf extract of Calotropis gigantea: characterization and its evaluation on tree seedling growth in nursery stage DOI: 10.1007/s13204-017-0586-7
Upload your FTIR spectrum
Get AI-based polymer identification and peak-by-peak interpretation from your own spectrum.