How can you identify honey from FTIR?
This page summarizes the recurring FTIR evidence reported for honey, 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 13 cited sources
Quick answer
honey 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
| 官能团 | 证据 |
|---|---|
| Methacrylate | 14 |
| Acetate | 14 |
| C-O single bond | 14 |
| Alkyl C-H | 14 |
| Hydroxyl (O-H) | 14 |
| Methoxy (OCH3) | 11 |
| Carbohydrate | 8 |
| Amide | 7 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of honey, 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
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置信度 0.9
honey
Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy DOI: 10.3390/foods10112892 -
置信度 0.9
honey
SPME-GC-MS and FTIR-ATR Spectroscopic Study as a Tool for Unifloral Common Greek Honeys’ Botanical Origin Identification DOI: 10.3390/app11073159 -
置信度 0.8
honey
Botanical Origin Assessment of Honey Based on ATR-IR Spectroscopy: A Comparison between the Efficiency of Supervised Statistical Methods and Artificial Intelligence DOI: 10.3390/app12199645 -
置信度 0.8
honey
Kedzierska-Matysek 等 - 2018 - Application of FTIR spectroscopy for analysis of t DOI: 10.1051/bioconf/20181002008 -
置信度 0.8
honey
Nigella/honey/garlic/olive oil co-loaded PVA electrospun nanofibers for potential biomedical applications DOI: 10.1007/s40204-022-00207-5 -
置信度 0.8
honey
dos Santos 等 - 2020 - Layered cryogels laden with Brazilian honey intend DOI: 10.1590/0104-1428.06820 -
置信度 0.7
honey
Cebi 等 - 2020 - An evaluation of FTIR spectroscopy for prediction DOI: 10.1080/00218839.2019.1707009 -
置信度 0.7
honey
Determination of honey adulteration with beet sugar and corn syrup using infrared spectroscopy and genetic‐algorithm‐based multivariate calibration DOI: 10.1002/jsfa.9105 -
置信度 0.7
honey
David 等 - 2022 - The Development of Honey Recognition Models Based DOI: 10.3390/ijms23179977 -
置信度 0.7
honey
A Hybrid Sensing Approach for Pure and Adulterated Honey Classification DOI: 10.3390/s121014022
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