How can you identify starch from FTIR?
This page summarizes the recurring FTIR evidence reported for starch, 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 91 cited sources
Quick answer
starch 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
| 官能基 | 証拠 |
|---|---|
| Hydroxyl (O-H) | 90 |
| Methacrylate | 86 |
| Acetate | 86 |
| C-O single bond | 76 |
| Alkyl C-H | 71 |
| Methoxy (OCH3) | 68 |
| Carbohydrate | 53 |
| Amide | 38 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of starch, 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
-
信頼度 6.1
starch
The effect of heat moisture treatment on crystallinity and physicochemical-digestibility properties of purple yam flour DOI: 10.1016/j.foodhyd.2021.106889 -
信頼度 6.1
starch
Cao 等 - 2020 - Optimization of the preparation process of mung be DOI: 10.1515/ijfe-2020-0025 -
信頼度 6.1
starch
Structural modification and functional improvement of starch nanoparticles using vacuum cold plasma DOI: 10.1016/j.ijbiomac.2019.12.167 -
信頼度 6.1
starch
Effects of ionic liquid on the hydroxylpropylmethyl cellulose (HPMC) solid polymer electrolyte DOI: 10.1007/s11581-016-1768-0 -
信頼度 6.1
starch
Physicochemical properties and in vitro digestibility of potato starch after inclusion with vanillic acid DOI: 10.1016/j.lwt.2017.07.010 -
信頼度 6.1
starch
Hussain 等 - 2020 - Visco-thermal and structural characterization of w DOI: 10.1007/s13197-020-04327-3 -
信頼度 6.1
starch
Kaur 和 Gill - 2019 - Effect of high-intensity ultrasound treatment on n DOI: 10.1016/j.ijbiomac.2018.12.149 -
信頼度 6.1
starch
Li 等 - 2010 - Discrimination of five species of Fritillaria and DOI: 10.1016/j.molstruc.2010.01.031 -
信頼度 6.1
starch
Physicochemical and disintegrant properties of sodium Carboxymethyl starch derived from Borassus aethiopum (Arecaceae) shoot DOI: 10.1007/s10965-018-1565-8 -
信頼度 6.1
starch
Influence of acetylation on physicochemical and morphological characteristics of pigeon pea starch DOI: 10.1016/j.foodhyd.2019.105424
Upload your FTIR spectrum
Get AI-based polymer identification and peak-by-peak interpretation from your own spectrum.