How can you identify glucose from FTIR?
This page summarizes the recurring FTIR evidence reported for glucose, 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 15 cited sources
Quick answer
glucose 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 |
|---|---|
| C-O single bond | 15 |
| Methacrylate | 14 |
| Acetate | 14 |
| Hydroxyl (O-H) | 13 |
| Methoxy (OCH3) | 11 |
| Carboxyl (COOH) | 9 |
| Carbonyl (C=O) | 8 |
| Carbohydrate | 8 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of glucose, 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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confidence 4.0
glucose
In vivo interstitial glucose characterization and monitoring in the skin by ATR-FTIR spectroscopy DOI: 10.1117/12.874735 -
confidence 4.0
Glucose
Pseudo-Continuous Flow FTIR System for Glucose, Fructose and Sucrose Identification in Mid-IR Range DOI: 10.3390/mi9100517 -
confidence 4.0
glucose
Querido 等 - 2022 - Nondestructive assessment of tissue engineered car DOI: 10.1039/d1an02351a. -
confidence 4.0
glucose
Leopold 等 - 2011 - Quantification of carbohydrates in fruit juices us DOI: 10.3233/SPE-2011-0529 -
confidence 4.0
glucose
Meinke 等 - 2008 - Two-wavelength carbon dioxide laser application fo DOI: 10.1117/1.2870093(cid:4) -
confidence 4.0
glucose
Raman 等 - 2021 - Antioxidant activity of partially characterized po DOI: 10.14480/JM.2021.19.3.140 -
confidence 2.5
Glucose
Spectroscopic Investigation of the Impact of Cold Plasma Treatment at Atmospheric Pressure on Sucrose and Glucose DOI: 10.3390/foods11182786 -
confidence 2.5
Glucose
Further Insight into Thermally and pH-Induced Generation of Acrylamide from Glucose/Asparagine Model Systems DOI: 10.1021/jf073055u -
confidence 2.5
Glucose
Rapid Analysis of Glucose, Fructose, Sucrose, and Maltose in Honeys from Different Geographic Regions using Fourier Transform Infrared Spectroscopy and Multivariate Analysis DOI: 10.1111/j.1750-3841.2009.01504.x -
confidence 2.5
Glucose
Kinetic and Stoichiometric Modeling-Based Analysis of Docosahexaenoic Acid (DHA) Production Potential by Crypthecodinium cohnii from Glycerol, Glucose and Ethanol DOI: 10.3390/md20020115
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