How can you identify saliva from FTIR?
This page summarizes the recurring FTIR evidence reported for saliva, 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 16 cited sources
Quick answer
saliva 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
| Funktionelle Gruppe | Beweis |
|---|---|
| Amide | 21 |
| Alkyl C-H | 17 |
| Methacrylate | 14 |
| Acetate | 14 |
| Methoxy (OCH3) | 10 |
| Nucleic acid | 9 |
| C-O single bond | 8 |
| Carbohydrate | 7 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of saliva, 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
-
Vertrauen 1,0
saliva
Salivary molecular spectroscopy: A sustainable, rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment DOI: 10.1371/journal.pone.0223461 -
Vertrauen 0,9
saliva
Elkins - 2011 - Rapid Presumptive Fingerprinting of Body Fluids DOI: 10.1111/j.1556-4029.2011.01870.x -
Vertrauen 0,9
saliva
Salivary Detection of Zika Virus Infection Using ATR-FTIR Spectroscopy Coupled with Machine Learning Algorithms and Univariate Analysis: A Proof-of-Concept Animal Study DOI: 10.3390/diagnostics13081443 -
Vertrauen 0,9
saliva
Salivary ATR-FTIR Spectroscopy Coupled with Support Vector Machine Classification for Screening of Type 2 Diabetes Mellitus DOI: 10.3390/diagnostics13081396 -
Vertrauen 0,9
saliva
The Role of the Preanalytical Step for Human Saliva Analysis via Vibrational Spectroscopy DOI: 10.3390/metabo13030393 -
Vertrauen 0,9
saliva
Attenuated total reflection FTIR dataset for identification of type 2 diabetes using saliva DOI: 10.1016/j.csbj.2022.08.038 -
Vertrauen 0,9
saliva
Vieira 等 - 2021 - Infrared Spectroscopy Based Study of Biochemical C DOI: 10.2116/analsci.20P395 -
Vertrauen 0,8
saliva
Optical screening of diabetes mellitus using non-invasive Fourier-transform infrared spectroscopy technique for human lip DOI: 10.1016/j.jpba.2012.12.009 -
Vertrauen 0,8
saliva
Unlocking the Diagnostic Potential of Saliva: A Comprehensive Review of Infrared Spectroscopy and Its Applications in Salivary Analysis DOI: 10.3390/jpm13060907 -
Vertrauen 0,8
saliva
ATR-FTIR Spectroscopy with Chemometrics for Analysis of Saliva Samples Obtained in a Lung-Cancer-Screening Programme: Application of Swabs as a Paradigm for High Throughput in a Clinical Setting DOI: 10.3390/jpm13071039
Upload your FTIR spectrum
Get AI-based polymer identification and peak-by-peak interpretation from your own spectrum.