How can you identify serum from FTIR?
This page summarizes the recurring FTIR evidence reported for serum, 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 11 cited sources
Quick answer
serum 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
| Funkcionālā grupa | Pierādījumi |
|---|---|
| Amide | 7 |
| Phosphate (PO4) | 4 |
| Protein | 3 |
| Ester | 3 |
| Methyl | 3 |
| Methoxy (OCH3) | 3 |
| Methacrylate | 3 |
| Alkyl C-H | 3 |
Spectrum logic
The logic here is evidence aggregation: repeated literature mentions of serum, 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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New approach to investigate Common Variable Immunodeficiency patients using spectrochemical analysis of blood DOI: 10.1038/s41598-019-43196-5 -
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Dogan 等 - 2013 - ATR-FTIR spectroscopy reveals genomic loci regulat DOI: 10.1186/1471-2164-14-386 -
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serum
Protein Conformational Changes in Breast Cancer Sera Using Infrared Spectroscopic Analysis DOI: 10.3390/cancers12071708 -
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serum
Liquid Biopsy for Pancreatic Cancer Detection Using Infrared Spectroscopy DOI: 10.3390/cancers14133048 -
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serum
Changes in γH2AX and H4K16ac levels are involved in the biochemical response to a competitive soccer match in adolescent players DOI: 10.1038/s41598-020-71436-6 -
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serum
Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Discriminates the Elderly with a Low and High Percentage of Pathogenic CD4+ T Cells DOI: 10.3390/cells11030458 -
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Araujo 等 - 2022 - Plasma versus Serum Analysis by FTIR Spectroscopy DOI: 10.3390/biotech11040056 -
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Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans DOI: 10.3390/biom10071058 -
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serum
Comparison of the Immune Response in Vaccinated People Positive and Negative to SARS-CoV-2 Employing FTIR Spectroscopy DOI: 10.3390/cells11233884 -
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Investigating centrifugal filtration of serum-based FTIR spectroscopy for the stratification of brain tumours DOI: 10.1371/journal.pone.0279669
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