How can you identify lipids from FTIR?

Quick answer

lipids 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

Spectrum logic

The logic here is evidence aggregation: repeated literature mentions of lipids, 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

• confianza 0,9

  lipids

  Pousti 等 - 2018 - Linear Scanning ATR-FTIR for Chemical Mapping and DOI: 10.1002/celc.201800968R1.
• confianza 0,9

  lipids

  AComDim, a multivariate tool to highlighting impact of agroclimatic factors on Moringa oleifera Lam. leaf’s composition from their FTIR-ATR profiles DOI: 10.1111/j.1745-4557.2008.00218.
• confianza 0,8

  lipids

  Rapid Assessment of Lipidomics Sample Purity and Quantity Using Fourier-Transform Infrared Spectroscopy DOI: 10.3390/biom12091265
• confianza 0,7

  lipids

  FTIR, Raman and AFM characterization of the clinically valid biochemical parameters of the thrombi in acute ischemic stroke DOI: 10.1038/s41598-019-51932-0
• confianza 0,7

  lipids

  Byrtusova 等 - 2020 - Revealing the Potential of Lipid and beta-Glucans DOI: 10.3390/microorganisms8071034
• confianza 0,7

  lipids

  FTIR spectral signature of the effect of cardiotonic steroids with antitumoral properties on a prostate cancer cell line DOI: 10.1016/j.bbadis.2010.07.012
• confianza 0,7

  lipids

  Research on Misfiring Fault Diagnosis of Engine Based on Wavelet Analysis DOI: 10.25165/j.ijabe.20181105.3748
• confianza 0,7

  lipids

  Microstructure and Characteristic of BiVO4 Prepared under Different pH Values: Photocatalytic Efficiency and Antibacterial Activity DOI: 10.3390/ma9030129
• confianza 0,7

  Lipids

  Biochemical profiling, prediction of total lipid content and fatty acid profile in oleaginous yeasts by FTIR spectroscopy DOI: 10.1186/s13068-019-1481-0
• confianza 0,6

  lipids

  Prediction of Neonatal Respiratory Distress Biomarker Concentration by Application of Machine Learning to Mid-Infrared Spectra DOI: 10.3390/s22051744