FTIR FUNCTIONAL GROUP

Amide — FTIR absorption peaks and assignments

These are the characteristic FTIR wavenumbers where Amide tends to absorb, compiled from published literature and ranked by supporting evidence. Each assignment is traceable to a source (DOI) and cross-validated against our 320,000+ reference spectra and knowledge graph.

Backed by 8 cited sources

Quick answer

Amide is usually assigned by looking for a recurring cluster of characteristic peaks rather than one exact textbook number. The table below shows where the literature most often places this group in FTIR, ranked by accumulated evidence.

Characteristic FTIR peaks for Amide

Wavenumber (cm⁻¹) Supporting facts Cited sources Top confidence
1650 248 213 1.0
1550 118 105 1.0
1640 105 96 1.0
1700 100 91 1.0
1660 92 78 1.0
1600 91 79 1.0
1740 90 81 1.0
1630 86 77 1.0
1655 85 80 1.0
1540 83 74 1.0
1730 78 74 1.0
1720 71 66 1.0
1735 59 58 1.0
1545 53 46 1.0
1645 52 49 1.0
1656 50 43 1.0
1240 48 44 1.0
1652 47 45 1.0
1654 47 44 1.0
3300 47 43 1.0
1635 42 41 1.0
1637 42 38 1.0
1644 41 37 1.0
1638 41 37 1.0
1500 41 34 1.0
1651 40 37 1.0
1750 39 37 1.0
1639 39 36 1.0
1653 39 35 1.0
1657 36 31 1.0

Showing the 30 best-supported peaks of 1462 total for Amide.

Possible materials

Material Supporting peaks Cited sources
PVA 1660, 1723, 2930 1
Bacterial Cellulose 1100, 3400, 3300 1
Polyamide 1663, 1541, 1609 1
MWCNTs 1735, 1660, 1076 1
chitosan 1650, 1655, 1630 1

Spectrum logic

A functional-group assignment becomes more confident when several expected bands appear together. Use this page to find the strongest-supported peaks, then confirm that the same sample exhibits a coherent pattern rather than a single isolated hit.

Real-world usage

These pages are useful for unknown material analysis, peak explanation in reports, polymer troubleshooting, and verifying whether a candidate material family is chemically plausible.

Common mistakes

  • Using one functional-group page as a complete material verdict without checking the rest of the spectrum.
  • Assuming the strongest band is always the most diagnostic one.
  • Forgetting that processing, additives, aging, and mixtures can shift or broaden expected peaks.

Verification advice

Use DSC, GC-MS, or TGA when several material families share similar bands or when mixture effects make the FTIR assignment uncertain.

Literature behind these assignments

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