FTIR FUNCTIONAL GROUP

Methacrylate — FTIR absorption peaks and assignments

These are the characteristic FTIR wavenumbers where Methacrylate 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 130,000+ reference spectra and knowledge graph.

Backed by 8 cited sources

Quick answer

Methacrylate 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 Methacrylate

Wavenumber (cm⁻¹) Supporting facts Cited sources Top confidence
1730 91 88 1.0
1740 81 74 1.0
1100 75 70 1.0
1700 75 69 1.0
1720 72 67 1.0
1735 70 66 1.0
1030 67 60 1.0
1650 61 59 1.0
1150 56 55 1.0
1160 54 53 1.0
1050 51 48 1.0
1000 48 48 1.0
1200 47 46 1.0
1600 46 44 1.0
1080 45 43 1.0
1630 43 41 1.0
1240 42 41 1.0
1250 42 39 1.0
1750 41 39 1.0
1715 38 36 1.0
1640 38 35 1.0
1035 36 32 1.0
1155 35 35 1.0
1060 35 34 1.0
1743 34 34 1.0
1020 34 32 1.0
1745 34 32 1.0
1400 33 32 1.0
1710 33 27 1.0
1040 32 30 1.0

Showing the 30 best-supported peaks of 1585 total for Methacrylate.

Possible materials

Material Supporting peaks Cited sources
PMMA 1722, 1383, 1628 1
Polyamide 1663, 1541, 1609 1
nanotube 1540, 1080, 1735 1
biodiesel 858, 3470, 1457 1
Zinc Oxide Nanoparticles 1744, 1627, 1638 1
glycerol 1585, 1630, 2043 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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