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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
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When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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When infrared radiation is passed through a molecule, absorption occurs if the molecule's vibration leads to a substantial change in its bond dipole moment. Transitions between vibrational energy levels, typically corresponding to infrared frequencies (4000–400 cm−1), allow absorption if the vibration significantly alters the dipole moment, making the molecule infrared active. The molecular bonds have different stretching and bending vibrations, resulting in various peaks with...
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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Peatland Mid-Infrared Database.

Henning Teickner1,2, Svenja Agethen3, Sina Berger4

  • 1Ecohydrology & Biogeochemistry Group, Institute of Landscape Ecology, University of Münster, Münster, Germany. henning.teickner@uni-muenster.de.

Scientific Data
|April 6, 2026
PubMed
Summary
This summary is machine-generated.

The Peatland Mid-Infrared Database provides 3877 mid-infrared spectra and peat properties, aiding peat chemistry analysis and spectral model development. This resource supports research into peatland ecosystems and spectral data standards.

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Geoscience

Background:

  • Systematic collections of peat mid-infrared spectra and properties are limited, hindering peat chemistry understanding and spectral prediction model development.
  • Existing data repositories lack comprehensive coverage, with underrepresentation of southern/tropical peat and fen peat samples.

Purpose of the Study:

  • To establish the Peatland Mid-Infrared Database (pmird) containing 3877 mid-infrared spectra and associated peat properties.
  • To provide a valuable resource for analyzing peat chemistry, developing spectral prediction models, and advancing data standards.

Main Methods:

  • Collated mid-infrared spectra and peat property measurements from previous studies.
  • Included metadata on sample origin, processing, measurements, and spectral quality indicators (e.g., baseline correction, water vapor contribution).

Main Results:

  • The pmird database comprises 3877 mid-infrared spectra of peat, peat-forming vegetation, and dissolved organic matter.
  • Data includes comprehensive metadata, enhancing usability for various research applications.
  • Sample collection is primarily from northern bogs, with limited representation from other peatland types.

Conclusions:

  • The pmird database serves as a crucial resource for peatland research, enabling advanced analysis of peat properties.
  • Facilitates the development and validation of spectral prediction models for peat characteristics.
  • Promotes the establishment of robust data and metadata standards within the peatland science community.