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Related Concept Videos

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Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
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Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
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Moisture Content and Bulking of Aggregate01:10

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The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
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IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

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A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
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Infrared spectroscopy is primarily used to determine the types of bonds and functional groups. In carboxylic acid derivatives, a typical carbonyl bond absorption is observed around 1650–1850 cm−1. For esters, the absorption is recorded at around 1740 cm−1, while acid halides show the absorption at about 1800 cm−1. Another acid derivative, the acid anhydrides, exhibit two carbonyl absorption around 1760 cm−1 and 1820 cm−1, arising from the symmetrical and...
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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Related Experiment Video

Updated: Dec 10, 2025

Improving Infrared Spectroscopy Characterization of Soil Organic Matter with Spectral Subtractions
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Prediction of the Soil Organic Matter (SOM) Content from Moist Soil Using Synchronous Two-Dimensional Correlation

Shifang Wang1,2,3, Xu Cheng1,4, Decong Zheng1

  • 1College of Agricultural Engineering, Shanxi Agricultural University, Taigu 030801, China.

Sensors (Basel, Switzerland)
|August 30, 2020
PubMed
Summary

This study introduces a spectroscopic method using 2D correlation spectroscopy (2D-COS) to accurately predict soil organic matter (SOM) in moist soil. The technique effectively separates water and SOM spectral signals, improving prediction accuracy.

Keywords:
moisture effectpartial least square regressionsoilsoil organic matterspectral variable selectiontwo-dimensional correlation spectroscopyvisible-near infrared spectroscopy

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Last Updated: Dec 10, 2025

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Area of Science:

  • Soil Science
  • Spectroscopy
  • Chemometrics

Background:

  • Accurate soil organic matter (SOM) prediction is crucial for soil management.
  • Visible-near infrared (Vis-NIR) spectroscopy is hindered by water absorption bands overlapping with SOM features.
  • Existing methods struggle with spectral interferences in moist soil samples.

Purpose of the Study:

  • To develop a spectroscopic technique for reliable SOM prediction in moist soils.
  • To address spectral interferences caused by water absorption using 2D correlation spectroscopy (2D-COS).
  • To improve the accuracy of SOM content prediction by differentiating moisture and SOM spectral contributions.

Main Methods:

  • Application of synchronous 2D correlation spectroscopy (2D-COS) to analyze spectral data from moist soils.
  • Sequential correlogram analysis to independently perturb moisture and SOM variables.
  • Identification of characteristic SOM and water absorption bands using 2D-COS.
  • Development of partial least square regression (PLSR) models using selected spectral bands.

Main Results:

  • 2D-COS successfully resolved overlapping spectral features of water and SOM.
  • Key SOM-related bands were identified at 597 nm, 1646 nm, and 2138 nm.
  • PLSR models built after removing water absorption bands achieved a determination coefficient of prediction (Rp²) of 0.92 and a ratio of prediction to deviation (RPD) of 3.19.
  • The optimized method showed a ~5% improvement in prediction accuracy compared to using all spectral bands.

Conclusions:

  • Synchronous 2D-COS is an effective technique for analyzing complex spectral interferences in moist soil.
  • The developed spectroscopic method significantly enhances the accuracy of soil organic matter prediction.
  • This approach offers a robust solution for soil analysis in the presence of moisture variations.