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Related Concept Videos

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
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Aromatic compounds can be identified or analyzed using proton NMR and carbon‐13 NMR. Typically, aromatic hydrogens or hydrogens directly bonded to the aromatic rings are strongly deshielded by the aromatic ring current. Therefore, they absorb in the range of 6.5–8.0 ppm in proton NMR spectra. For instance, aromatic hydrogens directly bonded to the benzene ring absorb at 7.3 ppm. However, aromatic hydrogens of larger rings absorb farther upfield or downfield than the ideal range.
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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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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¹³C NMR: ¹H–¹³C Decoupling01:04

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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
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Related Experiment Video

Updated: Mar 3, 2026

Addressing Practical Issues in Atomic Force Microscopy-Based Micro-Indentation on Human Articular Cartilage Explants
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A constituent-based preprocessing approach for characterising cartilage using NIR absorbance measurements.

Cameron P Brown1,2, Minsi Chen3

  • 1Botnar Research Centre, NDORMS, University of Oxford, Old Road, Oxford OX3 7LD, UK.

Biomedical Physics & Engineering Express
|May 2, 2017
PubMed
Summary

Near-infrared spectroscopy data is simplified using a novel Beer's Law technique. This method enhances analysis of biological tissues, improving classification accuracy for conditions like cartilage degradation.

Keywords:
cartilagenear infrared spectroscopyosteoarthritis

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Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • Biomaterials Science

Background:

  • Near-infrared spectroscopy (NIRS) is crucial for biological tissue characterization.
  • High dimensionality of spectral data poses significant analytical challenges.
  • Developing dimensionality reduction techniques is vital for NIRS applications.

Purpose of the Study:

  • To present a second-derivative Beer's Law-based technique for NIRS data.
  • To project spectral data into a lower-dimensional feature space.
  • To provide a physically-based input for predictive modeling in tissue analysis.

Main Methods:

  • Applied a second-derivative Beer's Law approach to NIRS data.
  • Projected spectral data onto a reduced dimensionality feature space.
  • Utilized linear fitting and Mahalanobis distance for analysis.

Main Results:

  • Demonstrated clear visual separation between normal and enzymatically degraded bovine cartilage samples.
  • Predicted reduced concentrations of proteoglycan and collagen post-degradation.
  • Observed increased water concentration and achieved high classification accuracy ([Formula: see text]) between groups.

Conclusions:

  • The developed technique effectively reduces dimensionality of NIRS data.
  • Physically-based feature extraction improves tissue analysis and classification.
  • This method shows promise for characterizing biological tissue states, such as degradation.