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UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

Organic compounds with conjugated double bonds show strong absorption features in the UV–visible region of the electromagnetic spectrum attributed to π → π* electronic excitations. Generally, a UV–vis absorption spectrum is recorded as a plot of absorbance vs wavelength. The wavelength of maximum absorbance, which manifests as a peak in the absorption spectrum, is denoted as λmax.
One of the factors influencing λmax is the extent of conjugation in the...
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given structure by adding the contributions...

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Related Experiment Video

Updated: Jun 28, 2026

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
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Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images.

Jan Długosz1, Phong B Dao1, Wiesław J Staszewski1

  • 1Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, 30-059 Krakow, Poland.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new data conditioning method to improve hyperspectral imaging (HSI) for detecting damage in glass fibre-reinforced plastic (GFRP). The technique enhances accuracy and reliability by correcting for lighting variations in HSI data.

Keywords:
damage detectionglass fibre-reinforced plasticshyperspectral imaging

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Area of Science:

  • Remote Sensing
  • Materials Science
  • Image Processing

Background:

  • Hyperspectral imaging (HSI) is effective for damage detection in glass fibre-reinforced plastic (GFRP).
  • A key limitation of HSI is its sensitivity to varying lighting conditions, impacting real-world data acquisition.
  • Existing vision-based methods struggle with inconsistent illumination during imaging.

Purpose of the Study:

  • To propose and evaluate a novel data conditioning procedure for enhancing HSI-based damage detection in GFRP.
  • To address the challenge of imperfect lighting conditions in hyperspectral data acquisition.
  • To improve the accuracy and robustness of damage detection algorithms for GFRP materials.

Main Methods:

  • A data conditioning procedure based on signal stationarity and cointegration analysis was developed.
  • The method identifies and removes non-stationary trends caused by lighting variations in hyperspectral images.
  • The procedure was tested on a damaged GFRP specimen using hyperspectral imaging.

Main Results:

  • The proposed data conditioning procedure significantly improved accuracy, sensitivity, and F-score for damage detection.
  • Performance enhancements were observed independently of the classification algorithms used.
  • The method effectively mitigated the negative impact of lighting inconsistencies on HSI data.

Conclusions:

  • The developed data conditioning procedure offers a robust solution for improving HSI-based damage detection in GFRP.
  • This technique enhances the reliability of HSI for real-world applications where lighting conditions are variable.
  • The findings suggest a valuable advancement for non-destructive testing and material integrity assessment using hyperspectral imaging.