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Related Concept Videos

UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

8.1K
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...
8.1K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.8K
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...
1.8K
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

27.9K
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...
27.9K
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

6.4K
Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
6.4K
UV–Vis Spectrum01:30

UV–Vis Spectrum

1.9K
When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
1.9K
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

4.3K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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Related Experiment Video

Updated: Dec 27, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

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Enriching absorption features for hyperspectral materials identification.

Baofeng Guo

    Optics Express
    |March 4, 2020
    PubMed
    Summary

    This study introduces new parameters and an orientation descriptor for hyperspectral material identification. The novel approach enhances identification accuracy by quantitatively analyzing spectral absorption features.

    Area of Science:

    • Spectroscopy
    • Material Science
    • Computer Vision

    Background:

    • Hyperspectral imaging leverages unique spectral fingerprints for material identification.
    • Traditional methods often rely solely on absorption location, limiting quantitative analysis.

    Purpose of the Study:

    • To develop a novel method for hyperspectral material identification using quantitative absorption parameters and shape descriptors.
    • To improve the discriminatory ability and accuracy of material identification through information fusion.

    Main Methods:

    • Extraction of quantitative real-valued parameters from spectral absorption valleys.
    • Design of an orientation descriptor for characterizing hyperspectral absorption shape.
    • Information fusion of absorption parameters and orientation descriptor for enhanced identification.

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    Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping
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    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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    Related Experiment Videos

    Last Updated: Dec 27, 2025

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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    Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping
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    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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    Main Results:

    • Demonstrated effectiveness on two hyperspectral datasets (ASD sensor and AVIRIS).
    • Achieved increased material identification accuracy compared to two classical approaches.
    • Quantitative characterization of spectral absorption details without human intervention.

    Conclusions:

    • The proposed method significantly improves hyperspectral material identification accuracy.
    • Combining quantitative absorption parameters and orientation descriptors offers superior discriminatory power.
    • This approach provides a robust and automated solution for material identification in hyperspectral imaging.