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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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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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Difference from Background: Limit of Detection01:05

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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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UV–Vis Spectrum

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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.     
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Related Experiment Video

Updated: Dec 28, 2025

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis
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A Normalized Difference Spectral Recognition Index for Azurite Pigment.

Taixia Wu1, Bo Yuan1, Shudong Wang2

  • 1School of Earth Sciences and Engineering, Hohai University, Nanjing, China.

Applied Spectroscopy
|February 20, 2020
PubMed
Summary

A new hyperspectral index, the azurite normalized difference spectral index (ANDSI), effectively detects azurite pigments using less expensive spectral ranges. This method offers a cost-efficient alternative for artifact analysis and restoration.

Keywords:
ANDSIAncient artifactsazuriteazurite normalized difference spectral indexdiscriminationhyperspectral technologynormalized spectral mode

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Area of Science:

  • * Utilizes hyperspectral imaging and spectral analysis for material characterization.
  • * Focuses on remote sensing applications in cultural heritage and art conservation.

Background:

  • * Hyperspectral technology offers nondestructive analysis of mineral pigments in relics.
  • * Key spectral features for mineral pigments are in the expensive 2200-2400 nm range.
  • * A need exists for cost-effective hyperspectral methods using shorter wavelength bands.

Purpose of the Study:

  • * To develop a cost-effective hyperspectral index for detecting azurite.
  • * To identify spectral features in the 400-1500 nm range for azurite discrimination.
  • * To validate the index's effectiveness against common pigments.

Main Methods:

  • * Feature band selection within the 400-1500 nm range.
  • * Development of the azurite normalized difference spectral index (ANDSI) formula.
  • * Discrimination analysis comparing ANDSI values for azurite against 25 other pigments.

Main Results:

  • * The ANDSI was constructed using reflectivity bands at 458, 806, and 1373 nm.
  • * Discrimination values between azurite and other pigments exceeded 0.88.
  • * Values >0.5 indicate successful pigment discrimination.

Conclusions:

  • * The developed ANDSI effectively distinguishes azurite from other common pigments.
  • * This index enables cost-effective azurite detection using shorter spectral bands.
  • * ANDSI shows high application value for nondestructive analysis and restoration of relics.