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Related Concept Videos

IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
3.0K
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.7K
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.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.7K
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

25.8K
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...
25.8K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.2K
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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UV–Vis Spectroscopy: Molecular Electronic Transitions01:16

UV–Vis Spectroscopy: Molecular Electronic Transitions

1.9K
In Ultraviolet–Visible (UV–Vis) spectroscopy, the absorption of electromagnetic radiation is used to probe the electronic structure of molecules. This technique provides insights into molecular electronic transitions, particularly the movement of electrons between different molecular orbitals. Radiation is absorbed if the energy of the electromagnetic radiation passing through the molecule is precisely equal to the energy difference between the excited and ground states. During this...
1.9K
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

1.6K
The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Updated: Sep 23, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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An ensemble variable selection method for vibrational spectroscopic data analysis.

Jixiong Zhang1, Hong Yan1, Yanmei Xiong1

  • 1College of Science, China Agricultural University No. 2, Yuanmingyuanxi Road, Haidian District Beijing 100193 P.R. China minsg@cau.edu.cn +86-010-62733091.

RSC Advances
|May 13, 2022
PubMed
Summary

This study introduces a new ensemble wavelength selection algorithm for vibrational spectroscopy. The method improves pattern recognition and classification model interpretability by selecting stable, informative variables.

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Area of Science:

  • Chemometrics
  • Spectroscopy
  • Machine Learning

Background:

  • Wavelength selection is crucial for pattern recognition in vibrational spectroscopic data.
  • It impacts algorithm generalization and model interpretability.
  • High dimensionality can negatively affect multivariate classification models.

Purpose of the Study:

  • To develop a novel wavelength selection algorithm for vibrational spectroscopic data analysis.
  • To enhance the performance and interpretability of multivariate classification models.
  • To address the challenges posed by high-dimensional spectroscopic data.

Main Methods:

  • Developed a partial least squares discriminant analysis (PLSDA)-based algorithm named ensemble of bootstrapping space shrinkage (EBSS).
  • Utilized random sampling to generate data subsets and weighted bootstrap sampling for feature space determination.
  • Applied ensemble and sequential forward selection strategies to identify characteristic variables.

Main Results:

  • The EBSS algorithm effectively reserves stable and informative variables.
  • Demonstrated improved predictive ability for multivariate classification models.
  • Experimental results on real spectroscopic data validated the algorithm's efficacy.

Conclusions:

  • The proposed ensemble wavelength selection algorithm enhances multivariate classification performance.
  • It provides a robust method for selecting characteristic variables in vibrational spectroscopy.
  • The EBSS algorithm improves both predictive accuracy and model interpretability.