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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and the...
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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 stretching vibration...
IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

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...

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Related Experiment Video

Updated: Jun 2, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

[A spectral wavelength selection algorithm based on RMSECV curve].

Yan Zhou1, Hui Cao, Lin-Cang Ju

  • 1School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China. yan.zhou@mail.xjtu.edu.cn

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|April 23, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for wavelength selection using partial least squares (PLS) regression. It improves prediction accuracy and model conciseness by iteratively removing uninformative wavelengths.

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Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
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Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
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Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing

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Area of Science:

  • Chemometrics
  • Spectroscopy Analysis

Context:

  • Wavelength selection is crucial for building accurate chemometric models.
  • Existing methods may not be optimal for complex spectral data.

Purpose:

  • To develop a novel algorithm for efficient wavelength selection.
  • To enhance the accuracy and conciseness of partial least squares (PLS) models.

Summary:

  • A new algorithm utilizes PLS regression coefficients and Root-Mean-Squares Error of Cross-Validation (RMSECV) for iterative wavelength selection.
  • Uninformative wavelengths are removed to improve model prediction accuracy.
  • The algorithm was validated using Raman spectra data from a hydrogenation process.

Impact:

  • The proposed algorithm offers a more accurate and concise model compared to existing methods.
  • Facilitates improved data analysis in spectroscopic applications.
  • Contributes to the advancement of chemometric modeling techniques.