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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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. Samples for...
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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...
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

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 electronic transitions. As a result...
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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Updated: Jun 23, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

[Spectral wavelength selection based on PLS projection analysis].

Tu-Nan Dan1, Lian-Kui Dai

  • 1State Key Lab of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|May 19, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel wavelength selection method using PLS projection correlation coefficients to improve spectral analysis accuracy and reduce data input. The method significantly enhances model robustness and reduces input variables, as demonstrated with gasoline samples.

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Area of Science:

  • Chemometrics
  • Spectroscopy
  • Data Analysis

Context:

  • Spectral analysis models often require large datasets, impacting prediction accuracy and computational efficiency.
  • Traditional wavelength selection methods can lack robustness and fail to significantly reduce input dimensions.

Purpose:

  • To develop a simple, rapid, and robust wavelength selection method for spectral analysis.
  • To enhance prediction accuracy and reduce the number of input variables in chemometric models.

Summary:

  • A new method utilizing Partial Least Squares (PLS) projection correlation coefficients was developed.
  • This method considers spectral data changes and PLS regression coefficients for effective wavelength selection.
  • Application to gasoline samples demonstrated a reduction in input wavelengths to 30% and improved prediction accuracy (RMSE reduced from 0.44 to 0.34).

Impact:

  • Significantly reduces the number of input variables for spectral quantitative analysis.
  • Improves the robustness and prediction accuracy of spectral analysis models.
  • Offers a broadly applicable technique for wavelength selection and data compression in spectroscopy.