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Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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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...
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Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

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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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UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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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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Related Experiment Video

Updated: Feb 27, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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A Fully Customized Baseline Removal Framework for Spectroscopic Applications.

Stephen Giguere1, Thomas Boucher1, C J Carey1

  • 11 College of Information and Computer Science, University of Massachusetts, Amherst, MA.

Applied Spectroscopy
|July 1, 2017
PubMed
Summary
This summary is machine-generated.

Custom Baseline Removal (Custom BLR) creates new spectroscopic algorithms by combining existing methods. This approach optimizes data analysis, improving accuracy in applications like near-infrared and laser-induced breakdown spectroscopy.

Keywords:
Baseline removalLIBSRaman spectroscopyVNIRlaser-induced breakdown spectroscopyvery near-infrared spectroscopy

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Area of Science:

  • Spectroscopy
  • Chemometrics
  • Data Analysis

Background:

  • Baseline removal is crucial in spectroscopy for accurate feature analysis.
  • Current methods often rely on default parameters or are application-specific.
  • Lack of generalizability limits the effectiveness of existing baseline correction techniques.

Purpose of the Study:

  • To develop a generalized method for baseline removal in spectroscopy.
  • To create novel algorithms tailored to specific spectroscopic techniques and datasets.
  • To enhance the predictive accuracy of spectroscopic models through automated baseline correction.

Main Methods:

  • The Custom Baseline Removal (Custom BLR) method combines operations from existing algorithms.
  • Novel algorithms are synthesized for each specific technique, application, and training set.
  • The method discovers algorithms that maximize predictive accuracy of spectroscopic models.

Main Results:

  • Custom BLR methods achieve performance matching or exceeding existing alternatives.
  • Demonstrated success in near-infrared spectroscopy (corn), laser-induced breakdown spectroscopy (rocks), and Raman spectroscopy (minerals).
  • The learned methods significantly improve quantification and classification tasks.

Conclusions:

  • Custom BLR offers a significant advancement toward automatic and general baseline removal.
  • The method reduces subjectivity in data preprocessing for spectroscopy.
  • Applicable to various spectroscopic fields and potentially other data analysis domains.