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Related Concept Videos

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...
IR Spectrum01:19

IR Spectrum

When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0% (complete...

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Related Experiment Video

Updated: May 18, 2026

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
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Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Published on: April 30, 2018

[Research on transient temperature detection by spectrum function variation of speckle pattern interferometry].

Jin-Hui Wu1, Rui-Feng Yang, Gao Wang

  • 1National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China. wujinhui_1234@163.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|September 29, 2012
PubMed
Summary

This study introduces a novel transient temperature inversion algorithm using speckle pattern interferometry for enhanced accuracy. The method analyzes spectrum density changes to achieve a 0.3% detection accuracy, nearly tripling traditional methods.

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Related Experiment Videos

Last Updated: May 18, 2026

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
08:52

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Published on: April 30, 2018

Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Area of Science:

  • Optics and Photonics
  • Materials Science
  • Metrology

Context:

  • Transient temperature detection is crucial in various industrial and scientific applications.
  • Traditional methods for measuring transient temperatures often lack sufficient accuracy and precision.
  • Speckle pattern interferometry offers a non-contact optical method for deformation measurement.

Purpose:

  • To develop and validate a new transient temperature inversion algorithm based on spectrum analysis of speckle pattern interferometry.
  • To improve the accuracy of transient temperature detection systems.
  • To establish a method for relating changes in speckle interference patterns to transient temperature variations.

Summary:

  • A transient temperature inversion algorithm was proposed utilizing spectrum analysis of speckle pattern interferometry.
  • The algorithm analyzes changes in the spectrum density function and center wavelength amplitude caused by temperature-induced material strain.
  • Experimental validation using a 660 nm laser diode and CCD detector achieved a detection accuracy of 0.3%.

Impact:

  • The developed method significantly enhances the accuracy of transient temperature detection, achieving nearly three times the precision of traditional techniques.
  • Provides a foundation for more precise monitoring and control in applications sensitive to temperature fluctuations.
  • Demonstrates the potential of advanced optical interferometry techniques in high-accuracy metrology.