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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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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...
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

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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 the...

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High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
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Theory of mid-infrared absorption microspectroscopy: II. Heterogeneous samples.

Brynmor J Davis1, P Scott Carney, Rohit Bhargava

  • 1Department of Bioengineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.

Analytical Chemistry
|April 16, 2010
PubMed
Summary

This study presents a new theory to predict how sample structure affects Fourier transform infrared (FT-IR) spectroscopic imaging data. This framework helps understand and correct for sample-induced distortions in IR microscopy.

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Area of Science:

  • Spectroscopy
  • Microscopy
  • Optical Physics

Background:

  • Fourier transform infrared (FT-IR) spectroscopic imaging integrates optical microscopy with vibrational spectroscopy.
  • Data in FT-IR imaging can be influenced by optical setup, sample shape, and material properties.
  • A quantitative model is needed to predict these dependencies.

Purpose of the Study:

  • To develop a theoretical framework for predicting sample-induced optical and spectral distortions in FT-IR spectroscopic imaging.
  • To establish a quantitative understanding of how sample morphology and optical properties influence recorded data.

Main Methods:

  • Combined rigorous coupled wave analysis (RCWA) with models for sampling geometry and sample structure.
  • Systematically explored the interplay of morphology and dispersion using varied sample complexities.
  • Quantified spectral distortions predicted by the model.

Main Results:

  • Developed a theory relating recorded FT-IR imaging data to sample spectral and physical properties.
  • Demonstrated the dependence of detected optical intensity on spatial sample structure.
  • Experimentally validated the theory using a microfabricated photoresist polymer standard.

Conclusions:

  • The developed framework provides a basis for understanding sample-induced distortions in spectroscopic IR microscopy and imaging.
  • Enables more accurate interpretation of FT-IR imaging data from heterogeneous samples.
  • Facilitates the correction of spectral distortions caused by sample morphology.