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Related Concept Videos

Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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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,...
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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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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...
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IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.4K
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...
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IR Spectrometers01:25

IR Spectrometers

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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...
1.2K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.5K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.5K
IR and UV–Vis Spectroscopy of Aldehydes and Ketones01:29

IR and UV–Vis Spectroscopy of Aldehydes and Ketones

5.8K
Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...
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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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Near-Infrared Spectroscopy and Machine Learning for Accurate Dating of Historical Books.

Floriana Coppola1, Luca Frigau2, Jernej Markelj1

  • 1Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, Ljubljana 1000, Slovenia.

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Near-infrared spectroscopy and machine learning accurately date historical books. This non-destructive method predicts publication years within 2 years, revealing key spectral features related to paper composition.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Machine Learning
  • Heritage Science

Background:

  • Accurate, non-destructive dating methods are crucial for heritage objects.
  • Traditional dating methods can be destructive or lack precision.
  • Near-infrared (NIR) spectroscopy offers a potential non-invasive analytical technique.

Purpose of the Study:

  • To evaluate the efficacy of NIR spectroscopy combined with machine learning for dating paper books.
  • To predict publication years for books between 1851 and 2000.
  • To identify key spectral features influencing dating accuracy.

Main Methods:

  • Utilized near-infrared (NIR) spectroscopic data from paper books.
  • Applied three supervised machine learning algorithms for predictive modeling.
  • Analyzed spectral features, focusing on cellulose and protein structures, and decomposition of reducible error.

Main Results:

  • Two machine learning methods achieved unprecedented prediction accuracy, dating books within 2 years.
  • Common spectral features, including C-H, O-H, and N-H stretching overtones, were identified as informative.
  • Book degradation showed no significant impact on prediction accuracy.

Conclusions:

  • NIR spectroscopy coupled with machine learning provides a highly accurate, non-destructive method for dating historical paper documents.
  • The method surpasses existing non-destructive techniques for heritage collections.
  • Identified spectral markers offer insights into material composition and aging relevant to heritage science.