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Related Concept Videos

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

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

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...
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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...
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,...
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...
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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...
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and the...

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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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[Study on the multicomponent quantitative analysis using near infrared spectroscopy based on building elman model].

Bo-ping Liu1, Hua-jun Qin, Xiang Luo

  • 1College of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 200014, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|March 12, 2008
PubMed
Summary

Near Infrared Spectroscopy (NIRS) combined with an Elman recurrent neural network offers a fast and effective method for quantifying amino acids like phenylalanine, lysine, tyrosine, and cystine in feedstuffs. This approach demonstrates high predictive accuracy for multi-component analysis in feed samples.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Computational Modeling

Context:

  • Quantitative analysis of feedstuffs is crucial for animal nutrition and quality control.
  • Traditional methods for amino acid analysis can be time-consuming and resource-intensive.
  • Near Infrared Spectroscopy (NIRS) offers a rapid, non-destructive analytical technique.

Purpose:

  • To develop and validate an Elman recurrent neural network model for multi-component quantitative analysis of amino acids using NIRS data.
  • To accurately predict the concentrations of phenylalanine (Phe), lysine (Lys), tyrosine (Tyr), and cystine (Cys) in feedstuff samples.

Summary:

  • An Elman prediction model was established using NIRS data from 45 feedstuff samples.
  • Partial Least Squares (PLS) compressed original data into 3 principal components, serving as inputs for the Elman network.
  • The model achieved high predictive correlation coefficients (0.952-0.981) for the targeted amino acids.

Impact:

  • Demonstrates the efficacy of NIRS combined with Elman networks for rapid and accurate amino acid quantification in feedstuffs.
  • Highlights a potential for broader application in the quantitative analysis of various sample types.
  • Provides a faster, more efficient alternative to conventional analytical methods for feed analysis.