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Related Concept Videos

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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Raman Spectroscopy: Overview01:20

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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...
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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

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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...
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
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Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
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[Baseline Correction Algorithm for Raman Spectroscopy Based on Non-Uniform B-Spline].

Xian-guang Fan, Hai-tao Wang, Xin Wang

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |July 13, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel non-uniform B-spline method for Raman spectroscopy baseline correction, improving accuracy by adaptively fitting spectra. The new algorithm effectively removes fluorescence interference without over or under fitting.

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    Area of Science:

    • Spectroscopy
    • Analytical Chemistry

    Context:

    • Baseline correction is crucial for accurate Raman spectroscopy data processing.
    • Traditional polynomial fitting methods have limitations in flexibility due to uncertain fitting orders.

    Purpose:

    • To introduce and validate a non-uniform B-spline algorithm for improved Raman spectroscopy baseline correction.
    • To overcome the limitations of traditional polynomial fitting methods.

    Summary:

    • A novel non-uniform B-spline method is proposed for Raman spectroscopy baseline correction.
    • The algorithm adaptively fixes the node vector using spectral peak positions for a fixed fitting order.
    • Experimental validation on parathion-methyl and colza oil spectra demonstrated improved baseline correction compared to other methods, with no over or under fitting.

    Impact:

    • Provides a more effective and less parameter-dependent baseline correction technique for Raman spectroscopy.
    • Enhances the accuracy and reliability of spectral data analysis in various applications.
    • Offers a robust alternative to traditional polynomial fitting methods, reducing spectral artifacts.