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Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Mass Spectrometry: Overview01:19

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Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Mass Spectrometers01:16

Mass Spectrometers

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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
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High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

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The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
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Functional and Parametric Estimation in a Semi- and Nonparametric Model with Application to Mass-Spectrometry Data.

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    This study introduces a novel semi- and nonparametric model for mass spectrometry data analysis. The method effectively estimates both parametric and nonparametric components, showing promise for cancer research.

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    Area of Science:

    • Biostatistics
    • Computational Biology
    • Analytical Chemistry

    Background:

    • Mass spectrometry generates complex data requiring advanced statistical models.
    • Existing methods may not fully capture both individual variations and common patterns in spectral data.

    Purpose of the Study:

    • To develop a novel semi- and nonparametric statistical model for mass spectrometry data.
    • To simultaneously estimate parametric (location, scale) and nonparametric (shape) components.
    • To validate the model's performance using simulations and real-world data.

    Main Methods:

    • Proposed a model with linear parametric components and a nonparametric regression function.
    • Developed a multi-step estimation approach for simultaneous parameter and function estimation.
    • Investigated theoretical properties including consistency and asymptotic normality for parametric parts.

    Main Results:

    • The proposed method achieves optimal convergence rates for the nonparametric component.
    • Simulation studies confirm the method's effectiveness and good finite-sample performance.
    • The model was successfully applied to SELDI-TOF mass spectrometry data from liver cancer patients.

    Conclusions:

    • The novel semi- and nonparametric model offers a robust approach for mass spectrometry data analysis.
    • The method provides accurate estimation for both parametric and nonparametric features.
    • This approach has practical implications for biomarker discovery in diseases like liver cancer.