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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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Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

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Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
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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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High-Resolution Mass Spectrometry (HRMS)01:15

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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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Electrospray Ionization (ESI) Mass Spectrometry01:12

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Higher molecular weight biomolecules are nonvolatile compounds that may decompose before ionizing or vaporizing during mass analysis with conventional electron impact ionization methods. Accordingly, electrospray ionization (ESI) is the favored method for vaporizing and ionizing biomolecules as it circumvents rapid fragmentation and enables the recording of mass signals for the entire biomolecule.
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics

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Generalized multiple internal standard method for quantitative liquid chromatography mass spectrometry.

Yuan-Liang Hu1, Zeng-Ping Chen1, Yao Chen1

  • 1State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082 PR China.

Journal of Chromatography. A
|April 14, 2016
PubMed
Summary
This summary is machine-generated.

A new Multiplicative Effects Model for Generalized Multiple-Internal-Standard (MEMGMIS) method addresses liquid chromatography-mass spectrometry (LC-MS) signal instability. This approach enhances analyte quantification by utilizing all internal standard information, improving accuracy over traditional methods.

Keywords:
ColorantGeneralized multiple-Internal-Standard methodLiquid chromatography–mass spectrometryQuantitative analysisSignal instability

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Area of Science:

  • Analytical Chemistry
  • Spectrometry

Background:

  • Liquid chromatography-mass spectrometry (LC-MS) is prone to signal instability over time, complicating accurate quantification.
  • Existing methods using multiple internal standards often require selecting an optimal standard, adding complexity.
  • Accurate quantification of analytes in complex matrices like food and beverages remains a challenge.

Purpose of the Study:

  • To propose a novel Multiplicative Effects Model for Generalized Multiple-Internal-Standard (MEMGMIS) method.
  • To address and overcome the signal instability issue in LC-MS quantitative assays.
  • To develop a method that fully utilizes information from multiple internal standards without requiring optimal selection.

Main Methods:

  • Development of the MEMGMIS, integrating multiple internal standards with multivariate calibration.
  • Application of MEMGMIS to the simultaneous quantitative analysis of five edible artificial colorants.
  • Utilized LC-MS data from calibration samples prepared in ultrapure water for method validation.

Main Results:

  • MEMGMIS models demonstrated satisfactory concentration predictions for colorants in cocktail samples, even 10 days after calibration.
  • The average relative prediction error of MEMGMIS models was below 6.0%.
  • MEMGMIS performance was significantly better than commonly used univariate calibration models with multiple internal standards.

Conclusions:

  • The MEMGMIS method effectively solves the signal instability problem in quantitative LC-MS.
  • MEMGMIS offers a robust and accurate alternative for analyte quantification, leveraging all internal standard data.
  • The model's good performance and simple implementation make it a promising tool for quantitative LC-MS assays.