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Related Concept Videos

Capillary Electrophoresis: Applications01:30

Capillary Electrophoresis: Applications

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Capillary electrophoretic separations offer various modes, each with unique applications. These modes include capillary zone electrophoresis, capillary gel electrophoresis, capillary array electrophoresis, capillary isoelectric focusing, capillary isotachophoresis, micellar electrokinetic chromatography, and capillary electrochromatography.
Capillary zone electrophoresis (CZE) separates ionic components based on their electrophoretic mobility. It has been used to separate proteins, amino acids,...
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Capillary Electrophoresis: Instrumentation01:20

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Capillary electrophoresis instrumentation typically consists of several key components. A high-voltage power supply generates the electric field necessary for the separation by connecting to an anode (the positively charged electrode) and a cathode (the negatively charged electrode) located in buffer reservoirs at each end of the capillary tube. The system includes a sample vial, a fused silica capillary tube coated with polyimide for mechanical strength through which the sample components...
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Electrophoresis: Overview01:20

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Electrophoresis is a powerful analytical separation technique that relies on the differential migration of charged species when subjected to an electric field. The core strength of electrophoresis lies in its ability to separate high-molecular-weight species in complex mixtures. It has found widespread use in biochemistry, molecular biology, and analytical chemistry, allowing the separation of compounds like amino acids, nucleotides, carbohydrates, and proteins with excellent resolution.
There...
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Using Variable Data-Independent Acquisition for Capillary Electrophoresis-Based Untargeted Metabolomics.

Saki Kiuchi1, Yasuhiro Otoguro2, Tomoaki Nitta2

  • 1Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan.

Journal of the American Society for Mass Spectrometry
|August 13, 2024
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Variable data-independent acquisition (vDIA) with capillary electrophoresis-tandem mass spectrometry (CE-MS/MS) improves metabolic profiling by enhancing spectral quality and annotation rates. This optimized platform accurately identifies metabolites, including novel ones, in complex biological samples.

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Area of Science:

  • Analytical Chemistry
  • Metabolomics
  • Biochemistry

Background:

  • Capillary electrophoresis coupled with tandem mass spectrometry (CE-MS/MS) offers high peak capacity and sensitivity for metabolic profiling.
  • Data-independent acquisition (DIA) in MS/MS has limitations in analytical chemistry and informatics for optimal metabolic profiling.
  • Existing DIA methods lack standardized procedures, hindering comprehensive metabolic analysis.

Purpose of the Study:

  • To assess and compare the mass spectral quality of all-ion fragmentation (AIF) and variable DIA (vDIA) techniques in CE-MS/MS.
  • To develop and validate an optimized informatics framework for enhanced metabolic profiling using CE-MS/MS.
  • To investigate metabolic alterations in lipopolysaccharide (LPS)-induced macrophages using the developed platform.

Main Methods:

  • Evaluated AIF and vDIA techniques for precursor ion isolation (60-800 Da) and assessed spectral quality and annotation rates.
  • Implemented a linear migration time (MT) correction method using internal standards for accurate peak alignment.
  • Utilized MS-DIAL, MS-FINDER, and a molecular spectrum network for data analysis, peak annotation, and in silico structure elucidation.

Main Results:

  • vDIA, combined with the MS-DIAL algorithm, demonstrated superior spectral matching scores and annotation rates compared to AIF.
  • The MT correction method achieved less than 0.1 min MT drifts, comparable to reverse-phase liquid chromatography.
  • A large-scale MT prediction (469,870 compounds) achieved <1.5 min root mean square accuracy; 170 metabolites were characterized in LPS-induced macrophages, including newly identified glycinamide ribonucleotide.

Conclusions:

  • The optimized CE-MS/MS with vDIA and advanced computational tools provides a robust platform for high-throughput metabolic profiling.
  • This approach enhances metabolite identification accuracy and enables the characterization of previously unannotated or novel compounds.
  • The study highlights the potential of CE-MS/MS-DIA and computational mass spectrometry for advancing metabolomics research.