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What is Metabolism?00:52

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The use of enzymes by humans dates to 7000 BCE. Humans first used enzymes to ferment sugars and produce alcohol without knowing that this was an enzyme-catalyzed reaction. Wilhelm Kuhne coined the term 'enzyme' in 1877 from the Greek words ‘en’ meaning ‘in’ or ‘within’ and ‘zyme’ meaning ‘yeast.’
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Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
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Updated: Oct 7, 2025

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
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Metabolite discovery: Biochemistry's scientific driver.

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|January 5, 2022
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Identifying new metabolites is crucial for biochemistry. Advanced techniques like mass spectrometry and artificial intelligence are improving metabolite characterization, advancing the field of metabolomics.

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artificial intelligencebiochemistrymass spectrometrymetabolitesnuclear magnetic resonancestructureunknowns

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Area of Science:

  • Biochemistry
  • Metabolomics
  • Analytical Chemistry

Background:

  • Metabolite identification is a significant challenge in biochemistry.
  • Historical methods like crystallography and NMR spectroscopy have limitations due to material requirements.
  • Metabolomics has emerged as a foundational field for understanding metabolism.

Purpose of the Study:

  • To describe the challenge of metabolite identification.
  • To review historical approaches to metabolite characterization.
  • To explore current and future metabolomics strategies for addressing this challenge.

Main Methods:

  • Review of established techniques (crystallography, NMR spectroscopy).
  • Emphasis on mass spectrometry coupled with separation technologies.
  • Integration of informatics, database solutions, and artificial intelligence.

Main Results:

  • Mass spectrometry offers significant advantages for metabolite analysis.
  • Artificial intelligence is rapidly advancing metabolite characterization capabilities.
  • Current and future metabolomics approaches are crucial for resolving complex metabolic pathways.

Conclusions:

  • Metabolite characterization remains a key hurdle in biochemical research.
  • Technological advancements, particularly in mass spectrometry and AI, are critical.
  • The evolution of metabolomics is essential for future biochemical discoveries.