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Updated: Jun 23, 2025

Reporter-based Growth Assay for Systematic Analysis of Protein Degradation
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Systems and Methods for Transformation and Degradation Analysis.

Jude A Osara1, Michael D Bryant2,3

  • 1Surface Technology and Tribology, Department of Mechanics of Solids, Surfaces and Systems, University of Twente, 7522 NB Enschede, The Netherlands.

Entropy (Basel, Switzerland)
|June 26, 2024
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Summary
This summary is machine-generated.

This study introduces a new theorem combining Phenomenological Entropy Generation (PEG) and Degradation-Entropy Generation (DEG) for system analysis. This universal PEG theorem offers accurate, consistent results for diverse applications, improving system design and maintenance.

Keywords:
DEGPEGTPEGagingdegradation analysisdegradation thermodynamicsentropy generationhyperplanesecond lawsystems analysistemperaturetrajectorytransformation analysistransformation thermodynamics

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Area of Science:

  • Thermodynamics
  • System Analysis
  • Materials Science

Background:

  • Irreversible thermodynamics provides a framework for analyzing system transformation and degradation.
  • Existing methods may lack the multi-disciplinary and multi-scale capabilities for comprehensive system characterization.

Purpose of the Study:

  • To introduce and validate a novel theorem combining Phenomenological Entropy Generation (PEG) and Degradation-Entropy Generation (DEG).
  • To demonstrate the theorem's applicability across various systems and processes for enhanced analysis.

Main Methods:

  • Integration of the Phenomenological Entropy Generation (PEG) theorem with the Degradation-Entropy Generation (DEG) theorem.
  • Development of a transformation-PEG theorem and space for system and process definition.
  • Application and validation of the combined theorems across diverse case studies.

Main Results:

  • Near-100% accurate and consistent results achieved in diverse applications.
  • Demonstrated practicality and predictive power of the combined PEG and DEG theorems.
  • Successful application to frictional wear, grease aging, battery thermal runaway, metal fatigue, and pump flow.

Conclusions:

  • The universal PEG theorem, combined with DEG, provides a powerful tool for system characterization.
  • The methodology enables accurate analysis, prognostics, diagnostics, and optimization.
  • This integrated approach enhances system design and maintenance strategies across multiple disciplines.