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Long-Term Biocatalyst Performance: Mechanistic Prediction and Continuous Non-Isothermal Testing.

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Two new methods estimate biocatalyst stability faster and cheaper than traditional tests. These approaches accurately predict total turnover number (TTN), crucial for assessing enzyme productivity and lifetime.

Keywords:
TEM-1 β-lactamaselifetime productivitynon-isothermal kineticsoperational stabilitytotal turnover number

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Area of Science:

  • Biocatalysis
  • Enzyme Kinetics
  • Chemical Engineering

Background:

  • Assessing biocatalyst operational stability via total turnover number (TTN) using conventional isothermal experiments is time-consuming and resource-intensive.
  • Stable biocatalysts present particular challenges for accurate TTN determination due to slow deactivation rates.

Purpose of the Study:

  • To develop and validate alternative methods for estimating the TTN of biocatalysts.
  • To provide faster and more efficient alternatives to conventional TTN assessment methods.

Main Methods:

  • A mechanistic approach utilizing enzyme deactivation models derived from first principles, requiring two isothermal batch measurements.
  • A non-isothermal continuous-mode approach using limited experiments and mathematical modeling to identify intrinsic deactivation parameters.

Main Results:

  • Both developed methods provide TTN estimates within a factor of two to five of values obtained from traditional, lengthy isothermal aging tests.
  • Validation was performed using TEM-1 β-lactamase-catalyzed penicillin G hydrolysis.

Conclusions:

  • The mechanistic and non-isothermal continuous methods offer significant advantages over conventional TTN determination.
  • These alternative approaches are valuable for calculating catalyst cost in continuous processing and for efficient screening of biocatalysts for stability.