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Related Experiment Video

Updated: Jul 13, 2026

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

A new kinetic approach to microbial storage process.

Bing-Jie Ni¹, Han-Qing Yu

¹Laboratory of Environmental Biotechnology, School of Chemistry, University of Science and Technology of China, Hefei 230026, China.

Applied Microbiology and Biotechnology

|August 19, 2007

Summary

This study introduces a new kinetic model for microbial growth and storage in activated sludge, accurately describing intracellular storage product formation and utilization. The model links storage to energy generation and respiration, improving understanding of microbial processes.

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Published on: April 22, 2016

Area of Science:

Environmental microbiology
Biochemical engineering
Wastewater treatment

Background:

Microbial growth and substrate consumption are key in activated sludge processes.
Intracellular storage products (X(STO)) play a crucial role in microbial metabolism.
Existing models may not fully capture the dynamics of X(STO) formation and utilization.

Purpose of the Study:

To develop and validate a new kinetic model for microbial growth, substrate consumption, and X(STO) dynamics in activated sludge.
To elucidate the relationship between X(STO) formation, energy generation, and respiration.
To quantify key kinetic parameters for microbial growth on X(STO).

Main Methods:

Proposed a novel kinetic approach to model microbial processes.
Investigated the coupling between X(STO) formation, energy generation, and respiration.
Estimated maximum growth rate and yield coefficient for growth on X(STO).
Validated the model using experimental data from pure and mixed cultures.

Main Results:

X(STO) formation was found to be coupled with energy generation and respiration.
The rate of X(STO) formation is proportional to the substrate utilization rate.
High substrate levels promote rapid storage, with a significant portion of electrons directed to X(STO) formation.
Estimated maximum growth rate (0.12 h⁻¹) and yield coefficient (0.60 g COD(X)/g COD(STO)) for growth on X(STO).

Conclusions:

The developed kinetic model accurately and mechanistically describes microbial storage processes in activated sludge.
The model provides valuable insights into the role of intracellular storage products in microbial metabolism and activated sludge performance.
This approach enhances the understanding and prediction of microbial behavior in wastewater treatment.