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Enhancing xanthine oxidase fermentation with pH-shift strategy based on kinetic analysis by Arthrobacter M3
Yuran Zhang1, Hailin Yang, Yu Xin
1The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, 214122, China.
Optimizing xanthine oxidase (XOD) fermentation using a pH-shift strategy significantly boosted production. This method, applied to Arthrobacter M3, achieved high XOD yields by adjusting pH during fermentation.
Area of Science:
- Biotechnology
- Enzyme Production
- Microbial Fermentation
Background:
- Xanthine oxidase (XOD) is an important enzyme with various applications.
- Optimizing fermentation conditions is crucial for maximizing enzyme yield.
- Previous studies identified optimal initial pH and inducer concentration for XOD fermentation.
Purpose of the Study:
- To investigate the effect of initial culture pH and inducer concentration on XOD fermentation.
- To implement and evaluate a pH-shift strategy for enhanced XOD production in batch fermentation.
- To model XOD production and substrate consumption using kinetic equations.
Main Methods:
- Shake flask experiments to determine optimal initial pH (8.6) and inducer concentration (3.6 g/l).
- Batch fermentation of XOD by Arthrobacter M3 in a 7.5-l fermentor under varying pH conditions (7.6-8.6).
- Implementation of a pH-shift strategy: initial pH 8.6, shifted to 7.6 upon reaching 2.0 g/l dry cell weight (DCW).
- Kinetic modeling using the Luedeking-Piret equation for product accumulation and a Luedeking-Piret-like equation for substrate consumption.
Main Results:
- Optimal initial conditions: pH 8.6 and 3.6 g/l inducer concentration.
- The pH-shift strategy significantly enhanced XOD production (7,415.3 U/l) and yield coefficient (1,229.7 U/g) compared to other protocols.
- Luedeking-Piret models accurately described product accumulation (R²=0.977) and substrate consumption (R²=0.992).
Conclusions:
- A pH-shift strategy is highly effective for enhancing xanthine oxidase fermentation in Arthrobacter M3.
- The optimized fermentation process achieved significantly higher XOD yields.
- Kinetic modeling provides a robust framework for understanding and optimizing microbial fermentation processes.
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