Biofuser: Enhancing Fermentation Optimization through Multi source Data Fusion in Biomanufacturing

Biofuser: A Multi-source Data Fusion Platform for Enhancing Fermentation Process Optimization

Introduction:

In the past decade, significant advancements in synthetic biology have significantly outpaced traditional bioprocess optimization techniques, constrning industrial scalability. The integration of sophisticated equipment and sensors into industrial-scale fermentation processes has led to the proliferation of diverse data sources with varying communication protocols and formats. This necessitates innovative methodologies for aggregating and synthesizing these heterogeneous data sets to drive enhanced understanding and optimization efficiency.

Objective:

To address this challenge, we have developed Biofuser - a multi-source fusion platform that collects and processes multi-source heterogeneous data into a standardized format. Biofuser facilitates visualization, advanced analysis, model construction, and automated process control by integrating diverse datasets into a unified interface. Additionally, it supports or deep learning algorithms with the integrated data via its application programming interfaces APIs.

Case Study:

As an exemplar of Biofuser's capabilities, we present a case study on riboflavin fermentation process development. This demonstrates how Biofuser can identify faulty devices, determine critical process parameters, and forecast bioprocess outcomes, thereby illustrating its potential in enhancing fermentation optimization techniques.

Significance:

By significantly advancing the methodologies for integrating complex data from multiple sources, Biofuser is poised to revolutionize bioprocess optimization practices. As an essential infrastructure that bridgeswith biomanufacturing, it promises to drive advancements in intelligent biomanufacturing processes and technologies.

Key Terms: Bioprocess Optimization, Multi-source Heterogeneous Data, Multi-sources Data Fusion, Biofuser, Intelligent Biomanufacturing

Acknowledgment:

The authors would like to ext their gratitude to the State Key Laboratory of Bioreactor Engineering at East China University of Science and Technology for providing the necessary resources and support. They also wish to thank the Tianjin Institute of Industrial Biotechnology under the Chinese Academy of Sciences for additional collaborative efforts.

Contact Information:

Dequan Zhang, School of Biotechnology, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shangh 200237, China.

Jianye Xia, School of Biotechnology, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shangh 200237, China.

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The authors mntn sole responsibility for the content expressed in . The views presented do not necessarily reflect those of their affiliated organizations or Frontiers Media S.A., the publisher. No orsement is given to any product mentioned herein by the manufacturer or publisher.

Copyright ? 2024 Dequan Zhang, Wei Jiang, Jincheng Lou, Xuanzhou Han, and Jianye Xia. All rights reserved under the Creative Commons Attribution License CC BY.

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