From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology
The Valley of Death confronts industrial biotechnology with a significant challenge to the commercialization of products. Fortunately, with the integration of computation, automation and artificial intelligence (AI) technology, the industrial biotechnology accelerates to cross the Valley of Death. T...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/6/744 |
| _version_ | 1827738557490397184 |
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| author | Xueting Wang Ali Mohsin Yifei Sun Chao Li Yingping Zhuang Guan Wang |
| author_facet | Xueting Wang Ali Mohsin Yifei Sun Chao Li Yingping Zhuang Guan Wang |
| author_sort | Xueting Wang |
| collection | DOAJ |
| description | The Valley of Death confronts industrial biotechnology with a significant challenge to the commercialization of products. Fortunately, with the integration of computation, automation and artificial intelligence (AI) technology, the industrial biotechnology accelerates to cross the Valley of Death. The Fourth Industrial Revolution (Industry 4.0) has spurred advanced development of intelligent biomanufacturing, which has evolved the industrial structures in line with the worldwide trend. To achieve this, intelligent biomanufacturing can be structured into three main parts that comprise digitalization, modeling and intellectualization, with modeling forming a crucial link between the other two components. This paper provides an overview of mechanistic models, data-driven models and their applications in bioprocess development. We provide a detailed elaboration of the hybrid model and its applications in bioprocess engineering, including strain design, process control and optimization, as well as bioreactor scale-up. Finally, the challenges and opportunities of biomanufacturing towards Industry 4.0 are also discussed. |
| first_indexed | 2024-03-11T02:46:01Z |
| format | Article |
| id | doaj.art-b89b1f8ca5324234aa217ac0a88cbc9b |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T02:46:01Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-b89b1f8ca5324234aa217ac0a88cbc9b2023-11-18T09:22:08ZengMDPI AGBioengineering2306-53542023-06-0110674410.3390/bioengineering10060744From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial BiotechnologyXueting Wang0Ali Mohsin1Yifei Sun2Chao Li3Yingping Zhuang4Guan Wang5State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, ChinaState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, ChinaKey Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology (ECUST), Shanghai 200237, ChinaState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, ChinaState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, ChinaState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, ChinaThe Valley of Death confronts industrial biotechnology with a significant challenge to the commercialization of products. Fortunately, with the integration of computation, automation and artificial intelligence (AI) technology, the industrial biotechnology accelerates to cross the Valley of Death. The Fourth Industrial Revolution (Industry 4.0) has spurred advanced development of intelligent biomanufacturing, which has evolved the industrial structures in line with the worldwide trend. To achieve this, intelligent biomanufacturing can be structured into three main parts that comprise digitalization, modeling and intellectualization, with modeling forming a crucial link between the other two components. This paper provides an overview of mechanistic models, data-driven models and their applications in bioprocess development. We provide a detailed elaboration of the hybrid model and its applications in bioprocess engineering, including strain design, process control and optimization, as well as bioreactor scale-up. Finally, the challenges and opportunities of biomanufacturing towards Industry 4.0 are also discussed.https://www.mdpi.com/2306-5354/10/6/744bioeconomyhybrid modelingintelligent biomanufacturingmachine learningindustrial biotechnologymechanistic model |
| spellingShingle | Xueting Wang Ali Mohsin Yifei Sun Chao Li Yingping Zhuang Guan Wang From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology Bioengineering bioeconomy hybrid modeling intelligent biomanufacturing machine learning industrial biotechnology mechanistic model |
| title | From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology |
| title_full | From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology |
| title_fullStr | From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology |
| title_full_unstemmed | From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology |
| title_short | From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology |
| title_sort | from spatial temporal multiscale modeling to application bridging the valley of death in industrial biotechnology |
| topic | bioeconomy hybrid modeling intelligent biomanufacturing machine learning industrial biotechnology mechanistic model |
| url | https://www.mdpi.com/2306-5354/10/6/744 |
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