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Arshi S, Madane K, Shortall K, Hailo G, Alvarez-Malmagro J, Xiao X, Szymanńska K, Belochapkine S, Ranade VV, Magner E. Controlled Delivery of H 2O 2: A Three-Enzyme Cascade Flow Reactor for Peroxidase-Catalyzed Reactions. ACS SUSTAINABLE CHEMISTRY & ENGINEERING 2024; 12:10555-10566. [PMID: 39027729 PMCID: PMC11253098 DOI: 10.1021/acssuschemeng.4c03220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/05/2024] [Accepted: 06/07/2024] [Indexed: 07/20/2024]
Abstract
Peroxidases are promising catalysts for oxidation reactions, yet their practical utility has been hindered by the fact that they require hydrogen peroxide (H2O2), which at high concentrations can cause deactivation of enzymes. Practical processes involving the use of peroxidases require the frequent addition of low concentrations of H2O2. In situ generation of H2O2 can be achieved using oxidase-type enzymes. In this study, a three-enzyme cascade system comprised of a H2O2 generator (glucose oxidase (GOx)), H2O2-dependent enzymes (chloroperoxidase (CPO) or horseradish peroxidase (HRP)), and a H2O2 scavenger (catalase (CAT)) was deployed in a flow reactor. Immobilization of the enzymes on a graphite rod was achieved through electrochemically driven physical adsorption, followed by cross-linking with glutaraldehyde. Modeling studies indicated that the flow in the reactor was laminar (Reynolds number, R e < 2000) and was nearly fully developed at the midplane of the annular reactor. Immobilized CAT and GOx displayed good stability, retaining 79% and 84% of their initial activity, respectively, after three cycles of operation. Conversely, immobilized CPO exhibited a considerable reduction in activity after one use, retaining only 30% of its initial activity. The GOx-CAT-GRE system enabled controlled delivery of H2O2 in a more stable manner with a 4-fold enhancement in the oxidation of indole compared to the direct addition of H2O2. Using CPO in solution coupled with GOx-CAT-GRE yields of 90% for the oxidation of indole to 2-oxyindole and of 93% and 91% for the chlorination of thymol and carvacrol, respectively.
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Affiliation(s)
- Simin Arshi
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Ketan Madane
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Kim Shortall
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Goran Hailo
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Julia Alvarez-Malmagro
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Xinxin Xiao
- Department
of Chemistry, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Katarzyna Szymanńska
- Department
of Chemical Engineering and Process Design, Silesian University of Technology, Gliwice 44-100, Poland
| | - Serguei Belochapkine
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Vivek V. Ranade
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
| | - Edmond Magner
- Department
of Chemical Sciences, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland
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Wang X, Mohsin A, Sun Y, Li C, Zhuang Y, Wang G. From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology. Bioengineering (Basel) 2023; 10:744. [PMID: 37370675 DOI: 10.3390/bioengineering10060744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/13/2023] [Accepted: 06/19/2023] [Indexed: 06/29/2023] Open
Abstract
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.
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Affiliation(s)
- Xueting Wang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China
| | - Ali Mohsin
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China
| | - Yifei Sun
- Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology (ECUST), Shanghai 200237, China
| | - Chao Li
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China
| | - Yingping Zhuang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China
| | - Guan Wang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China
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Chen H, Yi XG, Zhang XB, Luo ZH. CFD-PBM Simulation and Scale-Up of the Pilot-Scale Bioreactor. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c02817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Hao Chen
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai200240, P. R. China
| | - Xiu-Guang Yi
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji’an, Jiangxi343009, P. R. China
| | - Xi-Bao Zhang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai200240, P. R. China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai200240, P. R. China
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Experimental and numerical study on the bubble dynamics and flow field of a swirl flow microbubble generator with baffle internals. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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