Trends and Latest Developments in Industrial Biotechnology

Open Access

Year : 2023 | Volume : | : | Page : –
By

Anjali Mishra1 , Tarun Verma2

  1. Student Department of Industrial Biotechnology, Ashok and Rita Patel Institute of Integrated Studies and Research in Biotechnology and Applied Sciences Gujarat India

Abstract

Microbial fermentations are used to produce a variety of goods in a sustainable manner. Because of the growing trend in the food industry toward plant-based foods and meat and dairy product substitutes, microbial fermentation will play an increasingly important role in this sector, as it will enable the production of valuable foods and food ingredients in a sustainable and scalable manner. Microbial fermentation will also be employed to improve and expand the production of environmentally friendly chemicals and natural items. New firms that translate academic research into breakthrough processes and products using cutting-edge technologies will account for a large portion of this market expansion. Here, we look at current innovation and technological trends and offer advice on how to start and expand a company in industrial biotechnology.

Keywords: Fermentation, industrial, biotechnology, trends, development, engineering, discoveries

How to cite this article: Anjali Mishra1 , Tarun Verma2. Trends and Latest Developments in Industrial Biotechnology. International Journal of Industrial Biotechnology and Biomaterials. 2023; ():-.
How to cite this URL: Anjali Mishra1 , Tarun Verma2. Trends and Latest Developments in Industrial Biotechnology. International Journal of Industrial Biotechnology and Biomaterials. 2023; ():-. Available from: https://journals.stmjournals.com/ijibb/article=2023/view=89769

Full Text PDF Download

References

1. Nielsen J. Yeast systems biology: model organism and cell factory. Biotechnol J. 2019; 14 (9): e1800421.
2. Mingtao H, Jichen B, Jens Ni. Biopharmaceutical protein production by Saccharomyces cerevisiae: current state and future prospects. Pharm Bioprocess. 2014; 2: 167–182.
3. Nielsen, J. Production of biopharmaceuticals proteins byyeast Bioengineered. 2013; 4 (4): 207–211.
4. Macklin DN, Ahn-Horst TA, Choi H, et al. Simultaneous cross-evaluation of heterogenous E. coli datasets via mechanistic simulation. Science. 2020; 369: eaav3751.
5. Francesca DB, Carl M, Cate C, et al. Absolute yeast mitochondrial proteome quantification reveals trade-off between biosynthesis and energy generation during diauxic shift. Proc Natl. Acad Sci. U. S. A. 2020; 117: 7524–7535.
6. Edward JOB, Joshua AL, Roger LC, et al. Genome-scale models of metabolism and gene expression extend and refine growth phenotype prediction Mol Syst Biol. 2013;9:693.
7. Lu H, Li F, Sánchez BJ, et al. A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism. Nat. Commun. 2019;10:3586.
8. Yu C, Feiran L, Jens N. (2022) Genome-scale modeling of yeast metabolism: retrospectives and perspectives. FEMS Yeast Res. 2022; 22: foac003.
9. De Jong E. Bio-Based Chemicals: A 2020 Update. IEA Bioenergy. 2020.
10. Verified Market Research. Global Bio-based Materials Market Size by Type, by Application, by Geographic Scope and Forecast. Verified Market Research. 2021.
11. Nielsen J, Keasling J. Synergies between synthetic biology and metabolic engineering. Nat. Biotechnol. 2011; 29: 693–695.
12. Nielsen J. Engineering synergy in biotechnology. Nat Chem Biol. 2014; 10: 319–322.
13. Liu Z, Wang J, Nielson J. Yeast synthetic biology advances biofuel production. Curr. Opin. Microbiol. 2022; 65: 33–39.
14. Hillson N, Caddick M, Cai Y. Building a global alliance of biofoundries. Nat. Commun. 2019; 10: 2040.
15. Philip J. A Roundup of Bioeconomy Work at DSTI, OECD. 2022.
16. Vickers CE, Freemont PS. Pandemic preparedness: synthetic biology and publicly funded biofoundries can rapidly accelerate response time. Nat. Commun. 2022; 13: 453.
17. Yu R., Campbell K, Pereira R, et al. Nitrogen limitation reveals large reserves in metabolic and translational capacities of yeast. Nature communications. 2020; 11(1): 1881.
18. Schmidt A, Kochanowski K, Vedelaar S, et al. The quantitative and condition-dependent Escherichia coli proteome. Nat Biotechnol. 2016; 34: 104–110 Lu H, Kerkhoven EJ, Nielsen J. Multiscale models quantifying yeast physiology: towards a whole-cell model. Trends Biotechnol. 2022; 40 (3): 291–305.
19. Yu C, Nielsen J. Energy metabolism controls phenotypes by protein efficiency and allocation. Proc. Natl. Acad. Sci. U.S.A. 2019; 116: 17592–17597.
20. Malina C, Rosemary Y, Johan B, et al. Adaptations in metabolism and protein translation give rise to the Crabtree effect in yeast. Proc. Natl. Acad. Sci. U.S.A. 2021; 118: e2112836118.


Open Access Article
Volume
Received May 9, 2022
Accepted May 27, 2022
Published January 7, 2023