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Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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Multienzymatic cascades for environmentally sustainable processes

Authors: Guillén, Marina; Bonet-Ragel, Kírian; Álvaro, Gregorio; González, Gloria; Caminal, Gloria; Casablancas, Antoni; Romero, Oscar;

Multienzymatic cascades for environmentally sustainable processes

Abstract

The design and implementation of sustainable processes, which are not dependent on fossilfuels, represents a significant challenge in the coming years [1]. However, biocatalytic processesbased on one enzymatic step limit the potential range of molecules that can be produced. Aclear trend is emerging towards the development of new and sophisticated biocatalyticcascades, which will replace single-step enzymatic transformations, allowing a cost-effectiveproduction of complex molecules while expanding the range of compounds that can beenzymatically obtained. However, further progress is required to industrially implement thesesystems such as improvements in process metrics, robustness and flexibility. In addition, areduction in the biocatalysts production costs is also required to enhance the techno-economicfeasibility of the processes. The group of Bioprocess Engineering and Applied Biocatalysis aims to address thesechallenges through the economic and sustainability-oriented design, preparation, andimplementation of biocatalysts. This goal is achieved through the implementation of anintegrated and multidisciplinary approach, involving the production, thepurification/immobilization of enzymes in a single step [2], as well as the design of self-sufficient biocatalysts for their use in enzymatic reactors.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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