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      Biocatalysis and biomass conversion: enabling a circular economy

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          Abstract

          This paper is based on a lecture presented to the Royal Society in London on 24 June 2019. Two of the grand societal and technological challenges of the twenty-first century are the ‘greening' of chemicals manufacture and the ongoing transition to a sustainable, carbon neutral economy based on renewable biomass as the raw material, a so-called bio-based economy. These challenges are motivated by the need to eliminate environmental degradation and mitigate climate change. In a bio-based economy, ideally waste biomass, particularly agricultural and forestry residues and food supply chain waste, are converted to liquid fuels, commodity chemicals and biopolymers using clean, catalytic processes. Biocatalysis has the right credentials to achieve this goal. Enzymes are biocompatible, biodegradable and essentially non-hazardous. Additionally, they are derived from inexpensive renewable resources which are readily available and not subject to the large price fluctuations which undermine the long-term commercial viability of scarce precious metal catalysts. Thanks to spectacular advances in molecular biology the landscape of biocatalysis has dramatically changed in the last two decades. Developments in (meta)genomics in combination with ‘big data’ analysis have revolutionized new enzyme discovery and developments in protein engineering by directed evolution have enabled dramatic improvements in their performance. These developments have their confluence in the bio-based circular economy.

          This article is part of a discussion meeting issue ‘Science to enable the circular economy'.

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          Most cited references12

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          Can Machine Learning Revolutionize Directed Evolution of Selective Enzymes?

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            Valorization of food waste based on its composition through the concept of biorefinery

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              Is Open Access

              Furan‐Based Copolyesters from Renewable Resources: Enzymatic Synthesis and Properties

              Abstract Enzymatic polymerization provides an excellent opportunity for the conversion of renewable resources into polymeric materials in an effective and sustainable manner. A series of furan‐based copolyesters was synthesized with M w ‾ up to 35 kg mol−1, by using Novozyme 435 as a biocatalyst and dimethyl 2,5‐furandicarboxylate (DMFDCA), 2,5‐bis(hydroxymethyl)furan (BHMF), aliphatic linear diols, and diacid ethyl esters as monomers. The synthetic mechanism was evaluated by the variation of aliphatic linear monomers and their feed compositions. Interestingly, there was a significant decrease in the molecular weight if the aliphatic monomers were changed from diols to diacid ethyl esters. The obtained copolyesters were thoroughly characterized and compared with their polyester analogs. These findings provide a closer insight into the application of enzymatic polymerization techniques in designing sustainable high‐performance polymers.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
                Phil. Trans. R. Soc. A.
                The Royal Society
                1364-503X
                1471-2962
                July 24 2020
                July 06 2020
                July 24 2020
                : 378
                : 2176
                : 20190274
                Affiliations
                [1 ]Molecular Sciences Institute, School of Chemistry, University of the Witwatersrand, P O Wits 2050, Johannesburg, South Africa
                [2 ]Department of Biotechnology, Section BOC, Delft University of Technology, van der Maasweg 9, 2629 HZ, Delft, The Netherlands
                Article
                10.1098/rsta.2019.0274
                11a33a80-f6b4-4a9e-8dbc-3ff244405143
                © 2020

                https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdf

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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