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ChemSusChem
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
ChemSusChem
Article . 2023
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Lipase‐Catalysed Polymerization of Eutectic Mixtures

Authors: David S. Freitas; Vânia Quesado; Diana Rocha; Jennifer Noro; Madalena Martins; Artur Cavaco‐Paulo; Carla Silva;

Lipase‐Catalysed Polymerization of Eutectic Mixtures

Abstract

AbstractAiming to reduce the toxicity and operational costs often associated to chemical processes, the enzymatic synthesis is applied herein as a sustainable route for producing polyesters. The use of NADES’ (Natural Deep Eutectic Solvents) components as a source of monomers for the synthesis of polymers through lipase‐catalyzed esterification in an anhydrous medium is detailed for the first time. Three NADES composed by glycerol and an organic base, or acid, were used to produce polyesters, through polymerization reactions catalyzed by Aspergillus oryzae lipase. High polyester conversion rates (above 70 %), containing at least 20 monomeric units (glycerol:organic acid/base (1 : 1)), were observed by matrix‐assisted laser desorption/ionization‐time‐of‐flight (MALDI‐TOF) analysis. The NADES monomers′ capacity for polymerization, along with their non‐toxicity, cheap cost, and simplicity of production, sets up these solvents as a greener and cleaner approach for the synthesis of high value‐added products.

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Portugal
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Keywords

Glycerol, enzymatic catalysis, Polyesters, Lipase, polyesters, NADES (natural deep eutectic solvents), natural deep eutectic solvents, Catalysis, Polymerization, polymerization, lipase, Solvents

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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11
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39
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