ArticleBeilstein journal of organic chemistry2013
Flow synthesis of phenylserine using threonine aldolase immobilized on Eupergit support.
Article in Beilstein journal of organic chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 25 citations in OpenAlex.
- Biocatalysis in Continuous-Flow Microfluidic Reactors.Advances in biochemical engineering/biotechnology · 2022Article
- Threonine aldolases: perspectives in engineering and screening the enzymes with enhanced substrate and stereo specificities.Applied microbiology and biotechnology · 2016Review
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6 authors at 1 institution in 1 country.
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Abstract
Threonine aldolase (TA) from Thermotoga maritima was immobilized on an Eupergit support by both a direct and an indirect method. The incubation time for the direct immobilization method was optimized for the highest amount of enzyme on the support. By introducing the immobilized TA in a packed-bed microreactor, a flow synthesis of phenylserine was developed, and the effects of temperature and residence time were studied in particular. Calculations of the Damköhler number revealed that no mass transfer limitations are given in the micro-interstices of the packed bed. The yield does not exceed 40% and can be rationalized by the natural equilibrium as well as product inhibition which was experimentally proven. The flow synthesis with the immobilized enzyme was compared with the corresponding transformation conducted with the free enzyme. The product yield was further improved by operating under slug flow conditions which is related to the very short residence time distribution. In all cases 20% diastereomeric excess (de) and 99% enantiomeric excess (ee) were observed. A continuous run of the reactant solution was carried out for 10 hours in order to check enzyme stability at higher temperature. Stable operation was achieved at 20 minute residence time. Finally, the productivity of the reactor was calculated, extrapolated to parallel run units, and compared with data collected previously.
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