Continuous enzymatic synthesis of polycaprolactone in packed bed reactor using pressurized fluids-Reference-Cited by-同舟云学术

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Continuous enzymatic synthesis of polycaprolactone in packed bed reactor using pressurized fluids

Published:2018-01 Issue: Volume:175 Page:139-147
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Veneral Josamaique G.,de Oliveira Débora,Ferreira Sandra R.S.,Oliveira J. Vladimir

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference48 articles.

1. Recent developments in enzyme-catalyzed ring-opening polymerization;Albertsson;Adv. Drug Deliv. Rev.,2008

2. Phase behaviour of binary systems of lactones in carbon dioxide;Bender;J. Chem. Thermodyn.,2010

3. Phase behaviour of the ternary system {poly(e-caprolactone) + carbon dioxide + dichloromethane};Bender;J. Chem. Thermodyn.,2010

4. Enzyme-Catalyzed Polymerization of End-Functionalized Polymers in a Microreactor;Bhangale;Macromolecules,2012

5. Determination of poly(-caprolactone) solubility parameters: application to solvent substitution in a microencapsulation process;Bordes;Int. J. Pharm.,2010

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1. Continuous flow ring-opening polymerization and ring-opening metathesis polymerization;European Polymer Journal;2024-08

2. Microreactor-Based Green Synthetic Platform for Flow Synthesis of Biodegradable Polymers;Industrial & Engineering Chemistry Research;2024-05-23

3. High-pressure phase equilibrium data for the binary system carbon dioxide and ε-caprolactone;Fluid Phase Equilibria;2023-11

4. Phase equilibrium determination of the binary system globalide + pressured propane: Experiments and thermodynamic modeling;Fluid Phase Equilibria;2023-10

5. Prediction of Polycaprolactone Molecular Weight Synthesized via Enzymatic Polymerization Process: Comparing Training Algorithms of Artificial Neural Network Modeling;Process Integration and Optimization for Sustainability;2022-03-22

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