Literature DB >> 20172020

Reactor design for minimizing product inhibition during enzymatic lignocellulose hydrolysis: II. Quantification of inhibition and suitability of membrane reactors.

Pavle Andrić1, Anne S Meyer, Peter A Jensen, Kim Dam-Johansen.   

Abstract

Product inhibition of cellulolytic enzymes affects the efficiency of the biocatalytic conversion of lignocellulosic biomass to ethanol and other valuable products. New strategies that focus on reactor designs encompassing product removal, notably glucose removal, during enzymatic cellulose conversion are required for alleviation of glucose product inhibition. Supported by numerous calculations this review assesses the quantitative aspects of glucose product inhibition on enzyme-catalyzed cellulose degradation rates. The significance of glucose product inhibition on dimensioning of different ideal reactor types, i.e. batch, continuous stirred, and plug-flow, is illustrated quantitatively by modeling different extents of cellulose conversion at different reaction conditions. The main operational challenges of membrane reactors for lignocellulose conversion are highlighted. Key membrane reactor features, including system set-up, dilution rate, glucose output profile, and the problem of cellobiose are examined to illustrate the quantitative significance of the glucose product inhibition and the total glucose concentration on the cellulolytic conversion rate. Comprehensive overviews of the available literature data for glucose removal by membranes and for cellulose enzyme stability in membrane reactors are given. The treatise clearly shows that membrane reactors allowing continuous, complete, glucose removal during enzymatic cellulose hydrolysis, can provide for both higher cellulose hydrolysis rates and higher enzyme usage efficiency (kg(product)/kg(enzyme)). Current membrane reactor designs are however not feasible for large scale operations. The report emphasizes that the industrial realization of cellulosic ethanol requires more focus on the operational feasibility within the different hydrolysis reactor designs, notably for membrane reactors, to achieve efficient enzyme-catalyzed cellulose degradation. (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20172020     DOI: 10.1016/j.biotechadv.2010.02.005

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  14 in total

1.  Using an artificial neural network to predict the optimal conditions for enzymatic hydrolysis of apple pomace.

Authors:  Repson Gama; J Susan Van Dyk; Mike H Burton; Brett I Pletschke
Journal:  3 Biotech       Date:  2017-06-08       Impact factor: 2.406

2.  Biochemical and Structural Characterizations of Two Dictyostelium Cellobiohydrolases from the Amoebozoa Kingdom Reveal a High Level of Conservation between Distant Phylogenetic Trees of Life.

Authors:  Sarah E Hobdey; Brandon C Knott; Majid Haddad Momeni; Larry E Taylor; Anna S Borisova; Kara K Podkaminer; Todd A VanderWall; Michael E Himmel; Stephen R Decker; Gregg T Beckham; Jerry Ståhlberg
Journal:  Appl Environ Microbiol       Date:  2016-05-16       Impact factor: 4.792

3.  Activating Intrinsic Carbohydrate-Active Enzymes of the Smut Fungus Ustilago maydis for the Degradation of Plant Cell Wall Components.

Authors:  Elena Geiser; Michèle Reindl; Lars M Blank; Michael Feldbrügge; Nick Wierckx; Kerstin Schipper
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

4.  Insertion of a xylanase in xylose binding protein results in a xylose-stimulated xylanase.

Authors:  Lucas Ferreira Ribeiro; Nathan Nicholes; Jennifer Tullman; Liliane Fraga Costa Ribeiro; Carlos Alessandro Fuzo; Davi Serradella Vieira; Gilvan Pessoa Furtado; Marc Ostermeier; Richard John Ward
Journal:  Biotechnol Biofuels       Date:  2015-08-15       Impact factor: 6.040

5.  Product inhibition of cellulases studied with 14C-labeled cellulose substrates.

Authors:  Hele Teugjas; Priit Väljamäe
Journal:  Biotechnol Biofuels       Date:  2013-07-24       Impact factor: 6.040

6.  Selecting β-glucosidases to support cellulases in cellulose saccharification.

Authors:  Hele Teugjas; Priit Väljamäe
Journal:  Biotechnol Biofuels       Date:  2013-07-24       Impact factor: 6.040

7.  Phylogenomically guided identification of industrially relevant GH1 β-glucosidases through DNA synthesis and nanostructure-initiator mass spectrometry.

Authors:  Richard A Heins; Xiaoliang Cheng; Sangeeta Nath; Kai Deng; Benjamin P Bowen; Dylan C Chivian; Supratim Datta; Gregory D Friedland; Patrik D'Haeseleer; Dongying Wu; Mary Tran-Gyamfi; Chessa S Scullin; Seema Singh; Weibing Shi; Matthew G Hamilton; Matthew L Bendall; Alexander Sczyrba; John Thompson; Taya Feldman; Joel M Guenther; John M Gladden; Jan-Fang Cheng; Paul D Adams; Edward M Rubin; Blake A Simmons; Kenneth L Sale; Trent R Northen; Samuel Deutsch
Journal:  ACS Chem Biol       Date:  2014-07-17       Impact factor: 5.100

8.  A xylose-stimulated xylanase-xylose binding protein chimera created by random nonhomologous recombination.

Authors:  Lucas Ferreira Ribeiro; Jennifer Tullman; Nathan Nicholes; Sérgio Ruschi Bergamachi Silva; Davi Serradella Vieira; Marc Ostermeier; Richard John Ward
Journal:  Biotechnol Biofuels       Date:  2016-06-06       Impact factor: 6.040

9.  A General Model for Biofilm-Driven Microbial Electrosynthesis of Carboxylates From CO2.

Authors:  Oriol Cabau-Peinado; Adrie J J Straathof; Ludovic Jourdin
Journal:  Front Microbiol       Date:  2021-06-04       Impact factor: 5.640

10.  Enzymatic lignocellulose hydrolysis: Improved cellulase productivity by insoluble solids recycling.

Authors:  Noah Weiss; Johan Börjesson; Lars Saaby Pedersen; Anne S Meyer
Journal:  Biotechnol Biofuels       Date:  2013-01-21       Impact factor: 6.040

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