post doctorate proposal 2017 - csc-centrale -...

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Post Doctorate Proposal 2017 School: CentraleSupélec Laboratory: LGPM Web site: www.lgpm.ecp.fr Name of the supervisor: Patrick PERRE Email: [email protected] Expected duration (< 24 M): 24 months Location: Gif-sur-Yvette (20 km south of Paris) Title: Multiscale modeling of the enzymatic attack of lignocellulosic biomass for biofuel production Scientific field: Applied mathematics, biophysics, biochemistry Key words: Second generation biofuel, volume averaging, high performance computation Details for the subject: Background, Context: The main objective of the pretreatment of biomass, a key step in the production of second-generation biofuel, is to increase the availability of polysaccharides for enzymes to attack (Sun and Cheng 2002; Alvira et al. 2010; Pingali et al. 2010). To obtain a relevant pretreatment, the operating conditions of the process should insure a good compromise between the initial characteristics of the biomass, the kinetics of its degradation during the cooking phase (acidic hydrolysis), and the efficiency of the subsequent enzymatic treatment. Following a prototype developed to measure viscoelastic properties of wood under saturated conditions up to 130°C (Placet et al., 2008), our laboratory (LGPM) developed an original device able to continuously measure the viscoelastic properties of lignocellulosic biomass during acidic cooking up to 190°C (Mokdad et al. 2017). Additional works are in progress in our team to objectively rely the evolution of viscoelastic properties during hydrolysis to chemical modifications (production of saccharides and polysaccharides as well as the production of inhibitors to enzymatic attack such as furfural). As expected, acetic acid and C-5 sugars are mainly produced during acidic cooking, with a small amount of C-6 sugars and potential inhibitors for enzymatic attack such as furfural. The next step is to follow the enzymatic attack of samples with various cooking conditions of well-known pre- treatment. This experimental work is part of a PhD project. The present post-doctoral position intends to conduct a comprehensive modelling work able to predict the kinetics of enzymatic attack as a function of the molecular alteration during pretreatment. Research subject, work plan: The project aims at developing a multiscale and mulitphysics modelling approach of the enzymatic attack of pre-treated lignocellulosic biomass. The model to be developed should be close enough to the real structure of the secondary cell wall (Fig. 1) to have a predictive potential. In particular, we expect the model to be able to account for the size of particles and to the alteration of the macromolecular structure due to the pre- treatment, including inhibitors.

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Post Doctorate Proposal 2017

School: CentraleSupélec

Laboratory: LGPM Web site: www.lgpm.ecp.fr

Name of the supervisor: Patrick PERRE Email: [email protected]

Expected duration (< 24 M): 24 months Location: Gif-sur-Yvette (20 km south of Paris)

Title: Multiscale modeling of the enzymatic attack of lignocellulosic biomass for biofuel production

Scientific field: Applied mathematics, biophysics, biochemistry

Key words: Second generation biofuel, volume averaging, high performance computation

Details for the subject:

Background,Context:

Themainobjectiveofthepretreatmentofbiomass,akeystepintheproductionofsecond-generationbiofuel,istoincreasetheavailabilityofpolysaccharidesforenzymestoattack(SunandCheng2002;Alviraetal.2010;Pingalietal.2010).Toobtainarelevantpretreatment,theoperatingconditionsoftheprocessshouldinsureagoodcompromisebetweentheinitialcharacteristicsofthebiomass,thekineticsofitsdegradationduringthecookingphase(acidichydrolysis),andtheefficiencyofthesubsequentenzymatictreatment.Followingaprototypedevelopedtomeasureviscoelasticpropertiesofwoodundersaturatedconditionsupto130°C(Placetetal.,2008),our laboratory(LGPM)developedanoriginaldeviceabletocontinuouslymeasuretheviscoelasticpropertiesof lignocellulosicbiomassduringacidiccookingupto190°C (Mokdadetal.2017).Additionalworksareinprogressinourteamtoobjectivelyrelytheevolutionofviscoelasticpropertiesduringhydrolysistochemicalmodifications(productionofsaccharidesandpolysaccharidesaswellastheproductionofinhibitorstoenzymaticattacksuchasfurfural).Asexpected,aceticacidandC-5sugarsaremainlyproducedduringacidiccooking,withasmallamountofC-6sugarsandpotentialinhibitorsforenzymaticattacksuchasfurfural.Thenextstepistofollowtheenzymaticattackofsampleswithvariouscookingconditionsofwell-knownpre-treatment. This experimental work is part of a PhD project. The present post-doctoral position intends toconductacomprehensivemodellingworkabletopredictthekineticsofenzymaticattackasafunctionofthemolecularalterationduringpretreatment.

Researchsubject,workplan:

Theprojectaimsatdevelopingamultiscaleandmulitphysicsmodellingapproachof theenzymaticattackofpre-treatedlignocellulosicbiomass.Themodeltobedevelopedshouldbecloseenoughtotherealstructureofthesecondarycellwall(Fig.1)tohaveapredictivepotential.Inparticular,weexpectthemodeltobeabletoaccount for the size of particles and to the alteration of the macromolecular structure due to the pre-treatment,includinginhibitors.

Theproblemisbynaturemultiscale(exchangesbetweentheliquidandsolidphases,effectoftheparticlesize,thicknessofthecellwallandheterogeneousstructureofthecellwall).Asseveralphysicalphenomenaco-existduring enzymatic attack (mobility of enzymes in a heterogeneous medium, enzymatic activity of cellulose,diffusionofsugars,time-evolutionofcell-wallmorphology),theproblemisthereforealsomultiphysics.

Fig.1–Molecularstructureofthesecondarywallofplants(afterLanganetal.GreenChemistry,2013)

Forthischallengingprojectinadomainofgreatinterestregardingsustainabledevelopment,wearelookingfora talented and motivated candidate with excellent skills in modelling (formulation aspects) and simulation(developmentofcustomcomputationalcodesorgoodcommandofopen-sourcemultiphysicssoftwares).Thepotential candidate should also have good skills in communication andmust be prone to teamwork, as theprojectshouldadvanceincloserelationwithscientistsinchargeoftheexperimentalwork.The selected candidatewill evolve in aworld-class teamwith balanced skills and extensive facilities in bothexperimentandHPC(seereferencesbelow).

References:

1. Alvira, P., Tomás-Pejó, E., Ballesteros, M., and Negro, M.J., 2010 - Pretreatment technologies for an efficientbioethanolproductionprocessbasedonenzymatichydrolysis:areview,BioresourceTechnol.101:4851-4861.

2. CarrE.,Turner I.,PerréP.,2013 -Adual-scalemodelingapproach fordryinghygroscopicporousmedia,MultiscaleModeling&Simulation,11:362-384.

3. Carr E., Perré P., Turner I., 2016 - The extended distributedmicrostructuremodel for gradient-driven transport: Atwo-scalemodelforbypassingeffectiveparameters,J.ComputationalPhysics,327:810-829.

4. CavagnolS.,SanzE.,NastollW.,Roesler J.F.,ZymlaV.,PerréP.,2013- Inverseanalysisofwoodpyrolysiswith longresidencetimesinthetemperaturerange210to290°C:selectionofmulti-stepkineticsmodelsbasedonmasslossresidues,ThermochimicaActa,574:1-9.

5. Mokdad S. A., Casalinho J., Almeida G., Perré P. 2017 - Assessment of biomass alterations during hydrothermalpretreatmentbyin-situdynamicmechanicalanalysis,BiomassandBioenergy,underreview.

6. PerréP.,2010-Multiscalemodellingofdryingasapowerfulextensionofthemacroscopicapproach:applicationtosolidwoodandbiomassprocessing,DryingTechnology,28:944-959.

7. Perré P., RémondR., Turner I.W., 2013 - A comprehensive dual-scalewood torrefactionmodel: application to theanalysisofthermalrun-awayinindustrialheattreatmentprocesses,Int.J.HeatMassTransfer,64:838-849.

8. Pingali,S.V.,Urban,V.S.,Heller,W.T.,McGaughey,J.,O’Neill,H.,Foston,M.,Evans,B.R.,2010-Breakdownofcellwallnanostructureindiluteacidpretreatedbiomass.Biomacromolecules,11,2329-2335.

9. Placet V., Passard J., Perré P., 2008 - Viscoelastic properties of wood across the grain measured under water-saturatedconditionsupto135°C:evidenceofthermaldegradation,J.Mater.Sci.,43:3210–3217.

10. Sun, Y., and Cheng, J., 2002 - Hydrolysis of lignocellulosicmaterials for ethanol production: a review.Bioresourcetechnology,83(1),1-11.