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Processing the lignocellulosic biomass towards a lignocellulosic biorefinery

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The aim of this program is to develop and integrate our knowledge about the biomass and transformation processes to obtain molecules and products to replace those made from petroleum. We must therefore understand and use, to the best of our advantage, the combined impact of native structures and processes on the resulting assembly properties.

The programme's approach is based on specifications detailing the quality and functions expected of the final product, as well as the optimisation or development of the process that will most effectively combine these criteria of quality and processing capability. 



The programme is structured into three axes that integrate a cross-disciplinary modelling approach


•    1/ the lignocellulosic biomass and questions related to its structure, its variability and its properties, including tools to characterise it   

•    2/ deconstruction of the biomass, its fractionation, its functionalisation,  integrating questions on biological tools (enzymes, microorganisms), the development of processes and their combination   

•    3/ obtaining molecules and functional assemblies, from their identification (which functionalities are looked for) to the prediction of functionalities obtained from biomass/process coupling   

•    a cross-disciplinary "modelling" approach that integrates these three axes to ultimately suggest approaches for rationally obtaining products (molecules or functional assemblies)  

 

The objectives for each of these axes are determined in the short-, medium- and long term.  


Objectives: Biomass axis

  • Short-term: identifying and prioritising structural criteria in relation to processes and the quality produced; two observation scales: cell wall assembly (establishment, interactions, reactivity) + tissue/organ (taking account of the structural heterogeneity) 
  • Medium-term: having access to a model that makes it possible to determine fractionation in relation to the biomass (associating a value and a decision with each criterion) 
  • Long-term: identifying biomass property markers (multi-criteria quality approach) in interaction with INRA's upstream research divisions (Plant Breeding and Genetics, Plant Biology, Forests, Environment and Agronomy, etc.) See the other divisions' websites

 
Objectives: Process axis

  • Short- or medium-term:
  •  
      Priorité 1 Priorité 2 Priorité 3 Priorité 4
    Biological tool Understanding and optimising enzymatic and microbial synergies in relation to cell deconstruction (sequential actions and co-localisation), taking the evolution of the substrate into account   Screening the biodiversity of microorganisms to identify new (planned deconstruction) or more effective (final deconstruction) biological catalysers. This involves a technological challenge: high throughput phenotyping (which tests beyond the glucose and reducing sugars produced?)  
    Combined process   Understanding and optimising effector synergies in combined processes (mechanical, physical, chemical and biological effectors) – structure-property modification leading to different modifications at different scales.  This priority involves the understanding of enzyme behaviour mechanisms in non-conventional environments   4)Understanding the functioning of enzymes in non-conventional environments (heterogeneous catalysis and highly concentrated environments)
    Modelling complex systems and processes
  •  Long-term:
Consolidated bioprocessing (CBP): simultaneous deconstruction and biotransformation


Objectives: Product axis

  •  Short-term: identifying building block molecules and targeted functionalities  
  •  Medium-term: understanding shallowly-studied molecular assembly functionalities and the relationship between the deconstruction scale/assembly and functionality
  •  Long-term: having access to tools to predict functionalities on the basis of a biomass-process coupling   

Choice of representative targeted objects at different deconstruction levels

- An assembly resulting from a planned deconstruction (e.g., lignin-hemicellulose complex)

- A synthon resulting from a forced deconstruction requiring reconstruction for the synthesis of a polymer (e.g., phenolic co-polymer)
 
- A molecule resulting from a forced deconstruction combined with a bioconversion: molecules produced by fermentation-extraction from a substrate (e.g., xylose) 
 

Cross-disciplinary methological development

 

•    Medium-throughput screening: understanding variability, classifying and assessing performances  

Ability of the biomass to be deconstructed 
Efficacy of microorganisms
Properties of molecules and assemblies

•     Structural investigation at different scales: defining structural criteria 

Study of assemblies in situ (spectroscopy, microscopy, molecular modelling)
Taking  into account structural heterogeneity (imagery, 3D modelling, co-localisation)
Targeted deconstruction in order to isolate key structures
 

Objectives: A cross-disciplinary modelling approach for methodological development

  • Medium-term

1. Predicting the properties of molecules from their structure
2. Taking the variability into account
    raw material
    pre-treatment
    acquired knowledge collection procedures, decision-support tools

3. to rationally design deconstruction processes
    from the charateristics of a plant biomass, predicting its deconstruction

Different observations scales
    From local observation to generic decision   
    Relevant observation scales
    A better understanding at the different scales
  • Long-term
-  Design of a virtual biorefinery (Integrating)
        Rationally-designed deconstruction
        Rationally-designed reconstruction
        Reference plants (virtual biomass)

- Multi-objective optimisation for processes and products
 
Writing: MA
Creation date: 26 July 2011
Update: 14 September 2012
Contact: Stéphanie Baumberger, The Jean-Pierre Bourgin Institute INRA - AgropariTech
Xavier Rouau, Emerging Technology and Polymer Engineering INRA - Montpellier SupAgro

stephanie.baumberger@versailles.inra.fr


xavier.rouau@supagro.inra.fr