Abstract
In this paper, we present a method to construct and query the spectrum (>15,000) of potential biomass-derived compounds that can be synthesized using heterogeneous catalysis. Specifically, it involves the construction of an exhaustive network of reactions using RING, a rule-based network generator that we have developed, to identify potentially synthesizable compounds from biomass. Subsequently, we: (a) employ quantitative structure-property relationships to query compounds with desired properties, (b) seek different synthesis routes to these compounds, and (c) evaluate these routes in terms of stoichiometric, energetics, and physical parameters such as atom efficiency, enthalpy and free energy change of reactions, and aqueous-organic partition coefficients (Log. P) of intermediates. Thermochemistry and Log. P are both estimated using group additivity methods, and all property estimations are performed on-the-fly during network generation. We present this method in context of identifying and evaluating heterogeneous catalytic routes from biomass to fatty alcohols that are potential constituents of nonionic surfactants. We also show that group additivity-based estimates of enthalpy of reaction are accurate to within 10. kJ/mol and Log. P values reliably predict the relative hydrophobicity of compounds. This method is generic, flexible, reliable and fast in terms of the scope of chemistry that can be considered, properties that can be included, predictive accuracy, and speed of execution; it can, therefore, be used to rapidly screen a large spectrum of compounds and synthesis routes in biomass conversion.
Original language | English (US) |
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Pages (from-to) | 149-160 |
Number of pages | 12 |
Journal | Applied Catalysis B: Environmental |
Volume | 145 |
DOIs | |
State | Published - Feb 2014 |
Bibliographical note
Funding Information:The authors would like to thank Chintamani Siddeshwar, Department of Computer Science and Engineering, University of Minnesota for help with developing the framework for interconnecting Openbabel, MOPAC, and RING. Financial support from the Initiative for Renewable Energy (Large Grant: RL-0004-09 ) at the University of Minnesota , the National Science Foundation Emerging Frontiers in Research and Innovation program, grant # 0937706 , DTI award from the Digital Technology Center at the University of Minnesota , and The Dow Chemical Company is gratefully acknowledged.
Keywords
- Group additivity based thermochemistry
- Identification of synthesis routes to form fatty alcohols from biomass
- Network generation
- QSPR-based property estimation of nonionic surfactants
- Synthesis pathways identification