Modeling Product Selectivity in Electrocatalytic Carbon Dioxide Reduction Using Scaling Relationships
Modeling Product Selectivity in Electrocatalytic Carbon Dioxide Reduction Using Scaling Relationships
批准号:
10312421
负责人:
Adam J Pearce
金额:
$6.6万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-01 至 2024-07-31
关键词:
Acetyl Coenzyme AAcidsActive SitesAddressAffectAlkanesulfonatesArchaeaAreaBacteriaBioinorganic ChemistryBiological ModelsBiologyBiomassCarbon DioxideCarbon MonoxideCarbon monoxide dehydrogenaseCatalysisChargeChemical IndustryComplexDevelopmentElectrodesElectronicsElectronsElectrostaticsEnvironmentEnzymatic BiochemistryEnzymesFacultyFrequenciesGoalsHybridsHydrogen BondingIn SituIronKineticsKnowledgeLeadLeadershipLigandsMentorshipMetalsMethanolMindModelingMolecularMonitorOutcomeOxalatesOxidoreductaseOxygenPathway interactionsPharmacologic SubstancePhenanthrolinesPropertyReactionReportingResearchResourcesRoleRouteScientistStructural ModelsStructureSurfaceSystemThermodynamicsUniversitiesVariantWood materialWorkWritingcareercatalystcomparativedesignelectric fieldenzyme modelinfrared spectroscopyinsightnext generationpressurereaction ratesample fixationskillsstudent mentoringtheories
中文摘要
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英文摘要
Project Summary
The Wood-Ljungdahl (WL) pathway is a CO2 fixation pathway that relies on two different CO2 reducing
enzymes — formate dehydrogenase (FDH) and carbon monoxide dehydrogenase (CODH) — to ultimately
convert CO2 to biomass through formate and carbon monoxide. Biology has successfully evolved catalysts for
the reactions in the WL-pathway that feature remarkable activity and selectivity that is envied by the
pharmaceutical and commodity chemicals industries, where the efficient utilization of CO2 as a C1 building block
is desirable. Despite this, attempts to design structural models of these enzymes for homogenous electrocatalytic
CO2 reduction have been unsuccessful. A more comprehensive understanding of the enzymes found in the WL-
pathway and the design of better CO2 reduction catalysts will require a better understanding of how the intrinsic
properties — reduction potential (E1/2) of the catalyst , pKa and concentration of acid, and degree of intermediate
stabilization by secondary sphere effects — direct product selectivity.
In order to better understand how the properties of these enzymes lead to disparate selectivity, molecular
“thermodynamic-kinetic scaling relationships” for the electrochemical CO2 reduction reaction (CO2RR) will be
developed. “Scaling relationships” are defined as a correlation between thermodynamic variables with kinetic
outcomes such as turnover frequency or selectivity. These scaling relationships will be used to determine how
perturbations to tunable thermodynamic variables (catalyst E1/2, acid pKa, etc.) affect selectivity outcomes.
Monitoring the selectivity as a function of these variables will enable the building of a selectivity model. In
addition, we will determine how secondary sphere effects alter the selectivity through hydrogen bonding and
electrostatic interactions in analogy to similar effects found in enzyme active sites. Last, we aim to address how
electric fields — which are increasingly implicated in enzymatic mechanisms of action — alter the selectivity of
CO2RR through the study of hybrid electrodes featuring an anchored molecular CO2 reduction catalyst.
Prof. Mayer and Yale University have provided an excellent environment to not only conduct my proposed
research but to grow as a scientist. The research I am proposing to conduct under the mentorship of Prof. Mayer
will give me the knowledge to address a wide range of complex problems. During my burgeoning postdoctoral
tenure, I am continuing to develop my professional skills by communicating my work through presentations and
writing, and to continue mentoring students as I've done throughout my career but with a new perspective.
Additionally, Yale University has surrounded me with faculty that are knowledgeable in many of the areas I aim
to be. For example, Prof. Patrick Holland's incredible reputation for ligand design and Prof. Sharon Hammes–
Schiffer's leadership in PCET theory will undoubtedly be beneficial resources for my proposed molecular CO2
electroreduction. Under the guidance of Prof. Mayer and Yale University, I will continue to develop my identity
as an independent scientist.
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Modeling Product Selectivity in Electrocatalytic Carbon Dioxide Reduction Using Scaling Relationships
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批准号:10462533
-
项目类别:
-
资助金额:$5.87万
-
财政年份:2021
-
负责人:Adam J Pearce
-
依托单位:
国内基金
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