• Login
    View Item 
    •   Home
    • Theses and Dissertations
    • MS Theses
    • View Item
    •   Home
    • Theses and Dissertations
    • MS Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Enzymatic Cascade for Conversion of CO$_2$ to Methanol

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    MS Thesis-Final_Lera Shepard.pdf
    Size:
    15.11Mb
    Format:
    PDF
    Description:
    MS Thesis
    Download
    Type
    Thesis
    Authors
    Shepard, Lera cc
    Advisors
    Rueping, Magnus cc
    Committee members
    Arold, Stefan T. cc
    Bau, Jeremy
    Program
    Bioscience
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    Date
    2021-11
    Embargo End Date
    2022-12-01
    Permanent link to this record
    http://hdl.handle.net/10754/673878
    
    Metadata
    Show full item record
    Access Restrictions
    At the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis will become available to the public after the expiration of the embargo on 2022-12-01.
    Abstract
    Emissions of CO$_2$ largely contribute to global warming. Carbon dioxide can be captured and used to produce value-added chemicals. This thesis focuses on bioelectrocatalysis as a green and sustainable approach. Our aim was to perform conversion of CO$_2$ to methanol via a multi-enzymatic cascade. However, for reactions involving oxidoreductases, ß-NAD is required as a cofactor. Its use in stoichiometric amounts is unprofitable. We address the issue by employing electrochemical regeneration of the cofactor. For the cascade, we expressed and purified formate dehydrogenase, formaldehyde dehydrogenase and alcohol dehydrogenase. Enzymes activity was tested and found to be low for two enzymes. A reliable method to detect methanol via headspace gas chromatography with a flame ionization detector was developed. We tested the cascade with employed in situ electrochemical cofactor regeneration. After two and a half hours of the reaction 4 µmol methanol were detected. Further research is needed to optimize the setup.
    Citation
    Shepard, L. (2021). Enzymatic Cascade for Conversion of CO$_2$ to Methanol. KAUST Research Repository. https://doi.org/10.25781/KAUST-GO133
    DOI
    10.25781/KAUST-GO133
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-GO133
    Scopus Count
    Collections
    Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; MS Theses

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.