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Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications

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dc.contributor.author Thobakgale, Setumo L
dc.contributor.author Manoto, Sello L
dc.contributor.author Ombinda-Lemboumba, Saturnin
dc.contributor.author Mthunzi-Kufa, Patience
dc.date.accessioned 2021-04-06T09:05:16Z
dc.date.available 2021-04-06T09:05:16Z
dc.date.issued 2020-05
dc.identifier.citation Thobakgale, S.L., Manoto, S.L., Ombinda-Lemboumba, S. & Mthunzi-Kufa, P. 2020. Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications. http://hdl.handle.net/10204/11945 . en_ZA
dc.identifier.isbn 978-1-51063255-4
dc.identifier.uri https://doi.org/10.1117/12.2546455
dc.identifier.uri https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11246/2546455/Surface-enhanced-raman-spectroscopy-on-polymer-graphene-oxide-scaffolds-for/10.1117/12.2546455.full?SSO=1
dc.identifier.uri http://hdl.handle.net/10204/11945
dc.description.abstract Surface enhanced Raman spectroscopy (SERS) has evolved to be a powerful analytical tool for investigating molecular properties of various types of samples. Literature has shown SERS capabilities in both qualitative and quantitative analysis of biomolecules like proteins and DNA as well as single molecules like antiretroviral medication. Central to its application is the synthesis and use of sensing platforms that enhance signal intensity, sensitivity and detection limits. The most popular approach to make such platforms is through fabricating thin film substrates using a combination of polymers and nanomaterials. In this work, we use the self-assembly method to synthesize graphene oxide based scaffolds in a layer-by-layer fashion and characterize them using SERS. The results show a clear difference in Raman spectral fingerprint for the different layers during the self-assembly steps. Lastly, the intensity ratio between the D and G bands of the graphene layer were calculated to measure the layer thickness which was found to be 0.65, this was comparable to thin layer scaffolds reported in literature. Future work will involve the use of atomic force microscopy to confirm surface morphology and layer thickness, followed by screening of antiretroviral medication. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.source Proceedings volume 11246, Single Molecule Spectroscopy and Superresolution Imaging XIII, SPIE BIOS, San Francisco, California, United States, 1-6 February 2020 en_US
dc.subject Graphene oxide en_US
dc.subject Self assembly method en_US
dc.subject Surface enhanced Raman spectroscopy en_US
dc.title Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications en_US
dc.type Conference Presentation en_US
dc.description.pages 11pp en_US
dc.description.note © 2020 SPIE. Due to copyright restrictions, the attached PDF file contains the abstract of the full-text item. For access to the full-text item, please consult the publisher's website: https://doi.org/10.1117/12.2546455 en_US
dc.description.cluster Manufacturing
dc.description.impactarea Bio-photonics en_US
dc.identifier.apacitation Thobakgale, S. L., Manoto, S. L., Ombinda-Lemboumba, S., & Mthunzi-Kufa, P. (2020). Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications. http://hdl.handle.net/10204/11945 en_ZA
dc.identifier.chicagocitation Thobakgale, Setumo L, Sello L Manoto, Saturnin Ombinda-Lemboumba, and Patience Mthunzi-Kufa. "Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications." <i>Proceedings volume 11246, Single Molecule Spectroscopy and Superresolution Imaging XIII, SPIE BIOS, San Francisco, California, United States, 1-6 February 2020</i> (2020): http://hdl.handle.net/10204/11945 en_ZA
dc.identifier.vancouvercitation Thobakgale SL, Manoto SL, Ombinda-Lemboumba S, Mthunzi-Kufa P, Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications; 2020. http://hdl.handle.net/10204/11945 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Thobakgale, Setumo L AU - Manoto, Sello L AU - Ombinda-Lemboumba, Saturnin AU - Mthunzi-Kufa, Patience AB - Surface enhanced Raman spectroscopy (SERS) has evolved to be a powerful analytical tool for investigating molecular properties of various types of samples. Literature has shown SERS capabilities in both qualitative and quantitative analysis of biomolecules like proteins and DNA as well as single molecules like antiretroviral medication. Central to its application is the synthesis and use of sensing platforms that enhance signal intensity, sensitivity and detection limits. The most popular approach to make such platforms is through fabricating thin film substrates using a combination of polymers and nanomaterials. In this work, we use the self-assembly method to synthesize graphene oxide based scaffolds in a layer-by-layer fashion and characterize them using SERS. The results show a clear difference in Raman spectral fingerprint for the different layers during the self-assembly steps. Lastly, the intensity ratio between the D and G bands of the graphene layer were calculated to measure the layer thickness which was found to be 0.65, this was comparable to thin layer scaffolds reported in literature. Future work will involve the use of atomic force microscopy to confirm surface morphology and layer thickness, followed by screening of antiretroviral medication. DA - 2020-05 DB - ResearchSpace DP - CSIR J1 - Proceedings volume 11246, Single Molecule Spectroscopy and Superresolution Imaging XIII, SPIE BIOS, San Francisco, California, United States, 1-6 February 2020 KW - Graphene oxide KW - Self assembly method KW - Surface enhanced Raman spectroscopy LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-51063255-4 T1 - Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications TI - Surface enhanced raman spectroscopy on polymer-graphene oxide scaffolds for drug screening applications UR - http://hdl.handle.net/10204/11945 ER - en_ZA
dc.identifier.worklist 24029 en_US


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