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  1. AU="Roenkov, Alexander D"
  2. AU="Badami, Ami"
  3. AU="Zhang, Xian-Zheng"
  4. AU="Lima, Yan"
  5. AU=Patzelt Thomas
  6. AU="Kang, Diana D"
  7. AU=Rikitake Yoshiyuki
  8. AU=Shikhman Rachel
  9. AU="Wake, David B"
  10. AU="Morphett, Kylie"
  11. AU="Kullmann, Tamás"
  12. AU="Lindner-Liaw, Maia"
  13. AU="Lupien, Andréanne"
  14. AU="Boberg, Julie"
  15. AU="Zhou, Youfei"
  16. AU="Li, Jonathan Lingwood Daniel Schmidt Aaron G."
  17. AU="Chang-Qing Deng" AU="Chang-Qing Deng"

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  1. Artikel: Quality Assessment of Processed Graphene Chips for Biosensor Application.

    Shmidt, Natalia M / Shabunina, Evgeniya I / Gushchina, Ekaterina V / Petrov, Vasiliy N / Eliseyev, Ilya A / Lebedev, Sergey P / Priobrazhenskii, Sergei Iu / Tanklevskaya, Elena M / Puzyk, Mikhail V / Roenkov, Alexander D / Usikov, Alexander S / Lebedev, Alexander A

    Materials (Basel, Switzerland)

    2023  Band 16, Heft 16

    Abstract: The quality of graphene intended for use in biosensors was assessed on manufactured chips using a set of methods including atomic force microscopy (AFM), Raman spectroscopy, and low-frequency noise investigation. It is shown that local areas of residues ... ...

    Abstract The quality of graphene intended for use in biosensors was assessed on manufactured chips using a set of methods including atomic force microscopy (AFM), Raman spectroscopy, and low-frequency noise investigation. It is shown that local areas of residues on the graphene surface, formed as a result of the interaction of graphene with a photoresist at the initial stage of chip development, led to a spread of chip resistance (R) in the range of 1-10 kOhm and to an increase in the root mean square (RMS) roughness up to 10 times, which can significantly worsen the reproducibility of the parameters of graphene chips for biosensor applications. It was observed that the control of the photoresist residues after photolithography (PLG) using AFM and subsequent additional cleaning reduced the spread of R values in chips to 1-1.6 kOhm and obtained an RMS roughness similar to the roughness in the graphene film before PLG. Monitoring of the spectral density of low-frequency voltage fluctuation (S
    Sprache Englisch
    Erscheinungsdatum 2023-08-15
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16165628
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Graphene on SiC Substrate as Biosensor: Theoretical Background, Preparation, and Characterization.

    Lebedev, Alexander A / Davydov, Sergey Yu / Eliseyev, Ilya A / Roenkov, Alexander D / Avdeev, Oleg / Lebedev, Sergey P / Makarov, Yurii / Puzyk, Mikhail / Klotchenko, Sergey / Usikov, Alexander S

    Materials (Basel, Switzerland)

    2021  Band 14, Heft 3

    Abstract: This work is devoted to the development and optimization of the parameters of graphene-based sensors. The graphene films used in the present study were grown on semi-insulating 6H-SiC substrates by thermal decomposition of SiC at the temperature of ~1700 ...

    Abstract This work is devoted to the development and optimization of the parameters of graphene-based sensors. The graphene films used in the present study were grown on semi-insulating 6H-SiC substrates by thermal decomposition of SiC at the temperature of ~1700 °C. The results of measurements by Auger and Raman spectroscopies confirmed the presence of single-layer graphene on the silicon carbide surface. Model approach to the theory of adsorption on epitaxial graphene is presented. It is demonstrated that the Green-function method in conjunction with the simple substrate models permit one to obtain analytical results for the charge transfer between adsorbed molecules and substrate. The sensor structure was formed on the graphene film by laser. Initially, a simpler gas sensor was made. The sensors developed in this study demonstrated sensitivity to the NO
    Sprache Englisch
    Erscheinungsdatum 2021-01-27
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma14030590
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Kategorien

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