IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i3p557-d205002.html
   My bibliography  Save this article

Direct Printing of a Multi-Layer Sensor on Pet Substrate for CO 2 Detection

Author

Listed:
  • Bruno Andò

    (DIEEI University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Salvatore Baglio

    (DIEEI University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Giovanna Di Pasquale

    (DII University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Antonio Pollicino

    (DII University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Salvatore Graziani

    (DIEEI University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Chiara Gugliuzzo

    (DII University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Cristian Lombardo

    (DIEEI University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

  • Vicenzo Marletta

    (DIEEI University of Catania, v.le A. Doria 6, 95127 Catania, Italy)

Abstract

The use of inexpensive gas sensors is a real need for many applications requiring the use of disposable sensors. This work deals with the realization and characterization of a low cost CO 2 sensor realized by rapid prototyping techniques. In particular, the sensor consists of a set of InterDigiTed electrodes, over which a double sensing layer made of PEDOT/PSS (CLEVIOS™ PHCV4, by H.C.Starck) and a solution of pristine graphene powder has been deposited. A silver nano-particle solution is used for inkjet printing the electrodes onto the PET (PolyEthylene Terephthalate) substrate, through a commercial inkjet printer. The sensing strategy is based on the variation of the electrical conductance of graphene due to gas molecules adsorption. The device responsivity observed in two different operating conditions (50 °C and 60 °C), is 4.0 µΩ/Ω/ppm and 4.7 µΩ/Ω/ppm. The corresponding values of the resolution are 400 ppm and 420 ppm. Main advantages of the developed sensor consist in the cost-effective fabrication techniques and the device flexibility, which are strategic for applications requiring disposable and shapeable devices to be installed into irregular surfaces.

Suggested Citation

  • Bruno Andò & Salvatore Baglio & Giovanna Di Pasquale & Antonio Pollicino & Salvatore Graziani & Chiara Gugliuzzo & Cristian Lombardo & Vicenzo Marletta, 2019. "Direct Printing of a Multi-Layer Sensor on Pet Substrate for CO 2 Detection," Energies, MDPI, vol. 12(3), pages 1-10, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:557-:d:205002
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/3/557/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/3/557/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:557-:d:205002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.