• DocumentCode
    1779598
  • Title

    Smartphone controlled platform for point-of-care diagnosis of infectious diseases

  • Author

    Salomon, Francisco ; Tropea, Salvador ; Brengi, Diego ; Hernandez, A. ; Alamon, Diego ; Parra, Matias ; Longinotti, Gloria ; Ybarra, Gabriel ; Lloret, Paulina ; Mass, Mijal ; Roberti, Mariano ; Lloret, Matias ; Malatto, Laura ; Moina, Carlos ; Fraigi, Lil

  • Author_Institution
    Inst. Nac. de Tecnol. Ind., Buenos Aires, Argentina
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work, we present the development of a point-of-care platform for the serologic diagnosis of infectious diseases. The complete system consists of magnetic particles with immobilized antigens, disposable electrochemical cells, hardware and software. The main purpose of this paper is to present the last two components. The platform is powered by a rechargeable battery and can be controlled using mobile devices, allowing point-of-care diagnosis of diseases. The platform was successfully tested for the diagnosis of foot-and-mouth disease, human and bovine brucellosis, and Chagas disease.
  • Keywords
    biological techniques; diseases; magnetic particles; secondary cells; smart phones; Chagas disease diagnosis; bovine brucellosis diagnosis; disposable electrochemical cell; foot-and-mouth disease diagnosis; human brucellosis diagnosis; immobilized antigens; infectious diseases diagnosis; magnetic particle; mobile device; point-of-care diagnosis platform; rechargeable battery; serologic diagnosis; smartphone controlled platform; Androids; Biosensors; Current measurement; Diseases; Electrodes; Humanoid robots; Software; Android app; Electrochemical Biosensor; Point-Of-Care Diagnosis; Portable platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors (IBERSENSOR), 2014 IEEE 9th Ibero-American Congress on
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4799-6835-0
  • Type

    conf

  • DOI
    10.1109/IBERSENSOR.2014.6995525
  • Filename
    6995525