• DocumentCode
    734264
  • Title

    Reliable redundancy with memristive-biosensors to achieve statistical significance in immunosensing

  • Author

    Lotfi, A. ; Demarchi, D. ; Puppo, F. ; De Micheli, G. ; Carrara, S. ; Doucey, M.-A.

  • Author_Institution
    Dept. of Electron. & Telecommun., PoliTO, Turin, Italy
  • fYear
    2015
  • fDate
    18-19 June 2015
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    In this paper, we have investigated the redundancy in array of Memristive-Biosensors and find optimum number for devices to accomplish reliable biodetection. Our results lead less expensive sensor and reduce the low-reproducibility of this memristive method for the detection of rabbit antigen. Several experiments have been performed with 17 memristive biosensors in several conditions. These conditions give us relevant informations about the overall behavior of memristor biosensor´s array, after functionalization with antibody and exposure to antigen. The statistics made on different conditions, related to the standard deviation and the mean value of voltage gap, prove that such a sensor, with a minimum memristive biosensors in array, can be counted as reliable sensor for the detection of antigen.
  • Keywords
    biosensors; molecular biophysics; proteins; statistical analysis; antibody; antigen detection; biodetection; immunosensor; memristive method; memristive-biosensor array; rabbit antigen; reliable redundancy; reliable sensor; statistical significance; Biosensors; Nanobioscience; Nanowires; Rabbits; Reliability; Silicon; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Sensors and Interfaces (IWASI), 2015 6th IEEE International Workshop on
  • Conference_Location
    Gallipoli
  • Type

    conf

  • DOI
    10.1109/IWASI.2015.7184969
  • Filename
    7184969