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Ultrasensitive detection of Ebola matrix protein in a memristor mode

Nano Research volume 11, pages 1057–1068 (2018)Cite this article

Abstract

We demonstrate the direct biosensing of the Ebola VP40 matrix protein, using a memristor mode of a liquid-integrated nanodevice, based on a large array of honeycomb-shaped silicon nanowires. To shed more light on the principle of biodetection using memristors, we engineered the opening of the current-minima voltage gap VGAP by involving the third gap-control electrode (gate voltage, VG) into the system. The primary role of VG is to mimic the presence of the charged species of the desired sign at the active area of the sensor. We further showed the advantages of biodetection with an initially opened controlled gap (VGAP ≠ 0), which allows the detection of the lowest concentrations of the biomolecules carrying arbitrary positive or negative charges; this feature was not present in previous configurations. We compared the bio-memristor performance, in terms of its detection range and sensitivity, to that of the already-known field-effect transistor (FET) mode by operating the same device. To our knowledge, this is the first demonstration of Ebola matrix protein detection using a nanoscaled electrical sensor.

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Acknowledgements

This work was financed via the German Research Foundation (DFG) within the Cluster of Excellence “Center for Advancing Electronics Dresden (CfAED) EXC 1056” and the “ICT Consilience Creative Program” (No. IITP-R0346-16-1007) supervised by the Institute for Information and Communications Technology Promotion (IITP), Republic of Korea.

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Authors and Affiliations

  1. Institute of Materials Science, Max Bergmann Center for Biomaterials, Technische Universität Dresden, Budapester Str. 27, Dresden, 01069, Germany

    Bergoi Ibarlucea, Teuku Fawzul Akbar, Larysa Baraban & Gianaurelio Cuniberti

  2. Center for Advancing Electronics Dresden (CFAED), Technische Universität Dresden, Dresden, 01069, Germany

    Bergoi Ibarlucea, Larysa Baraban & Gianaurelio Cuniberti

  3. Department of Creative IT Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea

    Kihyun Kim, Taiuk Rim & Chang-Ki Baek

  4. Chair of Fundamentals of Electrical Engineering, Technische Universität Dresden, Mommsenstraße 12, Dresden, 01069, Germany

    Alon Ascoli & Ronald Tetzlaff

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  1. Bergoi Ibarlucea
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  2. Teuku Fawzul Akbar
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  3. Kihyun Kim
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  4. Taiuk Rim
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  7. Ronald Tetzlaff
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  9. Gianaurelio Cuniberti
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Correspondence to Bergoi Ibarlucea or Larysa Baraban.

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Ibarlucea, B., Fawzul Akbar, T., Kim, K. et al. Ultrasensitive detection of Ebola matrix protein in a memristor mode. Nano Res. 11, 1057–1068 (2018). https://doi.org/10.1007/s12274-017-1720-2

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