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Memristive Effect as a Novelty in Drug Monitoring


Nanoscale devices exhibiting memristive properties show great potential in plethora of applications. In this work memristive nanowires are presented for the first time as ideal candidates for absolutely novel, ultrasensitive, highly specific and selective drug-biosensors, also paving the way for real-time monitoring applications, in coupling with the restoration properties DNA-aptamers. The hysteretic properties exhibited by the hereby-presented special nanodevices, modified via surface treatments, is leveraged along the complete cycle consisting of DNA-aptamers immobilization, target binding, DNA-aptamers regeneration for successful and effective detection of Tenofovir, an antiviral drug for HIV treatment, in buffer as well as in non-diluted human serum. This, results in an ultrasensitive, label-free monitoring of the therapeutic compound with a limit of detection of 3.09 pM in buffer and 1.38 nM in full serum, respectively. These LODs demonstrate 10 times higher sensitivity for the in-buffer drug detection, and twice better performance for drug sensing in-full human serum, ever obtained. The selectivity of the memristive biosensor for Tenofovir detection was verified through both positive and negative controls in full human serum. In addition, the DNA-aptamer regeneration character is portrayed for the first time through a memristive effect, and scanning electron microscopy throws more light to the binding mechanism efficiency through the variation of the nanodevice surface properties at the nanoscale. The results presented in this work demonstrate that the coupling of memristive effect and aptamers regeneration provides the best ever realized nano-bio-sensor for drugs detection also in full human serum.

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Publication details

The article was received on 21 Feb 2017, accepted on 06 Jun 2017 and first published on 06 Jun 2017

Article type: Paper
DOI: 10.1039/C7NR01297G
Citation: Nanoscale, 2017, Accepted Manuscript
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    Memristive Effect as a Novelty in Drug Monitoring

    I. Tzouvadaki, N. Aliakbarinodehi, G. De Micheli and S. Carrara, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR01297G

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