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Towards timely Alzheimer diagnosis: A self-powered amperometric biosensor for the neurotransmitter acetylcholine


Reference:

Moreira, F. T.C., Sale, M. G. F. and Di Lorenzo, M., 2017. Towards timely Alzheimer diagnosis: A self-powered amperometric biosensor for the neurotransmitter acetylcholine. Biosensors and Bioelectronics, 87, pp. 607-614.

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    Official URL:

    https://doi.org/10.1016/j.bios.2016.08.104

    Abstract

    Serious brain disorders, such as the Alzheimer's Disease (AD), are associated with a marked drop in the levels of important neurotransmitters, such as acetylcholine (ACh). Real time monitoring of such biomarkers can therefore play a critical role in enhancing AD therapies by allowing timely diagnosis, verifications of treatment effectiveness, and developments of new medicines. In this study, we present the first acetylcholine/oxygen hybrid enzymatic fuel cell for the self-powered on site detection of ACh in plasma, which is based on the combination of an enzymatic anode with a Pt cathode. Firstly, an effective acetylcholinesterase immobilized electrode was developed and its electrochemical performance evaluated. Highly porous gold was used as the electrode material, and the enzyme was immobilized via a one step rapid and simple procedure that does not require the use of harsh chemicals or any electrode/enzyme pre-treatments. The resulting enzymatic electrode was subsequently used as the anode of a miniature flow-through membrane-less fuel cell and showed excellent response to varying concentrations of ACh. The peak power generated by the fuel cell was 4 nW at a voltage of 260 mV and with a current density of 9 μA cm−2. The limit of detection of the fuel cell sensor was 10 μM, with an average response time as short as 3 min. These exciting results open new horizons for point-of-care Alzheimer diagnosis and provide an attractive potential alternative to established methods that require laborious and time-consuming sample treatments and expensive instruments.

    Details

    Item Type Articles
    CreatorsMoreira, F. T.C., Sale, M. G. F. and Di Lorenzo, M.
    DOI10.1016/j.bios.2016.08.104
    DepartmentsFaculty of Engineering & Design > Chemical Engineering
    Research Centres & Institutes > Bioprocessing Research unit (BRU)
    Research Centres & Institutes > Reaction and Catalysis Engineering research unit (RaCE)
    Research CentresCentre for Sustainable Chemical Technologies
    EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    ?? WIRC ??
    RefereedYes
    StatusPublished
    ID Code52468

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