Aptamer-based nanofilter interface for small-biomarker detection with potentiometric biosensor
Aptamer-based nanofilter interface for small-biomarker detection with potentiometric biosensor
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DOI:
10.1016/j.electacta.2020.137631
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发表时间:
2021-02-01
影响因子:
6.6
通讯作者:
Sakata, Toshiya
中科院分区:
文献类型:
--
作者:
Himori, Shogo;Nishitani, Shoichi;Sakata, Toshiya
In this paper, we report the concept of an aptamer (Ap)-based nanofilter interface for the suppression of nonspecific signals generated by interfering species in biological samples. As a model of the target small biomolecule, L-3,4-dihydroxyphenylalanine (L-DOPA) is used to demonstrate its electrical discrimination from dopamine (DA) despite their similar chemical structures using a DA-Ap nanofilter-coated Au gate field-effect transistor (FET). A Au gate electrode is employed to assess the electrical response of the FET to L-DOPA on the basis of oxidative reactions. In particular, the proposed nanofilter interface is based on the DA-Ap layer immobilized at the aryl-diazonium-based anchor monolayer, which is electrochemically grafted on the Au gate electrode via diazonium chemistry. As a result, the electrical signal from L-DOPA is clearly discriminated from that from DA at a concentration of 1 mu M or higher using the DA-Ap nanofilter-coated Au gate FET. That is, DA is trapped by the DA-Ap nanofilter through the formation of complexes, the molecular charges of which are shielded by counter ions that are not in contact with the Au gate surface, whereas L-DOPA reaches and electrochemically reacts with the Au gate surface, generating an electrical signal regardless of the nanofilter. The surface properties of the DA-Ap nanofilter modified on the Au gate electrode are investigated by cyclic voltammetry, chronocoulometry, atomic force microscopy, and X-ray photoelectron spectroscopy. A platform based on the FET biosensor with the Ap-based nanofilter interface contributes to the electrical monitoring of small biomarkers while suppressing the nonspecific signals of interfering species in biological samples. (C) 2020 Elsevier Ltd. All rights reserved.