| Literature DB >> 30277055 |
Li Li1, Xiaoxiao Zheng1, Yuzhen Huang1, Lina Zhang2, Kang Cui1, Yan Zhang1,3, Jinghua Yu1.
Abstract
Inspired by the well-known "Wheel of Fortune", a rotatable paper-photocontrollable switch (RPPS) was designed to form an addressable paper-based photoelectrochemical (PEC) cyto-sensor for ultrasensitive detection of a cell-surface protein. By simply rotating the RPPS, a light source can selectively activate the desired working zones of the cyto-sensor. To realize the high-performance paper-based PEC cyto-sensor, a cascaded photoactive interface consisting of neat TiO2 nanotubes arrays, Pt nanoparticles (NPs), and nitrogen-carbon dots was introduced into paper fibers, gaining signal-on PEC state (NTPP for short). Then the NTPP fixed with a hairpin probe H1 allowed the hybridization chain reaction (HCR) to happen with CuS NPs-labeled hairpin probe H2 by the free primer strand (PS) triggering; hence, the CuS NPs as the emulative sensitizers were introduced onto the NTPP with the photocurrent intensity decrement for signal-off PEC state. During this process, the PS carefully designed with specific sequences can recognize the target strand (TS) of MCF-7 cells and stimulate HCR by its trigger zone. The presence of MCF-7 cells destroyed the interaction between PS and ZnFe2O4 functionalized TS, causing the PS release from the mixture of PS and TS under the help of a magnet. Then, the released PS, acting as a primer probe, realized ultrasensitive detection of a cell-surface protein. On the basis of this novel protocol, multiple-signal amplification was skillfully imported into the addressable paper PEC chip, resulting in ultrasensitive quantification of carcinoembryonic antigen in the surface of MCF-7 cells. Given the fascinating analytical performances of the developed cyto-sensor, ultralow expression of antigens for MCF-7, A549, and PC 3 cells was discriminated effectively.Entities:
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Year: 2018 PMID: 30277055 DOI: 10.1021/acs.analchem.8b02849
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986