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Issue 43, 2017
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Surface-engineered quantum dots/electrospun nanofibers as a networked fluorescence aptasensing platform toward biomarkers

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Abstract

A membrane-based fluorescent sensing platform is a facile, point-of-care and promising technique in chemo/bio-analytical fields. However, the existing fluorescence sensing films for cancer biomarkers have several problems, with dissatisfactory sensitivity and selectivity, low utilization of probes encapsulated in films as well as the tedious design of membrane structures. In this work, a novel fluorescence sensing platform is fabricated by bio-grafting quantum dots (QDs) onto the surface of electrospun nanofibers (NFs). The aptamer integrated into the QDs/NFs can result in high specificity for recognizing and capturing biomarkers. Partially complementary DNA-attached gold nanoparticles (AuNPs) are employed to efficiently hybridize with the remaining aptamer to quench the fluorescence of QDs by nanometal surface energy transfer (NSET) between them both, which are constructed for prostate specific antigen (PSA) assay. Taking advantage of the networked nanostructure of aptamer–QDs/NFs, the fluorescent film can detect PSA with high sensitivity and a detection limit of 0.46 pg mL−1, which was further applied in real clinical serum samples. Coupling the surface grafted techniques to the advanced network nanostructure of electrospun NFs, the proposed aptasensing platform can be easily extended to achieve sensitive and selective assays for other biomarkers.

Graphical abstract: Surface-engineered quantum dots/electrospun nanofibers as a networked fluorescence aptasensing platform toward biomarkers

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Publication details

The article was received on 04 Jul 2017, accepted on 25 Sep 2017 and first published on 26 Sep 2017


Article type: Paper
DOI: 10.1039/C7NR04817C
Citation: Nanoscale, 2017,9, 17020-17028
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    Surface-engineered quantum dots/electrospun nanofibers as a networked fluorescence aptasensing platform toward biomarkers

    T. Yang, P. Hou, L. L. Zheng, L. Zhan, P. F. Gao, Y. F. Li and C. Z. Huang, Nanoscale, 2017, 9, 17020
    DOI: 10.1039/C7NR04817C

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