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Issue 66, 2018, Issue in Progress
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Rapid colorimetric glucose detection via chain reaction amplification of acrylic functionalized Ag@SiO2 nanoparticles

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Abstract

The chain reaction amplification mechanism (CRAM) has been extensively studied, but it has not been effectively developed at the molecular scale and still needs to consume amounts of monomers to show the macroscopic phenomenon needed for detection. Herein, rationally-designed silica-coated silver nanoparticles with acrylic acid-functionalization were used as a plasmonic nanosensor to realize highly sensitive and fast colorimetric glucose detection with less monomer consumption, which effectively integrated CRAM with the localized surface plasmon resonance effect, developing CRAM at the molecular scale. The glucose detection mechanism of the proposed sensor was based on free-radical polymerization by biocatalytic initiation, which would induce the aggregation of Ag NPs, leading to a decrease in the plasmon resonance intensity. As a result, the detection limit could reach 2.06 × 10−5 M, 10 times lower than that of a commercial glucose assay kit with a limit of 1.1 × 10−4 M. Moreover, FDTD simulation further confirmed that the intensity of the extinction gradually decreased with an increase in the degree of aggregation of Ag NPs. The approach could be used for high selectivity toward glucose detection and would be suitable for other practical applications of the detection of low concentrations of glucose.

Graphical abstract: Rapid colorimetric glucose detection via chain reaction amplification of acrylic functionalized Ag@SiO2 nanoparticles

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Publication details

The article was received on 22 Aug 2018, accepted on 09 Oct 2018 and first published on 09 Nov 2018


Article type: Paper
DOI: 10.1039/C8RA07043A
Citation: RSC Adv., 2018,8, 37729-37734
  • Open access: Creative Commons BY-NC license
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    Rapid colorimetric glucose detection via chain reaction amplification of acrylic functionalized Ag@SiO2 nanoparticles

    X. Lin, W. Lin, M. Yang, J. Chen, D. Yu, W. Hong and X. Chen, RSC Adv., 2018, 8, 37729
    DOI: 10.1039/C8RA07043A

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