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Research Article

Biomolecule-templated photochemical synthesis of silver nanoparticles: Multiple readouts of localized surface plasmon resonance for pattern recognition

Fang Pu1Xiang Ran1,3Meng Guan2Yanyan Huang1,3Jinsong Ren1( )Xiaogang Qu1( )
Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resources UtilizationChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022China
Cancer CenterFirst Affiliated HospitalJilin UniversityChangchun130061China
University of Chinese Academy of SciencesBeijing100039China
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Abstract

Silver nanoparticles (AgNPs) with distinct localized surface plasmon resonance (LSPR) absorption spectra can be synthesized using different proteins as templates upon irradiation by light. We utilized the multiple readouts of LSPR signals of AgNPs to construct sensor arrays for pattern recognition of proteins. Room temperature, aqueous solutions, and lack of harsh reducing reagents make the whole process inherently "green". Meanwhile, the strategy efficiently simplified the process of array-receptor preparation and data acquisition, leading to lower time consumption, sample use, and cost. Furthermore, the system can differentiate proteins using flexible and alterable sensor elements by choosing different combinations of LSPR signals at different wavelengths. The principle of the sensor design can also be further extended to differentiate other biomolecules. The study provides a new method to construct feasible, economical, and general nanoparticle-based sensing arrays for pattern recognition.

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Nano Research
Pages 3213-3221

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Cite this article:
Pu F, Ran X, Guan M, et al. Biomolecule-templated photochemical synthesis of silver nanoparticles: Multiple readouts of localized surface plasmon resonance for pattern recognition. Nano Research, 2018, 11(6): 3213-3221. https://doi.org/10.1007/s12274-017-1819-5
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Received: 16 June 2017
Revised: 20 August 2017
Accepted: 22 August 2017
Published: 22 May 2018
© Tsinghua University Press and Springer-Verlag GmbH Germany 2017