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

作　　者：Fang Pu Xiang Ran Meng Guan Yanyan Huang Jinsong Ren Xiaogang Qu 

机构地区：[1]Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resources Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China [2]Cancer Center, FirstAffiliated Hospital, Jilin University, Changchun 130061, China [3]University of Chinese Academy of Sciences, Beijing 100039, China

出　　处：《Nano Research》2018年第6期3213-3221,共9页纳米研究（英文版）

摘　　要：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 nanoparficle-based sensing arrays for pattern recognition.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 nanoparficle-based sensing arrays for pattern recognition.

关 键 词：localized surface plasmon resonance silver nanoparticles pattern recognition BIOMOLECULE photochemical synthesis 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TP391.72[自动化与计算机技术—计算机科学与技术]