牛文斌

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:化工学院

学科:应用化学. 精细化工

办公地点:大连理工大学西部校区 精细化工重点实验室 E426

电子邮箱:niuwb@dlut.edu.cn

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Inorganic Photonic Microspheres with Localized Concentric Ordering for Deep Pattern Encoding and Triple Sensory Microsensor

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论文类型:期刊论文

发表时间:2021-02-02

发表刊物:SMALL

卷号:16

期号:46

ISSN号:1613-6810

关键字:localized concentric ordering; photonic encoding; photonic microspheres; robustness; single photonic microsphere‐ based microsensor

摘要:Photonic microspheres offer building units with unique topological structures and specific optical functions for diverse applications. Here, a new class of inorganic photonic microspheres with superior robustness, optical and electrical properties is reported by introducing a unique localized concentric ordering architecture and chemical interaction, which further serve as building blocks for deep pattern encoding and multiple sensory optoelectronic devices. Benefiting from localized concentric ordering architecture, the resultant photonic microspheres demonstrate orientation- and angle-independent structural colors. Notably, the formation of well-combined lamellae inorganic layers by chemical interaction grants the microspheres superior mechanical robustness, excellent solvent resistance, thermal stability, and multiple optoelectronic properties simultaneously, rarely seen in previous reports. Owing to these merits, such microspheres are used to construct diverse encoded photonic patterns for anti-counterfeiting applications. Interestingly, cross-communication among neighboring microspheres creates complex photonic sub-patterns, which provide "fingerprint information" with deep encryption security. Moreover, a single photonic microsphere-based optoelectronic microsensor is demonstrated for the first time, which achieves appealing application for real-time health monitoring and safety warning toward triple environmental stimuli. This work not only provides a new kind of robust, multifunctional photonic material, but also opens a new avenue for their uses as complexed pattern encoding and multi-parametric sensing platforms.