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Dive into the research topics where Baiyi Zu is active.

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Featured researches published by Baiyi Zu.


Nanoscale | 2013

Nanostructure-based optoelectronic sensing of vapor phase explosives – a promising but challenging method

Baiyi Zu; Yanan Guo; Xincun Dou

Optoelectronic sensing of gas phase hazardous chemicals is a newly explored field, which shows great advantages towards low concentration sensing when compared to normal gas sensing in the dark. Here, based on the recent progress on nanostructured vapor phase explosive gas sensors operated in dark conditions, the attractiveness of developing optoelectronic sensors for vapor phase explosive detection was highlighted. Furthermore, we try to propose some new insights to enhance optoelectronic sensing of vapor phase explosives. We suggest employing photocatalysis principles to enhance the sensitivity and employing a molecular imprinting technique (MIT) to enhance the selectivity.


Small | 2016

Transition‐Metal‐Doped p‐Type ZnO Nanoparticle‐Based Sensory Array for Instant Discrimination of Explosive Vapors

Jiang Qu; Yuru Ge; Baiyi Zu; Yuxiang Li; Xincun Dou

The development of portable, real-time, and cheap platforms to monitor ultratrace levels of explosives is of great urgence and importance due to the threat of terrorism attacks and the need for homeland security. However, most of the previous chemiresistor sensors for explosive detection are suffering from limited responses and long response time. Here, a transition-metal-doping method is presented to remarkably promote the quantity of the surface defect states and to significantly reduce the charge transfer distance by creating a local charge reservoir layer. Thus, the sensor response is greatly enhanced and the response time is remarkably shortened. The resulting sensory array can not only detect military explosives, such as, TNT, DNT, PNT, PA, and RDX with high response, but also can fully distinguish some of the improvised explosive vapors, such as AN and urea, due to the huge response reaching to 100%. Furthermore, this sensory array can discriminate ppb-level TNT and ppt-level RDX from structurally similar and high-concentration interfering aromatic gases in less than 12 s. Through comparison with the previously reported chemiresistor or Schottky sensors for explosive detection, the present transition-metal-doping method resulting ZnO sensor stands out and undoubtedly challenges the best.


Small | 2016

Surface Superoxide Complex Defects-Boosted Ultrasensitive ppb-Level NO2 Gas Sensors

Yuxiang Li; Baiyi Zu; Yanan Guo; Kun Li; Haibo Zeng; Xincun Dou

Sn(4+) -O2 (-•) centers are intentionally created in SnO2 nanoflowers by a thermodynamically instable synthetic process. The resulting SnO2 nanoflower-based sensor is confirmed to be the most sensitive ppb-level chemiresistor NO2 sensor to date. The Sn(4+) -O2 (-•) centers with strong gas-adsorbing and high eletron-donating capability towards NO2 molecules decisively determine the sensor sensitivity.


Journal of Materials Chemistry C | 2014

Simple metal/SiO2/Si planar photodetector utilizing leakage current flows through a SiO2 layer

Baiyi Zu; Bin Lu; Yanan Guo; Tao Xu; Xincun Dou

Silicon wafers covered with a thermally grown high-quality SiO2 layer were often used as the substrate to house different nanostructures to fabricate photodetection devices. No reports have ever challenged directly fabricating photodetectors utilizing leakage current through non-high-quality SiO2 films and the intrinsic light absorption properties of Si. Herein, we show that metal/SiO2/Si planar photodetectors could be easily fabricated by simply depositing two metal electrodes (such as, Au, Ag and Al) on top of SiO2/Si wafer in which the SiO2 layer is of non-high quality. The responsivity, stability, photoresponse characteristics and light intensity sensitivity are systematically evaluated. Our results clearly show that the present conveniently and cost-effectively fabricated metal/SiO2/Si planar photodetectors are of great advantage as compared to many of the nanostructure-based photodetectors constructed on SiO2/Si substrate.


RSC Advances | 2016

A F-ion assisted preparation route to improve the photodegradation performance of a TiO2@rGO system-how to efficiently utilize the photogenerated electrons in the target organic pollutants

Linjuan Guo; Zheng Yang; Baiyi Zu; Bin Lu; Xincun Dou

A comparison of the work function of reduced graphene oxide (rGO) and the conduction band position of TiO2 reveals that the density of TiO2 particles grown on rGO could affect the photodegradation efficiency of a TiO2@rGO heterojunction. Herein, with the introduction of F-ions into the preparation route, F-doped shaped TiO2 nanocrystals are densely and uniformly decorated on rGO sheets via the ice bath hydrolyzation method. Thus, more dye molecules are adsorbed on the surface of TiO2 and the photogenerated electrons in the excited dye molecules could be efficiently utilized to improve the overall photodegradation efficiency. The as-prepared F-doped TiO2@rGO heterojunction showed extremely high photocatalytic efficiency under UV-vis light irradiation compared with that of the commercial P25 and the mixture of F-TiO2 and rGO. It is proved that the ice bath hydrolyzation preparation route is crucial to improve the photodegradation efficiency of the final product since the pure TiO2@rGO heterojunction is also much more efficient than the mixture of F-TiO2 and rGO. The present work provides new insights into efficiently utilizing the photogenerated electrons in the target organic pollutants.


Nanoscale | 2014

APTS and rGO co-functionalized pyrenated fluorescent nanonets for representative vapor phase nitroaromatic explosive detection.

Linjuan Guo; Baiyi Zu; Zheng Yang; Hongyu Cao; Xuefang Zheng; Xincun Dou


Advanced Optical Materials | 2014

CdS/ZnO Core/Shell Nanowire-Built Films for Enhanced Photodetecting and Optoelectronic Gas-Sensing Applications

Zheng Yang; Linjuan Guo; Baiyi Zu; Yanan Guo; Tao Xu; Xincun Dou


Advanced Functional Materials | 2015

A High-Performance Nitro-Explosives Schottky Sensor Boosted by Interface Modulation

Zheng Yang; Xincun Dou; Shengli Zhang; Linjuan Guo; Baiyi Zu; Zhaofeng Wu; Haibo Zeng


Sensors and Actuators B-chemical | 2017

Highly sensitive and rapid chemiresistive sensor towards trace nitro-explosive vapors based on oxygen vacancy-rich and defective crystallized In-doped ZnO

Yuru Ge; Zhong Wei; Yushu Li; Jiang Qu; Baiyi Zu; Xincun Dou


Advanced Functional Materials | 2016

Contactless and Rapid Discrimination of Improvised Explosives Realized by Mn2+ Doping Tailored ZnS Nanocrystals

Zhaofeng Wu; Chaoyu Zhou; Baiyi Zu; Yushu Li; Xincun Dou

Collaboration


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Xincun Dou

Chinese Academy of Sciences

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Linjuan Guo

Chinese Academy of Sciences

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Zheng Yang

Chinese Academy of Sciences

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Yanan Guo

Chinese Academy of Sciences

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Yushu Li

Chinese Academy of Sciences

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Tao Xu

Northern Illinois University

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Bin Lu

Chinese Academy of Sciences

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Haibo Zeng

Nanjing University of Science and Technology

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Yuru Ge

Chinese Academy of Sciences

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Zhaofeng Wu

Chinese Academy of Sciences

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