Natural Fresh Proteins Directed Hierarchically Porous Nitrogen-doped TiO2 as with High Performance as Photocatalyts and Electrode Materials

Jiaxiang Zuo , Xin Jin , Hui Zeng

Journal of Wuhan University of Technology Materials Science Edition ›› 2021, Vol. 36 ›› Issue (2) : 183 -188.

PDF
Journal of Wuhan University of Technology Materials Science Edition ›› 2021, Vol. 36 ›› Issue (2) : 183 -188. DOI: 10.1007/s11595-021-2392-z
Advanced Materials

Natural Fresh Proteins Directed Hierarchically Porous Nitrogen-doped TiO2 as with High Performance as Photocatalyts and Electrode Materials

Author information +
History +
PDF

Abstract

Fresh EPF proteins from Liangzi Lake were employed as a template to synthesize hierarchically porous nitrogen-doped TiO2 in a single process. The experimental results show that N-TiO2 sample exhibits significantly enhanced visible-light photocatalytic activity in both chemical waste treatment and hydrogen production, and the visible-light photocatalytic activities vary with the concentrations of EPF proteins. The optimal concentration of protein is 600 mg·mL−1 and the degradation of RhB could be almost completed in just 25 min. Furthermore, the performance of as-synthesized TiO2 as an electrode for Li-ion battery can be also regulated by the EPF proteins. Natural extrapallial fluid (EPF) proteins extracted from the same kind of mussels living in different regions have significantly different effects on the performances of TiO2 as electrode materials for Li-ion battery. The present work highlights the unimaginable effects of natural organic matrix on the synthesis of advanced materials with optimized functional properties.

Keywords

N-TiO2 / photocatalytic activity / hydrogen production / hierarchically porous structure / extrapallial fluid (EPF) proteins

Cite this article

Download citation ▾
Jiaxiang Zuo, Xin Jin, Hui Zeng. Natural Fresh Proteins Directed Hierarchically Porous Nitrogen-doped TiO2 as with High Performance as Photocatalyts and Electrode Materials. Journal of Wuhan University of Technology Materials Science Edition, 2021, 36(2): 183-188 DOI:10.1007/s11595-021-2392-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF

79

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/