材料科学
纳米颗粒
退火(玻璃)
无定形固体
化学工程
粒径
溶解
结晶
光致发光
纳米技术
复合材料
光电子学
结晶学
化学
工程类
作者
Amélie Revaux,Géraldine Dantelle,Nathan C. George,Ram Seshadri,Thierry Gacoin,Jean‐Pierre Boilot
出处
期刊:Nanoscale
[The Royal Society of Chemistry]
日期:2011-01-01
卷期号:3 (5): 2015-2015
被引量:81
摘要
A significant obstacle in the development of YAG:Ce nanoparticles as light converters in white LEDs and as biological labels is associated with the difficulty of finding preparative conditions that allow simultaneous control of structure, particle size and size distribution, while maintaining the optical properties of bulk samples. Preparation conditions frequently involve high-temperature treatments of precursors (up to 1400 °C), which result in increased particle size and aggregation, and lead to oxidation of Ce(III) to Ce(IV). We report here a process that we term protected annealing, that allows the thermal treatment of preformed precursor particles at temperatures up to 1000 °C while preserving their small size and state of dispersion. In a first step, pristine nanoparticles are prepared by a glycothermal reaction, leading to a mixture of YAG and boehmite crystalline phases. The preformed nanoparticles are then dispersed in a porous silica. Annealing of the composite material at 1000 °C is followed by dissolution of the amorphous silica by hydrofluoric acid to recover the annealed particles as a colloidal dispersion. This simple process allows completion of YAG crystallization while preserving their small size. The redox state of Ce ions can be controlled through the annealing atmosphere. The obtained particles of YAG:Ce (60 ± 10 nm in size) can be dispersed as nearly transparent aqueous suspensions, with a luminescence quantum yield of 60%. Transparent YAG:Ce nanoparticle-based films of micron thickness can be deposited on glass substrates using aerosol spraying. Films formed from particles prepared by the protected annealing strategy display significantly improved photostability over particles that have not been subject to such annealing.
科研通智能强力驱动
Strongly Powered by AbleSci AI