Green microfluidic synthesis of monodisperse silver nanoparticles via genetic algorithm optimization

被引:27
作者
Fernandes, Daniel L. A. [1 ]
Paun, Cristina [1 ]
Pavliuk, Mariia V. [1 ]
Fernandes, Arthur B. [2 ]
Bastos, Erick L. [2 ]
Sa, Jacinto [1 ,3 ]
机构
[1] Uppsala Univ, Angstrom Lab, Dept Chem, S-75120 Uppsala, Sweden
[2] Univ Sao Paulo, Inst Chem, Dept Fundamental Chem, BR-05508000 Sao Paulo, Brazil
[3] Polish Acad Sci, Inst Phys Chem, PL-01224 Warsaw, Poland
来源
RSC ADVANCES | 2016年 / 6卷 / 98期
基金
瑞典研究理事会; 巴西圣保罗研究基金会;
关键词
METAL NANOPARTICLES; CDSE NANOCRYSTALS; STABILITY; EXTRACT; BETANIN; CELLS;
D O I
10.1039/c6ra20877k
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A scalable and green procedure for the microfluidic flow synthesis of monodisperse silver nanoparticles is reported. Beetroot extract is used both as a reducing and growth-regulating agent. A multi-objective genetic algorithm was used to automate the optimization of the reaction and reduce sample polydispersity observed in previous reports. The proposed methodology ensures high-quality nanoparticles in a rapidly manner and devoid of human skill or intuition, essential for method standardization and implementation.
引用
收藏
页码:95693 / 95697
页数:5
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