Concentration Effect of Reducing Agents on Green Synthesis of Gold Nanoparticles: Size, Morphology, and Growth Mechanism

被引：98

作者：

Kim, Hyun-seok ^{[1
]}

Seo, Yu Seon ^{[2
]}

Kim, Kyeounghak ^{[3
]}

Han, Jeong Woo ^{[3
]}

Park, Youmie ^{[2
]}

Cho, Seonho ^{[1
]}

机构：

[1] Seoul Natl Univ, Natl Creat Res Initiat, Ctr Isogeometr Optimal Design, 1 Gwanak Ro, Seoul 151744, South Korea

[2] Inje Univ, Coll Pharm, 197 Inje Ro, 621749 Gimhae, South Korea

[3] Univ Seoul, Dept Chem Engn, Seoul 130743, South Korea

来源：

NANOSCALE RESEARCH LETTERS | 2016年 / 11卷

基金：

新加坡国家研究基金会;

关键词：

Aggregation mechanism; Concentration of reducing agent; DFT calculation; Gold nanoparticle; Green synthesis; Molecular dynamics; MOLECULAR-DYNAMICS; INTEGRATION; SIMULATION; ENERGY; AU;

D O I：

10.1186/s11671-016-1393-x

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Under various concentration conditions of reducing agents during the green synthesis of gold nanoparticles (AuNPs), we obtain the various geometry (morphology and size) of AuNPs that play a crucial role in their catalytic properties. Through both theoretical and experimental approaches, we studied the relationship between the concentration of reducing agent (caffeic acid) and the geometry of AuNPs. As the concentration of caffeic acid increases, the sizes of AuNPs were decreased due to the adsorption and stabilizing effect of oxidized caffeic acids (OXCAs). Thus, it turns out that optimal concentration exists for the desired geometry of AuNPs. Furthermore, we investigated the growth mechanism for the green synthesis of AuNPs. As the caffeic acid is added and adsorbed on the surface of AuNPs, the aggregation mechanism and surface free energy are changed and consequently resulted in the AuNPs of various geometry.

引用

页数：9

共 34 条

[1]

[Anonymous], 2011, DENSITY FUNCTIONAL T

[2]

FOILES SM, 1986, PHYS REV B, V33, P7983, DOI 10.1103/PhysRevB.33.7983

[3] Green synthesis of gold nanoparticles using palm oil mill effluent (POME): A low-cost and eco-friendly viable approach [J].

Gan, Pei Pei ;

Ng, Shi Han ;

Huang, Yan ;

Li, Sam Fong Yau .

BIORESOURCE TECHNOLOGY, 2012, 113 :132-135

[4] Forming electrical networks in three dimensions by self-assembly [J].

Gracias, DH ;

Tien, J ;

Breen, TL ;

Hsu, C ;

Whitesides, GM .

SCIENCE, 2000, 289 (5482) :1170-1172

[5] Effect of the Damping Function in Dispersion Corrected Density Functional Theory [J].

Grimme, Stefan ;

Ehrlich, Stephan ;

Goerigk, Lars .

JOURNAL OF COMPUTATIONAL CHEMISTRY, 2011, 32 (07) :1456-1465

[6] Molecular Dynamics Simulation of the Arginine-Assisted Solubilization of Caffeic Acid: Intervention in the Interaction [J].

Hirano, Atsushi ;

Kameda, Tomoshi ;

Shinozaki, Daisuke ;

Arakawa, Tsutomu ;

Shiraki, Kentaro .

JOURNAL OF PHYSICAL CHEMISTRY B, 2013, 117 (25) :7518-7527

[7]

Hockney R., 1988, Computer simulation using particles

[8] Biosynthesis of nanoparticles using microbes-A review [J].

Hulkoti, Nasreen I. ;

Taranath, T. C. .

COLLOIDS AND SURFACES B-BIOINTERFACES, 2014, 121 :474-483

[9] VMD: Visual molecular dynamics [J].

Humphrey, W ;

Dalke, A ;

Schulten, K .

JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 1996, 14 (01) :33-38

[10] Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation [J].

Jakalian, A ;

Jack, DB ;

Bayly, CI .

JOURNAL OF COMPUTATIONAL CHEMISTRY, 2002, 23 (16) :1623-1641

← 1 2 3 4 →