Corrosion Inhibition of Polydopamine Nanoparticles on Mild Steel in Hydrochloric Acid Solution
文献类型：期刊论文
| 作者 | Yang, Feng; Li, Xiangyu; Dai, Zhendong; Liu, Tong; Zheng, Wenru; Zhao, Haichao; Wang, Liping |
| 刊名 | INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE
 |
| 出版日期 | 2017 |
| 卷号 | 12期号:8页码:7469-7480 |
| ISSN号 | 1452-3981 |
| 英文摘要 | The spherical polydopamine (PDA) nanoparticles with a uniform particle size around 230nm were synthesized successfully by self-polymerization of dopamine hydrochloride in Tris-buffer solution. The inhibitor effects of PDA nanopartilces on mild steel in 1 M HCl were investigated by weight loss, potentiodynamic polarization, electrochemical impedance (EIS), scanning electron microscopy (SEM) and atomic force microscopy (AFM). The results confirmed that PDA nanopartilces adsorbed onto the mild steel surface and efficiently inhibited the corrosion process. The inhibition efficiency of polydopamine inhibitor was up to 86% at a concentration of 40 mol/L, and the adsorption obeyed Langmuir adsorption isotherm. Meanwhile, potentiodynamic polarization studies showed that the corrosion inhibitor was a mixed inhibitor. SEM and AFM further confirmed the formation of a protective film on the mild steel surface. |
| 公开日期 | 2017-12-25 |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/13705]  |
| 专题 | 2017专题 |
| 推荐引用方式 GB/T 7714 | Yang, Feng,Li, Xiangyu,Dai, Zhendong,et al. Corrosion Inhibition of Polydopamine Nanoparticles on Mild Steel in Hydrochloric Acid Solution[J]. INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE,2017,12(8):7469-7480. |
| APA | Yang, Feng.,Li, Xiangyu.,Dai, Zhendong.,Liu, Tong.,Zheng, Wenru.,...&Wang, Liping.(2017).Corrosion Inhibition of Polydopamine Nanoparticles on Mild Steel in Hydrochloric Acid Solution.INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE,12(8),7469-7480. |
| MLA | Yang, Feng,et al."Corrosion Inhibition of Polydopamine Nanoparticles on Mild Steel in Hydrochloric Acid Solution".INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE 12.8(2017):7469-7480. |
入库方式： OAI收割
来源：宁波材料技术与工程研究所
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