Synthesis of carbon-protected metallic Ni and Co nanoparticles by using starch

CHEN Jinhua; ZHENG Mingbo; CHEN Yongping; LIU Jinsong; JI Guangbin; CAO Jieming

您当前的位置：

首页 >

文章列表页 >

Synthesis of carbon-protected metallic Ni and Co nanoparticles by using starch

更新时间：2025-12-10

- Synthesis of carbon-protected metallic Ni and Co nanoparticles by using starch
- CIESC Journal Issue 1, Pages: 259-264(2010)
- 作者机构：
  
  南京航空航天大学材料科学与技术学院，纳米材料研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 January 2010，
  
  Published：05 January 2010
- 稿件说明：
移动端阅览
CHEN Jinhua, ZHENG Mingbo, CHEN Yongping, et al. Synthesis of carbon-protected metallic Ni and Co nanoparticles by using starch[J]. CIESC Journal, 2010, (1): 259-264.
DOI：

CHEN Jinhua, ZHENG Mingbo, CHEN Yongping, et al. Synthesis of carbon-protected metallic Ni and Co nanoparticles by using starch[J]. CIESC Journal, 2010, (1): 259-264. DOI：

摘要

Abstract

Carbon-protected metallic nanoparticles（nickel and cobalt）composites were prepared by the pyrolysis of the mixture of soluble starch and metallic acetate in N2 flow via an easy green synthetic route.The obtained samples were highly stable in air.Reducing agent was not used in the experiments.The as-synthesized samples were characterized by XRD，TEM，and N2 adsorption-desorption analysis.The results of N2 adsorption-desorption analysis indicated that the obtained samples possessed mesoporous structures and high BET surface areas.

关键词

Keywords

references

Views

511

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research progress of ionic liquids in separation of aromatics/alkanes and olefins/alkanes

Thermo-gas-elastic coupling performance analysis of high-speed and high-temperature foil face seals

Study on microwave enhanced removal performance of organic matter in coking waste salt

Study on performance enhancement and cold retention characteristics of solid packed bed cold energy storage

Prediction model for COD in petrochemical wastewater influent based on temporal-spatial dual-stream convolutional neural network

Related Author

No data

Related Institution

No data

⁰