4.7 Article

Industrially scalable Chitosan/Nylon-6 (CS/N) nanofiber-based reusable adsorbent for efficient removal of heavy metal from water

期刊

POLYMER
卷 213, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.polymer.2020.123333

关键词

Chitosan; Nanofibers; Solution blowing; Heavy metal adsorption; Metal extraction

资金

  1. IIT Mandi-Seed Grant [IITM/SG/SSR/60]
  2. Ministry of Mines [14/30/2018-Met-IV (IITM/MoM/SSR/221)]
  3. DST-SERB [ECR/2017/001511(IITM/SERB/SSR/215)]
  4. Ministry of Human Resource Development (MHRD), India
  5. Advanced Materials Research Centre (AMRC), IIT Mandi

向作者/读者索取更多资源

The study achieved the industrially scalable fabrication of a Chitosan/Nylon-6 based nanofiber membrane for efficient adsorption of heavy metal contaminants in water, demonstrating its potential in practical applications and the ability for multiple reuses.
Industrially scalable fabrication of Chitosan (CS)/Nylon-6 (N) based nanofiber membrane was achieved using novel Solution Blowing technique with 40% Nylon-6 being replaced with Chitosan. The membrane was used as an efficient, reusable adsorbent of heavy metal (Cu2+) from water encompassing a wide range of metal ion concentrations, namely- 3-100 mg/L. At pH- 4 the adsorption was most favorable, and the maximum capacity was found to be as high as 240 mg/g owing to highly available active amine (-NH2) groups. At lower concentration, the adsorption profile could be matched with both Langmuir and Freundlich adsorption isotherms. However, both isotherms failed at higher concentration regime, hypothesizing possible access to sub-surface availability of active sites, which is otherwise not reported for fiber-based adsorbents as per best of knowledge of authors. Large scale (4L) demonstration with such adsorbent, with 90% metal ion removal efficiency, exhibits the potential of the membrane in practical applications. The membrane could be reused up to 8 times where the leachate can be used for metal extraction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据