月旦知識庫
 
  1. 熱門:
 
首頁 臺灣期刊   法律   公行政治   醫事相關   財經   社會學   教育   其他 大陸期刊   核心   重要期刊 DOI文章
國際應用科學與工程學刊 本站僅提供期刊文獻檢索。
  【月旦知識庫】是否收錄該篇全文,敬請【登入】查詢為準。
最新【購點活動】


篇名
Performance comparison of individual adsorbents and mixed adsorbent for the removal of copper (II) from waste water
並列篇名
Performance comparison of individual adsorbents and mixed adsorbent for the removal of copper (II) from waste water
作者 Darapureddi Krishna (Darapureddi Krishna)Gantala Santhosh Kumar (Gantala Santhosh Kumar)Dandu Radha Prasada Raju (Dandu Radha Prasada Raju)
英文摘要
Removal of Cu (II) metal ions from wastewater using borassus flabellifer coir and ragi husk mixed adsorbent is studied in a batch fashion to find out the effect of several process parameters like the agitation time (0-120 min), the mixed adsorbent size (0.1 to 1.0 g in 50 mL solution), concentration of copper ion (20-100 mg/L), temperature (273-323 K) and pH (2-10) as because of copper ions present in water causes severe affect on aquatic life, animals and humans. The Langmuir isotherm for copper adsorption onto mixed adsorbent is proved to be the best fit followed by Freundlich and Tempkin isotherms for the experimental data. The adsorption kinetic models follow the second order. As the equilibrium agitation time is achieved at 60 min, the batch process time for the removal of Cu (II) metal ions from wastewater is less. The thermodynamic parameters such as change in Gibb’s free energy (∆G), enthalpy (∆H) and entropy (∆S) reveals the feasibility, irreversibility, spontaneity and endothermic nature. The results obtained in this study illustrate that mixed adsorbent is expected to be an effective and economically viable adsorbent for copper removal from industrial wastewater whereby the quality of water may be improved.
起訖頁 1-14
關鍵詞 AdsorptionAdsorption isothermsCu (II)KineticsMixed adsorbent powderThermodynamic parameters.
刊名 國際應用科學與工程學刊  
期數 202103 (18:1期)
出版單位 朝陽科技大學理工學院
該期刊-上一篇 Mean and variance statistic for image processing on FPGA
該期刊-下一篇 A layer-sensitivity based artificial neural network for characterization of oil palm fruitlets
 

新書閱讀



最新影音


優惠活動




讀者服務專線:+886-2-23756688 傳真:+886-2-23318496
地址:臺北市館前路28 號 7 樓 客服信箱
Copyright © 元照出版 All rights reserved. 版權所有,禁止轉貼節錄