robust adsorption of direct navy blue-106 from textile industrial effluents by bio-hydrogen fermented waste derived activated carbon: equilibrium and kinetic studies
Clicks: 225
ID: 151945
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
225 views
24 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #115 of 167 articles by views in Behavioural brain research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 167 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The developed bio-hydrogen fermented waste activated carbon (BHFW-AC) has proven to be a cost effective, highly efficient and eco-friendly adsorbent, an alternative (low cost) source of AC for the removal of Direct Navy Blue-106 (DNB-106). This study investigated the feasibility of BHFW at low temperature (100 °C) using chemical carbonization treatment with H3PO4 for 24 h. The parameters pH, temperature, initial dye concentration and contact time have been optimized by batch experiments to increase the adsorption efficiency of the BHFW-AC. Interestingly, the batch adsorption equilibrium data followed the Langmuir, Freundlich, Temkin and Dubinin–Radushkevich models with the Langmuir isotherm providing the best fit to the equilibrium data. On the other hand, the kinetic data followed closely the pseudo-second-order rate kinetic model. Besides, the thermodynamic study showed that the adsorption was a spontaneous endothermic process.
| Reference Key |
kanchi2017arabianrobust
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;S. Kanchi;K. Bisetty;Gopalakrishnan Kumar;M.I. Sabela |
| Journal | Behavioural brain research |
| Year | 2017 |
| DOI |
10.1016/j.arabjc.2013.11.050
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.