competitive adsorption of dye species onto biomass nanoporous carbon in single and bicomponent systems
Clicks: 212
ID: 254236
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
Popular Article
30.0
/100
212 views
27 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #38 of 63 articles by views in database and network journal
Most read
Least read
Bar heights use a square-root scale.
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
ABSTRACT We first present a cost-effective approach to simultaneously dispose of rutaceae plant waste (the discarded peels of orange, finger citron, pomelo and lemon) to yield biomass nanoporous carbons (BNCs). The adsorption of orange II (OII) and acid chrome blue K (ACBK) from aqueous solutions in single and binary dye systems by four types of BNCs were studied in a batch adsorption system. The adsorption studies include both equilibrium adsorption isotherms and kinetics. Four adsorption models for predicting the multicomponent equilibrium sorption isotherms have been compared in order to determine which one is the best fit model to predict or correlate binary adsorption data. The kinetic data were well described by the pseudo-second-order kinetic model. It was found that the adsorption capacity of orange peel-based nanoporous carbon (OPC) is much higher than those of the other types of BNCs. In addition, OPC also shows higher OII uptake capacities from binary dye solutions. The four types of BNCs could be employed as a low-cost alternative for the removal of textile dyes from effluents.
| Reference Key |
yubraziliancompetitive
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Huijing Yu;Tingting Wang;Wei Dai;Le Yu;Na Ma |
| Journal | database and network journal |
| Year | Year not found |
| DOI |
10.1590/0104-6632.20180351s20160578
|
| 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.