preparation and characterization of novel nano-mineral for the removal of several heavy metals from aqueous solution: batch and continuous systems

Clicks: 196
ID: 149992
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.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #138 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 minted

Create 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
Results of studies of the sorption activity of diatomite nanoparticles, diatomite–perlite composite nanoparticles and perlite nanoparticles that was provided from internal resource at Iran, with respect to Fe(II), Cu(II), Mn(II) and Cr(III) ions are presented. Thus, diatomite nanoparticles, diatomite–perlite composite nanoparticles and perlite nanoparticles were modified and prepared via particle size decreasing and characterized by XRD, XRF, BET, SEM, TEM and FT-IR. In the batch system the influence of pH, adsorbent dosage, temperature and ions initial concentration was investigated. The results of isotherm and kinetics studies show that the Langmuir isotherm and pseudo-second order kinetic showed better correlation with the experimental data. Calculations of thermodynamic parameters show the negative ΔG° values or spontaneous reaction, the enthalpy (ΔH°) change shows the endothermic process and values of ΔS° indicate low randomness at the solid/solution interface during the uptake of ions. Finally, three adsorbents were packed inside a glass column as a continuous system and the breakthrough curves were obtained. All results show that the ion affinity to adsorption onto adsorbents is as follows: Cu(II) > Fe(II) > Mn(II) > Cr(III). So, these abundant, locally available cheap minerals showed a greater efficiency for the removal of metal ions from the aqueous solution, also can be utilized for other water pollutants.
Reference Key
shabani2017arabianpreparation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Kumars Seifpanahi Shabani;Faramarz Doulati Ardejani;Khashyar Badii;Mohammad Ebrahim Olya
Journal Behavioural brain research
Year 2017
DOI
10.1016/j.arabjc.2013.12.001
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.