PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 24, 2024Polymer Bulletin90 citationsOpen Access

Adsorptive removal of synthetic dye from its aqueous solution by using chitosan-bentonite composite: DFT and experimental studies

View Full Paper
ZŞZeynep Mine ŞenolHEHüseyin ErtapYFYasmine Fernine

Key Points

  • Chitosan-bentonite composite effectively removes methyl orange dye from aqueous solutions, achieving a maximum adsorption capacity of 117 mg g−1.
  • Characterization using FT-IR spectroscopy, XRD, and SEM-EDX alongside density functional theory reveals hydrogen bonds and electrostatic forces.
  • Adsorption thermodynamics confirms the process is spontaneous and exothermic, highlighting the fit of the Langmuir model for dye uptake.

Abstract

Abstract This research investigates the adsorption efficiency of a chitosan-bentonite (Ch–B) composite in removing methyl orange (MO), a common textile dye, from aqueous solutions. The study integrates experimental and theoretical analyses, employing density functional theory (DFT) to gain insights into the molecular interactions between the composite material and MO molecules. The Ch–B composite was characterized using various techniques, including FT-IR spectroscopy, XRD, and SEM–EDX. The experimental results indicate that the Ch–B composite exhibits a high adsorption capacity for MO, with optimal conditions identified for efficient removal. The Langmuir model was found to best fit the experimental data and the adsorption capacity was 117 mg g −1 . Adsorption thermodynamics showed that the adsorption process was spontaneous, feasible, and exothermic. DFT calculation results are correlated with experimental findings to confirm theoretical predictions and improve the overall understanding of the adsorption process. Electronic structure calculations reveal the nature of the interactions between the Ch–B composite and MO molecules, including hydrogen bonds and electrostatic forces.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Şenol et al. (2024) studied this question.

synapsesocial.com/papers/68e68847b6db643587610204https://doi.org/10.1007/s00289-024-05323-9
Ask AI
Helpful
Bookmark
Share
View Full Paper