The Use of Nanoparticle as Absorbent in the Remediation of the Physico-Chemical Properties of Crude Oil and Waste Water Contaminated Environment

In order to remove lead from an aqueous solution taken from industrial effluent and soil contaminated by crude oil, the study used snail shell nanoparticles, a plentiful and inexpensive resource. The adsorbent was described. The adsorbent was subjected to Fourier transform infrared (FTIR) examination. The morphological properties of the adsorbent were examined using a scanning electron microscope (SEM). Experimental data was optimization using Mathematica software 11.0.2.1. Temperature, contact time, and concentration were examined. Thermodynamics, kinetics, and equilibrium adsorption isotherms were examined. Langmuir, Freundlich, and isotherm models were used to assess the experimental data. Pseudo-first order, pseudo-second order, and intra-particle models were fitted to the kinetics data. The adsorption isotherm developed fits the Freundlich isotherm model well, according to the results, with the maximum correlation coefficient (R2) of 0.966. According to the thermodynamic study, the lead removal process by the snail shell nanoparticles was feasible, exothermic, and spontaneous. These findings suggest that lead can be successfully removed from aqueous solutions using snail shell nanoparticles as an adsorbent.

Authors

Publication Details

Published
2025-11-06
DOI
https://doi.org/10.38124/ijisrt/25oct1350
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Use of Nanoparticle as Absorbent in the Remediation of the Physico-Chemical Properties of Crude Oil and Waste Water Contaminated Environment

Chijioke A. Egbo, Godspwer O. Ashaka, Eromosele Abumere
Adsorption and biosorption for pollutant removal
article

The Use of Nanoparticle as Absorbent in the Remediation of the Physico-Chemical Properties of Crude Oil and Waste Water Contaminated Environment

Chijioke A. Egbo, Godspwer O. Ashaka, Eromosele Abumere
article en

Abstract

In order to remove lead from an aqueous solution taken from industrial effluent and soil contaminated by crude oil, the study used snail shell nanoparticles, a plentiful and inexpensive resource. The adsorbent was described. The adsorbent was subjected to Fourier transform infrared (FTIR) examination. The morphological properties of the adsorbent were examined using a scanning electron microscope (SEM). Experimental data was optimization using Mathematica software 11.0.2.1. Temperature, contact time, and concentration were examined. Thermodynamics, kinetics, and equilibrium adsorption isotherms were examined. Langmuir, Freundlich, and isotherm models were used to assess the experimental data. Pseudo-first order, pseudo-second order, and intra-particle models were fitted to the kinetics data. The adsorption isotherm developed fits the Freundlich isotherm model well, according to the results, with the maximum correlation coefficient (R2) of 0.966. According to the thermodynamic study, the lead removal process by the snail shell nanoparticles was feasible, exothermic, and spontaneous. These findings suggest that lead can be successfully removed from aqueous solutions using snail shell nanoparticles as an adsorbent.

Openalex Percentile: Top 70%
Adsorption and biosorption for pollutant removal
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Use of Nanoparticle as Absorbent in the Remediation of the Physico-Chemical Properties of Crude Oil and Waste Water Contaminated Environment — Chijioke A. Egbo, Godspwer O. Ashaka, et al. · (2025) | TGRS Research Map | TGRS