ArticleScientific reports2025
Simulation and optimization of copper, nickel, cadmium, and zinc removal from industrial wastewater using Aspen adsorption and RSM.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Eggshell-Activated Carbon from Water Hyacinths for Heavy Metal Removal from Wastewater: Isotherm and Kinetic Studies.Journal of xenobiotics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigates the challenge of heavy metal removal from industrial wastewater, focusing on environmental concerns. Conventional treatment methods are costly, energy-intensive, and produce toxic by-products. This research explores a cost-effective alternative using a weakly acidic resin (CH030) in an adsorption column to remove Copper (Cu), Nickel (Ni), Cadmium (Cd), and Zinc (Zn). The objective was to reduce metal concentrations at the column outlet to levels within the permissible limits set by USEPA standards. Simulation was performed using Aspen Adsorption software, and Response surface methodology (RSM) with central composite design was employed to identify key operational variables and optimize performance. The statistical analysis showed high R² values for Cu (0.9951), Ni (0.9939), Cd (0.9941), Zn (0.9941), and total metals (0.9943), indicating excellent model fitting. Kinetic studies confirmed that the pseudo-second-order model best described the adsorption process, and thermodynamic analysis validated the chemical nature of interactions. Operational parameters such as column height, feed flow rate, and initial metal concentration significantly influenced the adsorption efficiency, with initial concentration being the most influential factor. The optimal conditions were found to be a bed height of 288.27 cm, a flow rate of 9.28 L/s, and an inlet concentration of 301.06 mg/L. The novelty of this study lies in the integrated application of Aspen Adsorption simulation and RSM to simultaneously model and optimize the removal of heavy metals using CH030 resin, offering a scalable solution for industrial wastewater treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.