A chemometric approach using I-optimal design for optimising Pb(II) removal using bentonite-chitosan composites and beads.

Bentonite-chitosan composites I-optimal design Pb(II) adsorption

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
23 Sep 2024
Historique:
received: 17 05 2024
revised: 28 08 2024
accepted: 16 09 2024
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 24 9 2024
Statut: aheadofprint

Résumé

This paper reports adsorption studies of Pb(II) ions onto Bentonite-Chitosan (Bt-Ch) composites or beads when using an I-optimal design experiment approach. Three adsorption factors (pH, adsorbent dosage, and initial concentration) were optimised whilst simultaneously investigating multiple adsorbents. The Bt-Ch composites and beads (type A and B) adsorbents were made using weight ratios 90%/10% and differed characteristically due to their preparation methods of solution blending and precipitation, respectively. A batch procedure was used for adsorption experiments, and the amounts of Pb(II) ions (adsorbed onto Bt-Ch composites/beads) were analysed using inductively coupled plasma optical emission spectrometry (ICP-OES). Adsorption experimental parameters were analysed and optimised by using a response surface method (I-optimal design) generated from Design-Expert® 13.0 software. The main achievements of this study were to intensify the understanding and application of I-optimal experimental designs, which allow simultaneous determination of adsorption capacities and efficiencies across multiple adsorbents in an economical manner. A reduced quadratic model provided the best fit for the experimental data and exhibited minimal deviation between predicted and experimental values. This was evidenced by the very small covariance (CV) values of 1.81% and 1.33% observed for adsorption capacity and adsorption efficiency, respectively, also suggesting high reproducibility. It was observed that the adsorption factors studied (pH, adsorbent dose, and initial concentration) have a more pronounced effect on the adsorption capacity (F-value = 714.37) compared to adsorption efficiency (F-value = 140.62). Adsorbent dosage was found to have the greatest effect on adsorption capacity, while the initial pH of Pb(II) solution had the greatest effect on adsorption efficiency. Under optimal conditions, the adsorption capacities of beads-A (73.2 mg/g) and beads-B (77.6 mg/g) were found to be higher than that of the corresponding composite (51.7 mg/g). Whilst the optimum adsorption efficiency values for all three adsorbents were ∼100% (with ranges of pH 2-5, initial concentrations 50-200 mg/L, and adsorbent dosage 0.05-0.5 mg). The desirability indexes for the optimised conditions for these respective responses (and each adsorbent) were found to be within the ranges of 0.892-0.974 and 0.945-0.967 for adsorption capacity and adsorption efficiency, respectively. These high desirability index values for both responses indicate that the optimised conditions lead to very good performance for both measures. The information obtained in this study provides detailed understanding of the adsorption phenomena of the adsorbents studied. It gives confidence in the use of I-optimal designs to be applied as a chemometric tool for the specific adsorbents studied herein and others.

Identifiants

pubmed: 39316879
pii: S0301-4797(24)02543-X
doi: 10.1016/j.jenvman.2024.122557
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122557

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Hassan Majiya (H)

Materials and Engineering Research Institute, Sheffield Hallam University, City Campus, Sheffield, S1 1WB, South Yorkshire, UK; Department of Chemistry, Faculty of Natural Sciences, Ibrahim Badamasi Babangida University, Minna Road, Lapai 911101, Niger, Nigeria. Electronic address: majiyahassan@gmail.com.

Francis Clegg (F)

Materials and Engineering Research Institute, Sheffield Hallam University, City Campus, Sheffield, S1 1WB, South Yorkshire, UK. Electronic address: f.clegg@shu.ac.uk.

Chris Sammon (C)

Materials and Engineering Research Institute, Sheffield Hallam University, City Campus, Sheffield, S1 1WB, South Yorkshire, UK.

Classifications MeSH