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Synergistic integration of Algerian Pozzolan into alginate matrix for enhanced dye removal: experimental insights and intelligent RSM/deep learning modelling

Drai, Ikram ; Beldjilali, Mohammed; Bailiche, Zohra; Bachir, Cherifa; Sassi, Mohamed; Weilder, Peter G. 1; Hamacha, Rachida
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)

Abstract:

This study focuses on the use of hybrid composites as sustainable materials for removing Methylene Blue (MB) dye. Our approach involves the exploitation of low-cost hybrid alginate/Pozzolan (Alg/PZT) prepared via simple mixing, by dispersing PZT particles within the Alg matrix. The synthesised composite as well as the parent materials were characterised using powder X-ray diffraction XRD, Fourier transform infrared spectroscopy (FTIR), nitrogen adsorption–desorption and thermogravimetric analysis and its derivative TGA/DTG. Both XRD and FTIR analysis confirmed the interaction between Alg matrix and PZT, through peak shifts and structural homogenisation, as well as a reduction in crystallite size from 20.56 nm to 13.71 nm, while adsorption analysis revealed enhanced textural properties. TGA/DTG demonstrated higher thermal stability of the composite than pure Alg, affirming robust Alg–PZT interactions. The MB adsorption was carried out via a batch system. Alg/PZT exhibited a high removal efficiency reaching 95% at 160 min, adsorbent dose of 0.75 g L$^{−1}$, MB solution of 20 mg L$^{−1}$ and pH 9. Equilibrium data were fitted by Langmuir and Hill isotherms models, indicating predominantly monolayer adsorption on heterogeneous active sites, while kinetics followed a pseudo-second-order model, suggesting chemisorption-controlled mechanisms. ... mehr


Originalveröffentlichung
DOI: 10.1080/03067319.2026.2640122
Scopus
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 0306-7319, 1026-7468, 1029-0397
KITopen-ID: 1000192262
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in International Journal of Environmental Analytical Chemistry
Verlag Taylor and Francis
Seiten 1–26
Vorab online veröffentlicht am 27.03.2026
Externe Relationen Siehe auch
Schlagwörter Hybrid biocomposite, Alginate polymer, natural Pozzolan, adsorption, response surface methodology, deep learning
Nachgewiesen in Web of Science
Scopus
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