Copper Removal with Zeolite/Polylactic Acid Beads: Neural Networks and Fixed‐Bed Column Insights DOI

Kaila C. Alcantara,

Kristine V. Lucido,

Kirk Hubert R. Mabilangan

et al.

Chemical Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 19, 2025

Abstract In this study, we evaluate the adsorption efficiency of Philippine natural zeolite/polylactic acid (PNZ/PLA) composite beads for copper removal in fixed‐bed columns. The were synthesized via alginate cross‐linking and characterized structural, thermal, properties. Fourier‐transform infrared (FTIR) spectroscopy confirmed polymer–zeolite interactions Cu 2+ coordination, whereas thermogravimetric analysis (TGA) X‐ray diffraction (XRD) indicated improved thermal stability zeolite modifications. Scanning electron microscopy (SEM)–X‐ray (EDX) verified uptake reduced porosity. Response surface methodology (RSM) optimization predicted high efficiency, validated experimentally. Breakthrough modeling mass transfer–controlled adsorption, artificial neural network (ANN) provided superior predictive accuracy. Reusability tests showed sustained highlighting our beads’ potential wastewater treatment.

Language: Английский

Copper Removal with Zeolite/Polylactic Acid Beads: Neural Networks and Fixed‐Bed Column Insights DOI

Kaila C. Alcantara,

Kristine V. Lucido,

Kirk Hubert R. Mabilangan

et al.

Chemical Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 19, 2025

Abstract In this study, we evaluate the adsorption efficiency of Philippine natural zeolite/polylactic acid (PNZ/PLA) composite beads for copper removal in fixed‐bed columns. The were synthesized via alginate cross‐linking and characterized structural, thermal, properties. Fourier‐transform infrared (FTIR) spectroscopy confirmed polymer–zeolite interactions Cu 2+ coordination, whereas thermogravimetric analysis (TGA) X‐ray diffraction (XRD) indicated improved thermal stability zeolite modifications. Scanning electron microscopy (SEM)–X‐ray (EDX) verified uptake reduced porosity. Response surface methodology (RSM) optimization predicted high efficiency, validated experimentally. Breakthrough modeling mass transfer–controlled adsorption, artificial neural network (ANN) provided superior predictive accuracy. Reusability tests showed sustained highlighting our beads’ potential wastewater treatment.

Language: Английский

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