Tailoring mesoporous Y-Zeolite molecular sieve for effective removal of micropollutants from water

Date published

2025-12-31

Free to read from

2025-03-12

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Publisher

American Chemical Society

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Article

ISSN

2690-0637

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Citation

Cen W, Wang B, Huang Y, et al., (2025) Tailoring mesoporous Y-Zeolite molecular sieve for effective removal of micropollutants from water. ACS ES&T Water, Available online 20 February 2025

Abstract

Overuse and misuse of antibiotics have led to persistent antibiotic residues in water, challenging conventional remediation approaches. This study developed a tailored molecular sieve material, i.e., mesoporous Y-zeolite (M-Y zeolite), through hydrothermal synthesis for tetracycline (TC) removal from simulated and real water matrices. The average pore size of M-Y zeolite was 3.16 nm, more than 1.7 times the second-widest dimension of the targeted TC molecule (0.81 nm), allowing for effective adsorption. With a specific surface area of 516 m2 g–1, M-Y zeolite achieved a maximum adsorption capacity of 88 mg g–1. The pseudo-second-order and Freundlich models indicated that adsorption occurred on a multilayer heterogeneous surface through chemisorption. The intraparticle diffusion model indicated that the adsorption process was governed by both liquid film diffusion and intraparticle diffusion. Mechanistic studies identified pore filling, complexation, and electrostatic interactions as the main adsorption mechanisms. After four regeneration cycles, the M-Y zeolite retained 66% of its initial adsorption capacity. In real water tests, removal efficiency slightly declined (4–14%) at 10 mg L–1 TC due to competing ions and organic matter but remained >99% at 0.1 and 1 mg L–1 TC. These findings offer a promising mesoporous material for antibiotic removal, marking a significant advancement in water treatment.

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Software Description

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Github

Keywords

advanced material, emerging contaminant, Y-zeolite, mesoporous, tetracycline, 40 Engineering, 41 Environmental Sciences, 4105 Pollution and Contamination, 4011 Environmental Engineering

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Attribution 4.0 International

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Funder/s

This work was supported by Fundamental Research Funds for the Central Universities (No. E3E40504X 2), the National Key R&D Program of China (No. 2022YFE0209500), and the Air Pollution Status Assessment and Refined Management Supporting Project of Qinghai Province (No. E341970201,E34050701).