Photothermal‐Modulated Electrohydrodynamic Jet Printing of Flexible and Recyclable Photocatalytic Devices for Visible‐Light‐Driven Water Purification

ABSTRACT Powder‐based heterojunction photocatalysts suffer from aggregation, difficult recovery, and secondary pollution, limiting their practical applications in water remediation. Here, we develop a photothermal‐modulated electrohydrodynamic jet printing (PME‐Jet) strategy assisted by an artificial lemming algorithm‐optimized neural network (ALA‐ANN) for fabricating flexible and recyclable g‑C 3 N 4 /BiOI heterojunction photocatalytic devices on silanized quartz fiber fabrics. The coupled laser‐electric fields generate a transient thermal environment that accelerates droplet evaporation, suppresses nanoparticle aggregation, and enables uniform catalyst assembly without damaging the heterointerface. The ALA‐ANN model achieves 95% prediction accuracy for printed linewidth and reduces optimization time by ∼35%. The fabricated devices exhibit enhanced visible‐light photocatalytic degradation of Rhodamine B, Acid Fuchsin, Methylene Blue, and Congo Red, with reaction rates up to 20‐fold higher than pristine g‑C 3 N 4 and BiOI. Strong interfacial adhesion, flexibility, and recyclability effectively minimize catalyst loss and secondary pollution. Combined catalyst‐retention, residual‐solid, Inductively Coupled Plasma Mass Spectrometry, ecotoxicity, and Total Organic Carbon analyses indicate reduced catalyst‐release risk and favorable environmental compatibility under the investigated conditions. This work provides an intelligent manufacturing strategy for sustainable, flexible photocatalytic systems in water purification.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-09-16
DOI
https://doi.org/10.1002/adfm.78470
Primary Topic
Electrohydrodynamics and Fluid Dynamics
Type
article
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article

Photothermal‐Modulated Electrohydrodynamic Jet Printing of Flexible and Recyclable Photocatalytic Devices for Visible‐Light‐Driven Water Purification

Junyang Fang, Yang Lü, Jialiang Liu, Kai Li et al.
Advanced Functional Materials
Electrohydrodynamics and Fluid Dynamics
article

Photothermal‐Modulated Electrohydrodynamic Jet Printing of Flexible and Recyclable Photocatalytic Devices for Visible‐Light‐Driven Water Purification

Junyang Fang, Yang Lü, Jialiang Liu, Kai Li, Dazhi Wang, Ziang Wu, Meng Li
article en

Abstract

ABSTRACT Powder‐based heterojunction photocatalysts suffer from aggregation, difficult recovery, and secondary pollution, limiting their practical applications in water remediation. Here, we develop a photothermal‐modulated electrohydrodynamic jet printing (PME‐Jet) strategy assisted by an artificial lemming algorithm‐optimized neural network (ALA‐ANN) for fabricating flexible and recyclable g‑C 3 N 4 /BiOI heterojunction photocatalytic devices on silanized quartz fiber fabrics. The coupled laser‐electric fields generate a transient thermal environment that accelerates droplet evaporation, suppresses nanoparticle aggregation, and enables uniform catalyst assembly without damaging the heterointerface. The ALA‐ANN model achieves 95% prediction accuracy for printed linewidth and reduces optimization time by ∼35%. The fabricated devices exhibit enhanced visible‐light photocatalytic degradation of Rhodamine B, Acid Fuchsin, Methylene Blue, and Congo Red, with reaction rates up to 20‐fold higher than pristine g‑C 3 N 4 and BiOI. Strong interfacial adhesion, flexibility, and recyclability effectively minimize catalyst loss and secondary pollution. Combined catalyst‐retention, residual‐solid, Inductively Coupled Plasma Mass Spectrometry, ecotoxicity, and Total Organic Carbon analyses indicate reduced catalyst‐release risk and favorable environmental compatibility under the investigated conditions. This work provides an intelligent manufacturing strategy for sustainable, flexible photocatalytic systems in water purification.

Advanced Functional Materials
Ningbo University (CN), University of Nottingham Ningbo China (CN), Ningbo University of Technology (CN), Dalian University of Technology (CN), University of Hong Kong (HK)
Responsible consumption and production
Openalex Percentile: Top 20%
Electrohydrodynamics and Fluid Dynamics
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