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Hong Jia Lin

Researcher at South China University of Technology

Publications -  35
Citations -  268

Hong Jia Lin is an academic researcher from South China University of Technology. The author has contributed to research in topics: Chemistry & Engineering. The author has an hindex of 1, co-authored 1 publications receiving 11 citations.

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Fabrication of fibrous MXene nanoribbons (MNRs) membrane with efficient performance for oil-water separation

TL;DR: In this article , a two-dimensional fibrous MXene nanoribbons (MNRs) were firstly prepared and then combined with mixed cellulose (MCE) membrane to obtain a novel twodimensional MCE-MNR-s membrane, which exhibited superhydrophilicity and underwater superoleophobicity.
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Ultrasound-assisted catalytic activation of peroxydisulfate on Ti3GeC2 MAX phase for efficient removal of hazardous pollutants

TL;DR: In this article , the MAX phase was synthesized using the reactive sintering method and characterized via various techniques, including X-ray diffraction pattern and layered morphology with the compacted structure, and the catalytic activity of the MAX was evaluated for activation of peroxydisulfate under ultrasound (US) irradiation.
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Enriching Fe3O4@MoS2 composites in surface layer to fabricate polyethersulfone (PES) composite membrane: The improved performance and mechanisms

TL;DR: In this article , a composite membrane was fabricated by enriching Fe3O4@MoS2 in the membrane's upper layer with the assistance of a magnetic field, which endowed the composite membrane with enhanced permeability, rejection and selfcleaning performance for filtration of typical foulant (bovine serum albumin (BSA) and humic acid (HA)) solutions.
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High propensity of membrane fouling and the underlying mechanisms in a membrane bioreactor during occurrence of sludge bulking.

TL;DR: In this article , the authors compared the fouling behaviors of normal and sludge bulking in membrane bioreactors and found that the normal sludge had rather lower dewaterability, smaller particle size, higher fractal dimension, higher viscosity, abundant filamentous bacteria and different functional groups of extracellular polymer sustains (EPS).
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A novel method integrating response surface method with artificial neural network to optimize membrane fabrication for wastewater treatment

TL;DR: In this paper , a method integrating response surface method (RSM) with artificial intelligence was proposed to optimize ENP conditions for polyvinylidene fluoride-nickel (PVDF-Ni) membrane fabrication.