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Publication


Featured researches published by Yaoxia Yang.


Green Chemistry | 2016

A prewetting induced underwater superoleophobic or underoil (super) hydrophobic waste potato residue-coated mesh for selective efficient oil/water separation

Jian Li; Dianming Li; Yaoxia Yang; Jianping Li; Fei Zha; Zi Qiang Lei

Oil/water separation has recently become a worldwide challenge due to expanding industrial oily wastewater and frequent oil spill accidents. The development of a low-cost, biobased, and environmentally friendly material has been attempted to treat environmentally sensitive water pollution caused by oils. Herein, prewetting induced underwater superoleophobic or underoil (super) hydrophobic waste potato residue coated-mesh (PRCM) without any further chemical modification was demonstrated for the first time for selective oil/water separation, which was fabricated by spraying waste potato residue powders (PRP) and waterborne polyurethane (PU) mixtures on a stainless steel mesh. After the PRCM is prewetted with water, water can be removed from the light oil/water mixture by gravity with high separation efficiency. On the other hand, heavy oil can be removed from the oil/water mixture by gravity via the heavy oil prewetted PRCM. The as-prepared PRCM showed a high separation efficiency of above 96.5% for a series of light or heavy oil–water mixtures. In addition, the PRCMs maintained a high separation efficiency of over 98.0% and a stable recyclability even after 40 separation cycles for a kerosene–water mixture. Furthermore, the as-prepared PRCM exhibited excellent environmental stability under a series of harsh conditions that were used for the separation of mixtures of oil and various corrosive materials, including strong acidic, alkaline and salt aqueous solutions.


ACS Applied Materials & Interfaces | 2014

Facile Spray-Coating Process for the Fabrication of Tunable Adhesive Superhydrophobic Surfaces with Heterogeneous Chemical Compositions Used for Selective Transportation of Microdroplets with Different Volumes

Jian Li; Zhijiao Jing; Fei Zha; Yaoxia Yang; Qingtao Wang; Ziqiang Lei

In this paper, tunable adhesive superhydrophobic ZnO surfaces have been fabricated successfully by spraying ZnO nanoparticle (NP) suspensions onto desired substrates. We regulate the spray-coating process by changing the mass percentage of hydrophobic ZnO NPs (which were achieved by modifying hydrophilic ZnO NPs with stearic acid) in the hydrophobic/hydrophilic ZnO NP mixtures to control heterogeneous chemical composition of the ZnO surfaces. Thus, the water adhesion on the same superhydrophobic ZnO surface could be effectively tuned by controlling the surface chemical composition without altering the surface morphology. Compared with the conventional tunable adhesive superhydrophobic surfaces, on which there were only three different water sliding angle values: lower than 10°, 90° (the water droplet is firmly pinned on the surface at any tilted angles), and the value between the two ones, the water adhesion on the superhydrophobic ZnO surfaces has been tuned effectively, on which the sliding angle is controlled from 2 ± 1° to 9 ± 1°, 21 ± 2°, 39 ± 3°, and 90°. Accordingly, the adhesive force can be adjusted from extremely low (∼2.5 μN) to very high (∼111.6 μN). On the basis of the different adhesive forces of the tunable adhesive superhydrophobic surfaces, the selective transportation of microdroplets with different volumes was achieved, which has never been reported before. In addition, we demonstrated a proof of selective transportation of microdroplets with different volumes for application in the droplet-based microreactors via our tunable adhesive superhydrophobic surfaces for the quantitative detection of AgNO3 and NaOH. The results reported herein realize the selective transportation of microdroplets with different volumes and we believe that this method would potentially be used in many important applications, such as selective water droplet transportation, biomolecular quantitative detection and droplet-based biodetection.


Nanoscale | 2016

Superhydrophobic meshes that can repel hot water and strong corrosive liquids used for efficient gravity-driven oil/water separation.

Jian Li; Ruimei Kang; Xiaohua Tang; Houde She; Yaoxia Yang; Fei Zha


Materials Letters | 2012

Facile fabrication of superhydrophobic ZnO surfaces from high to low water adhesion

Jian Li; Yaoxia Yang; Fei Zha; Ziqiang Lei


Applied Surface Science | 2014

Reversible low adhesive to high adhesive superhydrophobicity transition on ZnO nanoparticle surfaces

Jian Li; Zhijiao Jing; Yaoxia Yang; Fei Zha; Long Yan; Ziqiang Lei


Surface & Coatings Technology | 2014

From Cassie state to Gecko state: A facile hydrothermal process for the fabrication of superhydrophobic surfaces with controlled sliding angles on zinc substrates

Jian Li; Zhijiao Jing; Yaoxia Yang; Qingtao Wang; Ziqiang Lei


Advanced Materials Interfaces | 2017

Fabrication of Attapulgite Coated Membranes for Effective Separation of Oil-in-Water Emulsion in Highly Acidic, Alkaline, and Concentrated Salty Environments

Jian Li; Zhihong Zhao; Yongqian Shen; Hua Feng; Yaoxia Yang; Fei Zha


Surface & Coatings Technology | 2018

Influence of water adhesion of superhydrophobic surfaces on their anti-corrosive behavior

Mengke Cui; Yongqian Shen; Haifeng Tian; Yaoxia Yang; Hua Feng; Jian Li


Separation and Purification Technology | 2019

Facile fabrication of superhydrophobic wood slice for effective water-in-oil emulsion separation

Xiangge Bai; Yongqian Shen; Haifeng Tian; Yaoxia Yang; Hua Feng; Jian Li


Journal of Membrane Science | 2018

Superwettable Coprinus comatus coated membranes used toward the controllable separation of emulsified oil/water mixtures

Yifei Long; Yongqian Shen; Haifeng Tian; Yaoxia Yang; Hua Feng; Jian Li

Collaboration


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Jian Li

Northwest Normal University

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Fei Zha

Northwest Normal University

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Hua Feng

Northwest Normal University

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Yongqian Shen

Lanzhou University of Technology

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Ziqiang Lei

Northwest Normal University

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Haifeng Tian

Northwest Normal University

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Zhijiao Jing

Northwest Normal University

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Dianming Li

Northwest Normal University

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Jianping Li

Northwest Normal University

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Qingtao Wang

Northwest Normal University

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