Weihong Jia
Chinese Academy of Sciences
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Featured researches published by Weihong Jia.
Journal of Dispersion Science and Technology | 2016
Juan Liu; Xiaocheng Li; Weihong Jia; Mingshan Ding; Yan Zhang; Sili Ren
Rapid separation of emulsified oil from oily wastewater is one of the most serious challenges faced in the petroleum industry. In this study, a rapid and efficient demulsifier, functionalized multiwalled carbon nanotubes (F-MWCNTs), was prepared and used to separate the emulsified oil from oily wastewater. Demulsification test showed that the oil removal efficiency could attain as high as 99.8% at an optimal condition within a few minutes. The micro-morphology of the oil–water mixture before and after demulsification was observed using a polarizing microscope. It was found that the fine oil droplets experienced a rapid coalescence to form oil phase floating on the water surface. Mechanism of the demulsification process was discussed. The introduction of the functional groups (such as ‒OH and ‒COOH) on the surfaces of F-MWCNTs enable them good amphiphilicity and therefore easily arriving at the oil/water interface to destroy the interfacial protective film mainly composed of asphaltenes and resins. The findings in this work showed that the F-MWCNT is an efficient nanomaterial to remove emulsified oil from the oily wastewater and might have wide application prospects in the petroleum industry. GRAPHICAL ABSTRACT
RSC Advances | 2016
Huanjiang Wang; Juan Liu; Haiyan Xu; Zhanwei Ma; Weihong Jia; Sili Ren
A series of reduced graphene oxide (rGO) materials was synthesized by simple, clean, and controlled hydrothermal reduction of graphene oxide (GO). The chemical composition and properties of the obtained rGO materials were characterized by FT-IR, UV-visible absorption spectroscopy, XPS, AFM, zeta potential measurement, and interfacial tension analysis. As two-dimensional surfactants, various samples of rGO were employed to demulsify an oil-in-water emulsion. The demulsification performance of various demulsifiers was found to be considerably improved with increasing the reduction degree of the GO. In particular, the demulsification efficiency could reach about 99.97% for the rGO-110 sample. Quantum chemical calculations with a high quantum level of density functional theory with the empirical dispersion corrections approach (DFT-D) were performed to understand the mechanism of demulsification. The results revealed that rGO has a stronger adsorbability for asphaltene molecules than GO does by π–π interaction. Due to the strong π–π interaction between the rGO nanosheets and the asphaltenes, the protective film stabilizing the oil-in-water emulsion was more easily destroyed, thus promoting the oil droplets to coalesce to realize the separation of oil from water.
Journal of Dispersion Science and Technology | 2018
Huanjiang Wang; Haiyan Xu; Weihong Jia; Sili Ren
ABSTRACT Functionalized carbon black (F-CB) nanoparticles were synthesized by covalently grafting the polyvinyl alcohol on carbon black (CB) surfaces and used as demulsifier to separate the oil from the emulsified oily wastewater. The bottle test showed that the residual oil content in the separated water was as low as ∼50 mg/L corresponding to a demulsification efficiency of about 99.90% at an optimal condition within a few minutes. It was believed that the surface wettability of the carbon black could be tuned by modifying with the PVA molecules, which enables the F-CB nanoparticles to be readily migrated to the oil/water interface and have the opportunity to interact with and/or displace the stabilizers of the emulsion. As a result, the demulsification process was accomplished with the coalescence of the oil droplets promoted by the F-CB nanoparticles. The interaction behavior between F-CB nanoparticles and asphaltenes was investigated by quantum chemical calculations. The results showed that the F-CB nanoparticles have strong interaction with the asphaltene molecules in form of π−π and θ−π forces. The findings in present study are significant for understanding the demulsification mechanism and also provide a novel demulsifier for the demulsification of emulsified oily wastewater. GRAPHICAL ABSTRACT
Journal of Dispersion Science and Technology | 2016
Yan Zhang; Mingshan Ding; Weihong Jia; Juan Liu; Sili Ren
Effects of ammonium surfactants with different hydrocarbon chain lengths (C8, C12, C16, and C18) on the colloidal forces between bitumen and silica were studied by atomic force microscopy. The results showed that the chain length of the ammonium surfactants had a significant impact on both the long-range interaction and adhesion forces. With the addition of surfactants with relative short chains of C8 and C12 in the solutions, the long-range repulsive force decreased or even became strong attractive force, while it became repulsive again in solutions of surfactants with long chains of C16 and C18. It was further observed that addition of Ca2+ in various surfactants solutions would either depress or enhance the colloidal interactions based on the surfactant chain lengths. It was believed that variation of the interaction behaviors resulted from the mono-layer or bilayer adsorption of various surfactant molecules on the negatively charged surfaces of bitumen and silica, which affected the surface wettability and the surface charge characteristics and then greatly changed the colloidal interactions. The findings indicated that, to have a high bitumen recovery and good froth quality, the surfactant type and concentration of the di-valent metal ions in the oil sand processing slurry must be well considered. GRAPHICAL ABSTRACT
Energy & Fuels | 2015
Juan Liu; Xiaocheng Li; Weihong Jia; Zhiyun Li; Ya-Pu Zhao; Sili Ren
Energy & Fuels | 2012
Yanhong Wang; Weihong Jia; Mingshan Ding; Hongqiang Yang; Bin Hu; Sili Ren
Aiche Journal | 2014
Mingshan Ding; Yan Zhang; Juan Liu; Weihong Jia; Bin Hu; Sili Ren
Fuel | 2017
Juan Liu; Huanjiang Wang; Xiaocheng Li; Weihong Jia; Ya-Pu Zhao; Sili Ren
Archive | 2013
Weihong Jia; Sili Ren; Bin Hu; 任嗣利
Colloids and Surfaces A: Physicochemical and Engineering Aspects | 2015
Yan Zhang; Mingshan Ding; Juan Liu; Weihong Jia; Sili Ren