Qian Zhao

Dr. Qian Zhao

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
QZQian Zhao
Qian Zhao
Yu LiuYu Liu
Yu Liu

1 May 2020 in Journal of Environmental Management
Verified
Journal Article
Closed access
QZQian Zhao
Qian Zhao
MLMei Li
Mei Li
KZKefeng Zhang
Kefeng Zhang
NWNing Wang
Ning Wang
KWKaikai Wang
Kaikai Wang
RMRuimin Mu
Ruimin Mu

2 December 2019 in Processes
Verified
Journal Article
Open access
PDF file
Shujuan MengShujuan Meng
Shujuan Meng
HLHongju Liu
Hongju Liu
QZQian Zhao
Qian Zhao
NSNan Shen
Nan Shen
MZMinmin Zhang
Minmin Zhang
Membrane technology has been widely applied for water treatment, while membrane fouling still remains a big challenge. The polysaccharides in extracellular polymeric substances (EPS) have been known as a significant type of foulant due to their high fouling propensity. However, polysaccharides have many varieties which definitely behave differently in membrane filtration. Therefore, in this study, different polysaccharides alginate sodium and xanthan gum were chosen to study their effects on membrane fouling in a wide concentration range. The results demonstrated that the filtration behaviors of alginate sodium and xanthan gum were completely different, which was due to their different molecular structures. Alginate had a small molecular weight and it was easy for alginate to penetrate membrane pores resulting in pore blocking. A series of concentrations of alginate including 5 mg/L, 10 mg/L, 20 mg/L, 30 mg/L, 40 mg/L, and 50 mg/L were examined and it was found that the permeate flux decline highly depended on the level of alginate in the feed water. While for the filtration of xanthan gum, the same concentration of xanthan gum led to more serious fouling than that observed in alginate, which might be due to its large molecule. In addition, calcium chloride was added in the solutions of both alginate and xanthan gum to examine the influence of a divalent cation on polysaccharide fouling. A “unimodal” peak can be observed in the fouling propensity caused by Ca2+ and alginate with increasing the concentration of alginate. Such a phenomenon was not found in the fouling of xanthan gum and Ca2+ led to more serious fouling for all concentrations of xanthan gum. In light of this, this study gave new insights into the fouling propensities of different polysaccharides.

1 November 2020 in Chemosphere
Verified
Journal Article
Closed access
QZQian Zhao
Qian Zhao
CLChengfang Liu
Chengfang Liu
HSHongquan Song
Hongquan Song
YLYu Liu
Yu Liu
HWHongbo Wang
Hongbo Wang
MLMei Li
Mei Li

18 December 2021 in Membranes
Verified
Journal Article
Open access
PDF file
XMXianghao Meng
Xianghao Meng
FWFukuan Wang
Fukuan Wang
Shujuan MengShujuan Meng
Shujuan Meng
RWRui Wang
Rui Wang
ZMZhongyuan Mao
Zhongyuan Mao
Linyan YangLinyan Yang
Linyan Yang
It is difficult to recognize specific fouling mechanisms due to the complexity of practical feed water, thus the current studies usually employ foulant surrogates to carry out research, such as alginate and xanthan gum. However, the representativeness of these surrogates is questionable. In this work, the classical surrogates (i.e., alginate and xanthan gum) were systematically studied, and results showed that they behaved differently during filtration. For the mixture of alginate and xanthan gum, both filtration behaviors and adsorption tests performed by quartz-crystal microbalance with dissipation monitoring (QCM-D) indicated that alginate plays a leading role in fouling development. Furthermore, by examining the filtration behaviors of extracellular polymeric substances (EPS) extracted from practical source water, it turns out that the gel layer formation is responsible for EPS fouling, and the properties of gel layer formed by EPS share more similarities with that formed from pectin instead of alginate. In addition, with the use of experimental data sets extracted from this study and our previous studies, a modeling method was established and tested by the support vector machine (SVM) to predict complex filtration behaviors. Results showed that the small differences of fouling mechanisms lying between alginate and pectin cannot be recognized by Hermia’s models, and SVM can show a discrimination as high as 76.92%. As such, SVM may be a powerful tool to predict complex filtration behaviors.

1 December 2021 in Chemosphere
Verified
Journal Article
Closed access
QZQian Zhao
Qian Zhao
JTJizhen Tian
Jizhen Tian
KZKefeng Zhang
Kefeng Zhang
HWHongbo Wang
Hongbo Wang
MLMei Li
Mei Li
Yu LiuYu Liu
Yu Liu