Xiaobin Zhou

Dr. Xiaobin Zhou


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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25 November 2020 in Environmental Science & Technology
Verified
Journal Article
Closed access
XZXiaobin Zhou
Xiaobin Zhou
XLXiaoling Li
Xiaoling Li
JWJianwen Wei
Jianwen Wei
YFYinming Fan
Yinming Fan
LLLei Liao
Lei Liao
HWHongqiang Wang
Hongqiang Wang

5 January 2024 in Chemical Engineering Journal
Verified
Journal Article
Closed access
CLChao Liu
Chao Liu
GJGuohua Jing
Guohua Jing
ZZZongqiang Zhu
Zongqiang Zhu
YFYinming Fan
Yinming Fan
SMShengpeng Mo
Shengpeng Mo
XZXiaobin Zhou
Xiaobin Zhou

31 January 2025 in ACS Catalysis
Verified
Journal Article
Closed access
Shengpeng MoShengpeng Mo
Shengpeng Mo
SLShuangde Li
Shuangde Li
JZJiangjing Zhou
Jiangjing Zhou
XZXin Zhao
Xin Zhao
HZHuimin Zhao
Huimin Zhao
JLJunhua Li
Junhua Li

ZZZongqiang Zhu
Zongqiang Zhu
SZShuai Zhou
Shuai Zhou
XZXiaobin Zhou
Xiaobin Zhou
Shengpeng MoShengpeng Mo
Shengpeng Mo
YZYinian Zhu
Yinian Zhu
YFYinming fan
Yinming fan
Arsenic is highly toxic and carcinogenic. The aim of the present work is to develop a good remediation technique for arsenic-contaminated soils. Here, a novel remediation technique by coupling electrokinetics (EK) with the permeable reactive barriers (PRB) of Fe/Mn/C-LDH composite was applied for the remediation of arsenic-contaminated soils. The influences of electric field strength, PRB position, moisture content and PRB filler type on the removal rate of arsenic from the contaminated soils were studied. The Fe/Mn/C-LDH filler synthesized by using bamboo as a template retained the porous characteristics of the original bamboo, and the mass percentage of Fe and Mn elements was 37.85%. The setting of PRB of Fe/Mn/C-LDH placed in the middle was a feasible option, with the maximum and average soil leaching toxicity removal rates of 95.71% and 88.03%, respectively. When the electric field strength was 2 V/cm, both the arsenic removal rate and economic aspects were optimal. The maximum and average soil leaching toxicity removal rates were similar to 98.40% and 84.49% of 3 V/cm, respectively. Besides, the soil moisture content had negligible effect on the removal of arsenic but slight effect on leaching toxicity. The best leaching toxicity removal rate was achieved when the soil moisture content was 35%, neither higher nor lower moisture content in the range of 25–45% was conducive to the improvement of leaching toxicity removal rate. The results showed that the EK-PRB technique could effectively remove arsenic from the contaminated soils. Characterizations of Fe/Mn/C-LDH indicated that the electrostatic adsorption, ion exchange, and surface functional group complexation were the primary ways to remove arsenic.

1 January 2025 in Water Cycle
Verified
Journal Article
Open access
XZXiaobin Zhou
Xiaobin Zhou
CZChenyu Zhou
Chenyu Zhou
MHMin Huang
Min Huang
YWYingxue Wang
Yingxue Wang
MZMengxin Zhao
Mengxin Zhao
ZZZongqiang Zhu
Zongqiang Zhu

27 August 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
WXWei Xu
Wei Xu
LLLei Liao
Lei Liao
DLDongliang Liao
Dongliang Liao
FLFuli Li
Fuli Li
AQAimiao Qin
Aimiao Qin
YFYinming fan
Yinming fan
The distributional characteristics of microorganisms in karst cave ecosystems have been widely studied. However, in such a dark, humid, and oligotrophic habitat, studies on the differences in carbon-sequestering bacteria in multiple habitats are limited. Therefore, to learn the distribution characteristics of carbon-sequestering colonies in cave habitats and their correlation with habitat factors (e.g., pH, Ca2+, Mg2+, etc.), samples from five cave habitats (weathered rock walls, underground river water, drips, sediments, and air) were collected from the twilight and dark zones of Shiziyan Cave (CO2 concentration 5385 ppm). The results of high-throughput sequencing and statistical analyses showed that there were significant differences in the distribution of communities in different habitats, with higher abundance in sediments habitat and underground river water habitat, and the dominant phyla of Pseudomonadota (30.53%) and Cyanobacteria (75.11%) in these two habitats. The microbial diversity of the carbon-sequestering microbial community was higher in sediments than in underground river water. The pH, and Ca2+, SO42−, and NO3− concentrations can alter the diversity of carbon-sequestering microbes, thereby affecting carbon cycling in caves. Carbon metabolism analyses suggest that microbes in the habitat can cooperate and coexist by participating in different carbon metabolic pathways. These results expanded our understanding of carbon-sequestering microbial communities in cave systems and their responses to the environment.