Y. YU

Dr. Y. YU

South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People’s Republic of China, Guangzhou 510655, China
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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31 March 2022 in Water
Verified
Journal Article
Open access
PDF file
NTNian Tang
Nian Tang
Y. YUY. YU
Y. YU
LCLiqi Cai
Liqi Cai
XTXiangling Tan
Xiangling Tan
LZLulu Zhang
Lulu Zhang
XXXiangrong Xu
Xiangrong Xu
Current studies on microplastic pollution mainly focus on marine systems. However, few studies have investigated microplastics in an urban lake. This research intends to use an urban lake (Songshan Lake) as an example to explore the pollution characteristics of microplastics and use the principal component as well as the heat map analysis to discuss the relationships between different shapes of microplastics. According to this study, the average abundance of microplastics in the surface water and surface sediments of Songshan Lake were, respectively, 2.29 ± 0.98 items/m3 and 244 ± 121 items/kg; thin films were the major microplastics in both media; transparent this type of color has the most microplastic content. The particle size of microplastics was mainly 0.18–0.6 mm (43.3%) in surface water and 1–2 mm (48.3%) in surface sediments. The composition included five polymers: polyethylene (PE), polypropylene (PP), polypropylene–polyethylene copolymer (PP–PE copolymer), polystyrene (PS), and polyvinyl chloride (PVC), among which PE (47%) and PP (36%) were the main components. Principal component analysis (PCA) showed that there was a positive correlation among the four shapes of microplastics: films, fragments, foams, and fibers. The heat map analysis showed that the same category of shape distribution features may be similar for each sampling site.

YWYinghai Wu
Yinghai Wu
XRXinyu Rong
Xinyu Rong
CZCuiya Zhang
Cuiya Zhang
RZRenduo Zhang
Renduo Zhang
THTao He
Tao He
RHRui Han
Rui Han
The toxicity of nanomaterials to microorganisms is related to their dose and environmental factors. The aim of this study was to investigate the shifts in the microbial community structure and metabolic profiles and to evaluate the environmental factors in a laboratory scale intertidal wetland system exposed to zinc oxide nanoparticles (ZnO NPs). Microbial assemblages were determined using 16S rRNA high-throughput sequencing. Community-level physiological profiles were determined using Biolog-ECO technology. Results showed Proteobacteria was the predominant (42.6%–55.8%) phylum across all the sediments, followed by Bacteroidetes (18.9%–29.0%). The genera Azoarcus, Maribacter, and Thauera were most frequently detected. At the studied concentrations (40 mg·L−1, 80 mg·L−1, 120 mg·L−1), ZnO NPs had obvious impacts on the activity of Proteobacteria. Adverse effects were particularly evident in sulfur and nitrogen cycling bacteria such as Sulfitobacter, unidentified_Nitrospiraceae, Thauera, and Azoarcus. The alpha diversity index of microbial community did not reflect stronger biological toxicity in the groups with high NP concentrations (80 mg·L−1, 120 mg·L−1) than the group with low NP concentration (40 mg·L−1). The average well color development (AWCD) values of periodically submersed groups were higher than those of long-term submersed groups. The group with NP concentration (40 mg·L−1) had the lowest AWCD value; those of the groups with high NP concentrations (80 mg·L−1, 120 mg·L−1) were slightly lower than that of the control group. The beta diversity showed that tidal activity shaped the similar microbial community among the periodically submerged groups, as well as the long-term submerged groups. The groups with high DO concentrations had higher diversity of the microbial community, better metabolic ability, and stronger resistance to ZnO NPs than the groups with a low DO concentration.

28 March 2019 in Environmental Earth Sciences
Verified
Journal Article
Closed access
PDF file
TYTiantian Ye
Tiantian Ye
HLHangbin Li
Hangbin Li
Zhenxing WangZhenxing Wang
Zhenxing Wang
RHRongxin Huang
Rongxin Huang
Y. YUY. YU
Y. YU
XCXie Chunsheng
Xie Chunsheng