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Growth inhibition and oxidative damage of Microcystis aeruginosa induced by crude extract of Sagittaria trifolia tubers 被引量:3
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作者 Jiang Li Yunguo Liu +7 位作者 pingyang zhang Guangming Zeng Xiaoxi Cai Shaobo Liu Yicheng Yin Xinjiang Hu Xi Hu Xiaofei Tan 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2016年第5期40-47,共8页
Aquatic macrophytes are considered to be promising in controlling harmful cyanobacterial blooms. In this research, an aqueous extract of Sagittaria trifolia tubers was prepared to study its inhibitory effect on Microc... Aquatic macrophytes are considered to be promising in controlling harmful cyanobacterial blooms. In this research, an aqueous extract of Sagittaria trifolia tubers was prepared to study its inhibitory effect on Microcystis aeruginosa in the laboratory. Several physiological indices of M. aeruginosa, in response to the environmental stress, were analyzed. Results showed that S. trifolia tuber aqueous extract significantly inhibited the growth of M. aeruginosa in a concentration-dependent way. The highest inhibition rate reached 90% after 6 day treatment. The Chlorophyll-a concentration of M. aeruginosa cells decreased from 343.1 to314.2 μg/L in the treatment group. The activities of superoxide dismutase and peroxidase and the content of reduced glutathione in M. aeruginosa cells initially increased as a response to the oxidative stress posed by S. trifolia tuber aqueous extract, but then decreased as time prolonged. The lipid peroxidation damage of the cyanobacterial cell membranes was reflected by the malondialdehyde level, which was notably higher in the treatment group compared with the controls. It was concluded that the oxidative damage of M. aeruginosa induced by S.trifolia tuber aqueous extract might be one of the mechanisms for the inhibitory effects. 展开更多
关键词 Microcystis aeruginosa Sagittaria trifolia Cyanobacterial inhibition Oxidative damage Antioxidant response
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Machine learning-driven molecular dynamics decodes thermal tuning in graphene foam composites
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作者 pingyang zhang Shaodong zhang +3 位作者 Yihan Qin Tingting Du Lei Wei Xiangyu Li 《npj Computational Materials》 2025年第1期2304-2314,共11页
Graphene foam(GF),synthesized via Chemical Vapor Deposition(CVD),has been proven to be the ideal bulk porous material.The addition of poly(dimethylsiloxane)(PDMS)within the porous structure enables enhancement of mech... Graphene foam(GF),synthesized via Chemical Vapor Deposition(CVD),has been proven to be the ideal bulk porous material.The addition of poly(dimethylsiloxane)(PDMS)within the porous structure enables enhancement of mechanical strength and alteration of heat transfer behavior.This study focuses on the thermodynamic behavior of GF/PDMS composites during deformation,and employs stochastic modeling and neuroevolution potential(NEP)for complex material modeling with precise prediction of microscopic mechanisms governing thermal property variations.The results demonstrate that the composite with a 5%doping rate of PDMS achieves the optimal mechanical performance and shows a 7.13-fold modulation in thermal resistance during the deformation from 40%stretching to 50%compression.Findings indicate PDMS fortifies structural stability while enabling dynamic thermal conductivity modulation in GF.This research provides critical insights into the micro-mechanisms of GF/PDMS composites and offers a theoretical foundation for applications in dynamic thermal management and self-powered sensor networks. 展开更多
关键词 enhancement mechanical strength porous structure chemical vapor deposition cvd stochastic modeling thermodynamic behavior alteration heat transfer complex material modeling graphene foam gf synthesized
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