Article
Chemistry, Applied
Jingshu Cui, Xiaojun Niu, Dongqing Zhang, Jinling Ma, Xifen Zhu, Xiaoxian Zheng, Zhang Lin, Mingli Fu
Summary: A novel flocculation strategy using chitosan-amphoteric starch (C-A) dual flocculants was proposed for simultaneously removing Microcystis aeruginosa and algal organic matter (AOM), providing new insights for harmful algal bloom control in an efficient, cost-effective and ecologically friendly way.
CARBOHYDRATE POLYMERS
(2023)
Article
Multidisciplinary Sciences
Go Furusawa, Koji Iwamoto
Summary: This study investigates the potential of dead cells of a marine filamentous bacterium as a novel flocculant for removing harmful microalgae. The results show that the dead cells can effectively remove the microalgae cells, and the combination with a low concentration of FeCl3 further improves the removal efficiency.
Article
Engineering, Environmental
Yong Nie, Zimin Wang, Wei Wang, Zhengyu Zhou, Yanli Kong, Jiangya Ma
Summary: This study investigated the efficiency and key parameters of an eco-friendly fungal bio-flocculant, Aspergillus oryzae, in removing microalgae. The study revealed the mechanism behind the removal process and found that A. oryzae has the potential to effectively remove microalgae.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Environmental Sciences
Qingyun Zhai, Lili Song, Saihua Huang, Xiyan Ji, Yueshu Yu, Jing Ye, Hua Wei, Wenwu Xu, Meifang Hou
Summary: AOPs can effectively treat harmful algal blooms (HABs). This study established Fe2+/sodium percarbonate (Fe2+/SPC system) and Fe2+/sodium persulfate (Fe2+/PS system) to investigate the removal mechanism of Microcystis aeruginosa (M. aeruginosa). The Fe2+/SPC system generated a large amount of center dot OH for oxidation and promoted the flocculation of M. aeruginosa, while Fe2+/PS system realized oxidation and flocculation through the activation of persulfate and generation of super-oxidizing SO4 center dot(-).
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
Longfei Chen, Xiran Wu, Chao Liu, Yunmeng Zhao, Qing Huang
Summary: The modified attapulgite mixed with ferroferric oxide produced a magnetic composite material (MCM) that can efficiently remove M. aeruginosa and adsorb Cr (VI) in wastewater. The MCM showed removal rates of over 96% for M. aeruginosa and 95% for Cr (VI) within short time frames, demonstrating its potential for wastewater treatment.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2021)
Article
Biotechnology & Applied Microbiology
Hangjun Zhang, Xizi Li, Dexin Wu, Bingzhi Yu, Shihuan Lu, Jiajun Wang, Jiafeng Ding
Summary: Developing safe and efficient materials for removing harmful algae in eutrophication waters remains a significant challenge. This study presents a novel strategy of combining Zinc oxide (ZnO) with carbon nitride composites to collect intact Microcystis aeruginosa cells effectively. Different dosages of g-C3N4 precursors were tested, and the synthesized catalysts were characterized. The results showed that the ZnO/CN (2:1) system removed 93.0% of algae cells within 10 minutes at a dose of 4.0 g L-1, with the final removal efficiency exceeding 90.0%. The study also revealed the mechanism of ZnO/CN and its potential application in treating cyanobacterial blooms.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2023)
Article
Environmental Sciences
Xing Gao, Weiying Feng, Jingtian Zhang, Hanxiao Zhang, Shouliang Huo
Summary: In this study, Cu2+ doped biochar composites (Cu-BCs) were successfully fabricated for in-situ inactivation of Microcystis aeruginosa and simultaneous removal of microcystin-LR (MC-LR). The Cu-BC-2.5 exhibited the best algae inactivation performance with a lowest EC50 value of 0.34 mg/L and highest degradation efficiency of 8.31 g/g. The Cu-BC-2.5 maintained good inactivation performance in the near-neutral pH, presence of humic acid and salts. The synergistic effect between biochar and Cu2+ contributed to the excellent inhibitory effect.
ENVIRONMENTAL POLLUTION
(2023)
Article
Biochemistry & Molecular Biology
Xiaolei Ma, Duomo Duan, Xi Chen, Xuemin Feng, Yuhui Ma
Summary: This study investigated the purification and characterization of a polysaccharide-based bioflocculant from banana peel waste. The results showed that the bioflocculant had high stability at different pH levels and temperatures, and exhibited removal activity towards pigments, heavy metals, and particles.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Article
Engineering, Environmental
Setyo Budi Kurniawan, Siti Rozaimah Sheikh Abdullah, Ahmad Razi Othman, Ipung Fitri Purwanti, Muhammad Fauzul Imron, Nur'Izzati Ismail, Azmi Ahmad, Hassimi Abu Hasan
Summary: This study isolated the WS5 strain from aquaculture effluent, which showed potential as a bioflocculant agent for turbidity removal in water. Experimental results indicated that WS5 exhibited better flocculation activity in high turbid water, possibly due to effective flocculation process through polymer bridging.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Engineering, Environmental
Yazhou Peng, Xiongwei Yang, Bozhi Ren, Zhi Zhang, Xinping Deng, Wei Yin, Saijun Zhou, Siyuan Yang
Summary: Algal blooms are a significant environmental issue that impacts the water quality of drinking water treatment plants. This study examined the effects of different ultrasonic methods on Microcystis aeruginosa and the enhancement of drinking water treatment processes. The results showed that the removal rate of algae cells increased over time, with static ultrasound being more effective than dynamic ultrasound. However, dynamic ultrasound radiation resulted in less release of algae organics and toxins. Scanning electron microscope and transmission electron microscope analyses revealed that ultrasonic radiation damaged parts of the cell structure but not the integrity of the algae cells' membrane and wall. The use of 740 kHz ultrasonic waves significantly improved the removal efficiency of algae cells in sedimentation tanks, reduced the treatment pressure of the filter, and released fewer algae cell substances, thus lowering the risk of disinfection byproduct generation. This study is highly significant in the application of ultrasound in water purification technology and ensuring water quality safety.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Environmental Sciences
Haiyang Zhang, Lili Li, Shaozhe Cheng, Cheng Li, Fangzhou Liu, Peizhong Wang, Lianjun Sun, Junbo Huang, Wen Zhang, Xuezhi Zhang
Summary: Co-coagulation flotation (CCF) is a novel flotation technology that is more efficient in algal removal compared to traditional mechanical coagulation flotation (MCF). This study compared the algal removal performance of continuous CCF and MCF using water samples from Lake Dianchi with severe Microcystis aeruginosa blooms. The results showed that CCF saved more than 50% of the coagulant/flocculant dosage compared to MCF while achieving a removal efficiency of over 95%. The flocs formed in CCF were larger, more spherical, and had a higher fractal dimension compared to those in MCF.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Feng Zeng, Hanghai Zhou, Xiaoyun Lin, Yanhong Li, Yanpeng Liang, Qinglin Xie, Edidiong Okokon Atakpa, Chaofeng Shen, Chunfang Zhang
Summary: In this study, a bacterial strain named Bacillus sp. SS15, capable of producing both bioflocculant (BF) and biosurfactant (BS), was isolated from oil-contaminated mudflat sediment. The BS produced by SS15 was identified as lipopeptide, which showed excellent surface tension reduction and strong tolerance. Meanwhile, the BF produced by SS15 exhibited high flocculating activity and was confirmed to be thermostable, salttolerant, and alkaliphilic. Through combined treatment of bioremediation and flocculation, the removal of various pollutants was greatly promoted. The genome analysis revealed abundant genes related to BF and BS synthesis in strain SS15. The findings demonstrate the promising prospect of Bacillus sp. SS15 in the remediation of fracturing flowback fluids (FFFs).
Article
Environmental Sciences
Wenli Qin, Kairong Qian, Xueya Liu, Xinyi Zhang, Zefei Chen, Min Wang, Yang Jia, Zengling Ma
Summary: The flocculation of Microcystis aeruginosa by oyster shell powders prepared by different calcination methods was studied. CO800 (100 mesh) and CN800 (160 mesh) presented the highest flocculation rates of 89.46% and 77.39%, respectively. The algae cells flocculated by CO800 with particle size of 100 mesh were not significantly damaged, and the phosphorus nutrient could be effectively removed by CO800 and CN800, resulting in the inhibition of Microcystis aeruginosa growth.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Xiaonan Tang, Alan D. Steinman, Qingju Xue, Yan Xu, Liqiang Xie
Summary: This study investigated the simultaneous removal effects of electrochemical oxidation with boron-doped diamond anodes at different current densities on Microcystis aeruginosa and sulfamethoxazole. The results showed that the degradation effect of electrochemical oxidation increased with higher current densities, but it also affected the physiological states of M. aeruginosa and Vallisneria spiralis leaf cells.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Xiaoxian Zheng, Xiaojun Niu, Dongqing Zhang, Xingyao Ye, Jinling Ma, Mengyu Lv, Zhang Lin
Summary: This study investigated the feasibility of removing Microcystis aeruginosa by using ubiquitous natural pyrite to activate persulfate. The results showed that the reactive oxygen species generated during the activation process played a key role in facilitating the destabilization of algae cells and the continuous formation of oxidation layers on pyrite surface favored coagulation. The study highlighted the dual role of iron species as both catalyst and coagulant for algae removal, demonstrating the high efficiency and cost-effectiveness of using pyrite/persulfate system.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Physics, Multidisciplinary
Xiafei Tang, Yuyang Zhou, Yiqun Zou, Qichun Zhang
Summary: This paper investigates the randomness assignment problem for a class of continuous-time stochastic nonlinear systems. A novel backstepping-based design approach is presented to convert the stochastic nonlinear system to a linear stochastic process, allowing for the analytical formulation of variance and entropy. The stability of the proposed design scheme is guaranteed and the multi-variate case is also discussed.
Article
Computer Science, Artificial Intelligence
Jingjing Liu, Yefeng Liu, Qichun Zhang
Summary: The weight initialization of neural networks has a significant impact on the learning process. This paper proposes an improved and extended method called GLIT for weight initialization, which is suitable for higher-dimensional inputs. GLIT can expand the selection range of the activation function and improve the performance of the network.
Article
Chemistry, Analytical
Jinhui Zhao, Tianyu Hu, Qichun Zhang
Summary: This paper proposes a new intelligent recognition method for concrete ultrasonic detection based on wavelet packet transform and a convolutional neural network (CNN). The study validates the method through a case study showing high detection accuracy for both four-classifying and six-classifying CNN models.
Editorial Material
Soil Science
Yonghong Wu, Pengfei Sun, Jan Dolfing, Chengrong Chen
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
(2022)
Article
Microbiology
Pengfei Sun, Yin Chen, Junzhuo Liu, Ying Xu, Lei Zhou, Yonghong Wu
Summary: Based on a national-scale field investigation in China, the nitrogen accumulation potential of periphytic biofilms decreases with increasing latitude and longitude. The nitrogen cycling pathways suggest that soil nitrogen and N-2 are two potential sources for nitrogen accumulation, while some of the accumulated nitrogen may be lost through emissions. Periphytic biofilms are beneficial for enhancing nitrogen content in paddy fields, but they also accelerate greenhouse gas emissions.
ENVIRONMENTAL MICROBIOLOGY
(2022)
Article
Environmental Sciences
Xiaoting Liu, Qichun Zhang, Xiaoyu Yang, Dan Wu, Yong Li, Hongjie Di
Summary: To solve nitrogen pollution in environmental water, two strains, Achromobacter sp. strain HNDS-1 and Enterobacter sp. strain HNDS-6, were isolated from acid paddy soil and identified as heterotrophic nitrifying and aerobic denitrifying strains. Both strains showed remarkable ability in removing nitrogen, with strain HNDS-1 achieving removal efficiencies of 93.31% for NH4+-N, 89.47% for NO3--N, and 100% for NO2--N when using different nitrogen resources. Genomic analysis identified key enzymes and transport proteins involved in nitrogen removal pathways. Further analysis revealed denitrification pathways of NO3-- > NO2-- > NO -> N2O -> N-2 for strain HNDS-1 and strain HNDS-6, while the nitrification pathway of NH4+ -> NO2- requires further investigation.
ENVIRONMENTAL RESEARCH
(2023)
Article
Automation & Control Systems
Yuyang Zhou, Randa Herzallah, Qichun Zhang
Summary: In this paper, we propose an innovative decentralised control framework for addressing complex systems influenced by multiple multiplicative noise factors. We refine the Riccati equation and use probabilistic state-space models to characterise the dynamic behaviours of subsystem components, ensuring optimal functionality and performance while adhering to constraints. Furthermore, we introduce a probabilistic message passing architecture to enhance system performance and promote harmonised decision-making. Through a numerical example, we demonstrate the advantages of our novel decentralised control approach in handling complex systems with multiple noise factors.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Jingjing Liu, Yefeng Liu, Qichun Zhang
Summary: This paper proposes an optimized searching algorithm for the input weights and biases to improve the efficiency of Stochastic Configuration Network (SCN), a mathematical model used for incremental generation under supervision. The algorithm is based on an optimization model with constraints and utilizes a hybrid bat-particle swarm optimization algorithm (G-BAPSO) that uses gradient information and local adaptive adjustment mechanism for improved searching ability. Simulation results demonstrate the effectiveness of the proposed algorithm with improved network convergence rate. The G-BAPSO-SCN achieved higher training RMSE and increased recognition accuracy compared to SCN.
APPLIED SCIENCES-BASEL
(2023)
Article
Automation & Control Systems
Yefeng Liu, Jingjing Liu, Zengpeng He, Zhenhong Li, Qichun Zhang, Zhengtao Ding
Summary: This paper reviews the problems and strategies of formation control, discusses distributed formation control methods based on different coordinate systems, and analyzes affine formation. It also provides the latest research on formation control in various multi-agent systems and discusses the challenges and opportunities in this field.
Article
Forestry
Chaobiao Meng, Yaowei Liu, Weiqin Su, Jinbo Zhang, Yu Luo, Qichun Zhang, Hongjie Di, Caixian Tang, Jianming Xu, Yong Li
Summary: This study used 15N dilution and Miseq sequencing techniques to investigate the impact of fire history on soil nutrient availability, microbial traits, and gross N mineralization rates at five forest sites. The results showed that fire had both positive and negative effects on soil gross N mineralization, depending on the soil texture. Fire increased gross N mineralization rates in fine-textured soils, but decreased them in coarse-textured soils. This study provides insights into the complex mechanisms of how fire affects soil gross N mineralization in forest ecosystems.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Engineering, Chemical
Zengpeng He, Yefeng Liu, Xinfu Pang, Qichun Zhang
Summary: In this study, a combined prediction method is proposed to monitor tool condition and predict tool wear in real time using modal decomposition, multi-channel input, multi-scale Convolutional Neural Network (CNN), and bidirectional long-short term memory network (BiLSTM). Experimental results show that the method has good prediction performance.
Article
Mathematics
Jinhui Zhao, Wei Zhang, Tianyu Hu, Ouguan Xu, Shengxiang Yang, Qichun Zhang
Summary: In this paper, a hybrid-mode membrane-computing-based algorithm (HMMCA) is proposed to solve complex unconstrained optimization problems with continuous variables. The algorithm is validated through numerical simulation and a case study on a proton exchange membrane fuel cell (PEMFC) system parameter optimization problem, indicating its effectiveness and practicability.
Correction
Chemistry, Inorganic & Nuclear
Tianqi Chen, Sujuan Bian, Xutian Yang, Wenjie Lu, Kuaibing Wang, Yuxuan Guo, Cheng Zhang, Qichun Zhang
INORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Automation & Control Systems
Qichun Zhang, Hong Wang
Summary: This article introduces a novel data-based approach to address the non-Gaussian stochastic distribution control problem, presenting a new probability density function transformation and two optimization algorithms.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Multidisciplinary Sciences
Sichu Wang, Pengfei Sun, Guangbin Zhang, Neil Gray, Jan Dolfing, Sofia Esquivel-Elizondo, Josep Penuelas, Yonghong Wu
Summary: This study evaluated the contribution of periphytic biofilm (PB) to CO2 and CH4 emissions from rice paddies and found that PB played a significant role in carbon fluxes. PB fixed CO2 and promoted aerobic CH4 oxidation during its growth phase, while it increased soil organic carbon availability and methanogenic microbial community growth during the decay phase, leading to increased CH4 emissions.