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Interaction of soil microbial communities and phosphorus fractions under long-term fertilization in paddy soil

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Journal of Integrative Agriculture 2022年第7期21卷 2134-2144页

作者： Muhammad QASWAR Waqas AHMED HUANG Jing LIU Kai-lou ZHANG Lu HAN Tian-fu DU Jiang-xue Sehrish ALI Hafeez UR-RAHIM HUANG Qing-hai ZHANG Hui-min National Engineering Laboratory for Improving Quality of Arable Land/lnstitute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesBeijing 100081P.R.China Department of Environment Faculty of Bioscience EngineeringGhent UniversityGhent 9000Belgium Guangdong Provincial Key Laboratory for Radionuclides Pollution Control and Resources School of Environmental Science and EngineeringGuangzhou UniversityGuangzhou 510006P.R.China National Observation Station of Qiyang Agri-ecology System/lnstitute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesQiyang 426182P.R.China National Engineering and Technology Research Center for Red Soil Improvement/Jiangxi Institute of Red Soil Nanchang 331717P.R.China Key Laboratory of Industrial Ecology and Environmental Engineering Ministry of Education/School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024P.R.China

Understanding the impact of biological activities on the soil phosphorus(P)distribution under long-term fertilizer application can facilitate better soil P fertility ***,the primary objectives of this study were to investigate the effect of long-term(since 1981)fertilizer application on the soil P fractions and microbial community and to evaluate correlations between the microbial community structure and P *** following treatments were implemented in a long-term field trial:no fertilization(CK),inorganic N and K(NK),inorganic P and K(PK),inorganic N,P and K(NPK)and manure+NPK(MNPK)*** study showed that the soil pH,soil organic carbon and total and available N and P concentrations were considerably higher in the MNPK treatment than in the CK *** soil microbial biomass C,N and P concentrations were also significantly higher in the MNPK treatment than in the CK *** fertilization treatments,theβ-1,4-glucosidase,α-1,4-glucosidase,urease,acid phosphatase and phosphodiesterase activities were the highest in the MNPK *** to inorganic fertilization,the MNPK treatment increased the labile soil P fractions and decreased the residual soil P *** fertilization significantly affected the soil microbial *** total phospholipid fatty acid(PLFA)concentrations in the NK,PK,NPK and MNPK treatments were 23.3,43.1,48.7 and 87.7%higher,respectively,than in the CK treatment.A significant correlation was observed between the microbial community and soil P ***,the aggregated boosted tree(ABT)model showed that among the various soil biochemical properties,the total PLFA concentration was the factor that most influenced the active P pool,accounting for 35.4%of the relative influence of all soil biochemical properties *** findings reveal that combined manure and inorganic fertilizer application is a better approach than applying inorganic fertilizer alone fo

关键词： enzyme activities long-term fertilization microbial community microbial biomass phosphorus fraction

Metabolic mechanism in biosynthesis of polyhydroxyalkanoate from terephthalic acid by mixed microbial consortium

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Chemical Engineering Journal 2025年 515卷

作者： Pan, Lanjia Khan, Wardah Hayat Li, Jie Kubota, Kengo Wang, Qiang Wang, Yin State Key Laboratory of Regional and Urban Ecology Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China State Key Laboratory of Advanced Environmental Technology Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China University of Chinese Academy of Sciences China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control CAS Haixi Industrial Technology Innovation Center in Beilun Ningbo315830 China Department of Frontier Sciences for Advanced Environment of Environmental Studies Tohoku University Sendai980-8579 Japan Chengdu BOE Display Technology Co. Ltd Chengdu610031 China

Biosynthesis of polyhydroxyalkanoates (PHA) from waste plastics offers a sustainable solution to mitigating plastic pollution for circular economy. Terephthalic acid (TPA), derived from polyethylene terephthalate (PET) hydrolysis, shows potential as a carbon source for PHA production. However, the isolation of microbial strains with high efficiency in converting TPA to PHA remain a significant challenge. In this study, a microbial consortium enriched from sludge during the flask experiments was employed for fed-batch fermentation in a 5 L bioreactor to facilitate the conversion of TPA to PHA. The fermentation process achieved a maximum PHA concentration of 2.25 g/L with a yield of 0.10 gPHA/gTPA. The dominant microorganisms and TPA transformation pathways were analyzed by genome annotation and intermediate metabolites identification. The consortium exhibited synergistic interactions, with member species producing specific enzymes that sequentially transformed TPA into protocatechuic acid or catechol, ultimately yielding acetyl-CoA as the PHA biosynthesis precursor. This study establishes a sustainable approach for upcycling waste PET plastics into biodegradable polymers. The revealed metabolic mechanisms provide fundamental insights for future improvement of PHA production. © 2025 Elsevier B.V.

关键词： Acetobacter

Engineering CRISPR/Cas12-based biosensors: Recent advances and future perspectives

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TrAC - Trends in Analytical Chemistry 2025年 191卷

作者： Yin, Lijuan Zhou, Caihong Gao, Baoxue Liu, Fufeng Ma, Long Guo, Fei State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial Microbiology Ministry of Education Tianjin Key Laboratory of Industry Microbiology National and Local United Engineering Lab of Metabolic Control Fermentation Technology China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry College of Biotechnology Tianjin University of Science and Technology Tianjin300457 China NHC Key Laboratory of Systems Biology of Pathogens Institute of Pathogen Biology and Center for AIDS Research Chinese Academy of Medical Sciences & Peking Union Medical College Beijing100730 China

Rapid, sensitive, and accurate biosensing is instrumental for clinical diagnostics, food safety, and environmental monitoring. The CRISPR/Cas12 system has emerged as a robust biosensing tool, leveraging its biocompatibility, distinctive cleavage activity, and user-friendly design. In recent years, numerous CRISPR/Cas-based biosensing strategies have been developed to enhance detection sensitivity, specificity, and portability, significantly advanced the molecular diagnostics field. This review systematically discusses recent advances in various engineering strategies aimed at improving the performance of CRISPR/Cas12-based biosensors, with emphasis on their practical applications. Specifically, progresses are highlighted in optimizing Cas effector proteins, CRISPR RNAs, and reaction buffer formulations. Diverse signal output methodologies are compared including fluorescence, colorimetry, electrochemical sensing, surface-enhanced Raman spectroscopy, and deep-learning-assisted detection techniques. Finally, challenges and future prospectives of CRISPR/Cas12-based biosensing technologies are discussed to help the development of optimal biosensing tools. © 2025

关键词： Error detection

Green Manufacturing Evaluation of Light-Emitting Diodes (Led) Lamps Production: Resource and Environmental Assessment

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SSRN 2024年

作者： Gao, Wenfang Zeng, Xianju Chen, Fangfang Pan, Anyu Yang, Feiming Wang, Yuting Li, Huajie Ren, Zhijun Zhang, Guangming Sun, Zhi Tianjin Key Laboratory of Clean Energy and Pollution Control School of Energy and Environmental Engineering Hebei University of Technology Tianjin300401 China National Key Laboratory of Biochemical Engineering Beijing Engineering Research Centre of Process Pollution Control Institute of Process Engineering Innovation Academy for Green Manufacture Chinese Academy of Sciences Beijing100190 China Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou341119 China Xiamen Guangpu Electronics Ltd. Xiamen361000 China Kopper Chemical Industry Corp. Ltd. Chongqing401254 China

Light-emitting diode (LED) lamps have become the mainstream lamps of the lighting industry, with practical significance such as energy savings and reducing greenhouse gas emissions. However, few studies have focused on the resource and environmental evaluation of LED lamp production processes. In this research, a green manufacturing evaluation was developed by combining resource criticality and environmental impact assessment by analysing eight typical LED lamp production processes. For resource criticality assessment, a metal criticality assessment method was built considering the special industrial parameters such as CPS (the technical level of the production plant), where the ordinary street lamp (OSL) had the most lamp evaluation index based on the higher resource consumption and Ga and In were the most critical metals. For environmental impact assessment, it was concluded that the green bulb lamp (GBL) was the most environmentally friendly lamp, and the OSL had the most serious impact on the environment. Under the comprehensive evaluation, the GBL was the best lamp because its structure was simple and the quality of the material was smaller, while the OSL was the worst lamp due to the higher quality of the material. With the green manufacturing evaluation with resource criticality assessment and environmental impact assessment, the LED lamp production process can be effectively evaluated, which can provide a basis for the material evaluation and cleaner production. © 2024, The Authors. All rights reserved.

关键词： Light emitting diodes

Two Feature Fusion Network Based on Efficient Deep Residual Shrinkage Spatial-Temporal Graph Convolution for Emotion Recognition from Gaits

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Two Feature Fusion Network Based on Efficient Deep Residual ...

第34届中国控制与决策会议

作者： Xiaoqing Liu Sen Zhang Wendong Xiao School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Shunde Graduate School University of Science and Technology Beijing Beijing Engineering Research Center of Industrial Spectrum Imaging

Emotion Recognition plays a key role in human social *** current methods choose facial information for emotion *** facial information is easily limited by distance in large *** information can break this limitation,but the amount of publicly available data is *** paper proposes two feature fusion network based on efficient deep residual shrinkage spatial-temporal graph convolution to achieve automatic emotion recognition from gaits in large *** chebyshev polynomial approximation graph convolution is combined with efficient deep residual shrinkage network to obtain efficient deep residual shrinkage spatial-temporal graph convolution network to extract deep *** sixteen temporal affective features extracted from gaits are used as input of efficient deep residual shrinkage network to extract new affective *** the deep features is spliced with new affective features to divided emotion into happy,angry,sad and *** performed a ten-flod cross-validation experiment on the E-gait real *** highest recognition accuracy is 0.87,with an average of *** results show that the proposed model is effective in dealing with emotion recognition promblem from gait in fewer sample situation.

关键词： emotion recognition from gaits chebyshev polynomial approximation deep residual shrinkage Network efficient channel attention mechanism

Unveiling The Mechanism Of S-Adenosylmethionine (Sam)-Dependent Histamine N-Methyltransferase (Hnmt) in Histamine Methylation Via In-Silico Studies

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SSRN 2024年

作者： Chu, Qi Sun, Shuyang Li, Congcong Qu, Ge Sun, Zhoutong School of Food Engineering Yantai Key Laboratory of Nanoscience and Technology for Prepared Food Yantai Engineering Research Center of Green Food Processing and Quality Control Ludong University Shandong Yantai264025 China Tianjin Institute of Industrial Biotechnology of Chinese Academy of Sciences National Technology Innovation Center of Synthetic Biology Tianjin300308 China

S-adenosylmethionine (SAM)-dependent histamine N-methyltransferase (HNMT) is a crucial enzyme involved in histamine methylation, playing an important role in the epigenetic modification of biology. It entails the addition of methyl groups to histamine molecules, thereby regulating gene expression, cellular signal transduction, and other biological processes. Therefore, gaining a profound understanding of the detailed mechanism underlying HNMT-mediated methylation reactions is instrumental in elucidating the role of histamine methylation in biology. This study employed molecular dynamics (MD) simulations to assess the mechanism of cooperative catalytic reaction between the substrate-binding domain (S domain) and the cofactor-binding domain (C domain) of HNMT. The results indicated that the interplay between the cofactor (SAM) and the C domain was mostly unaltered by substrate Histamine (HSM) binding. Nevertheless, SAM binding could induce conformational changes in the S domain, thus creating a favorable environment for substrate recognition and catalysis. Additionally, key amino acid residues that significantly contributed to substrate binding were identified based on molecular mechanics-generalized Born surface area (MM/GBSA) calculations. These findings could serve as a theoretical basis for the design of potential inhibitors and modulators targeting HNMT. © 2024, The Authors. All rights reserved.

关键词： Molecular dynamics

Distributed Event-Triggered Bandit Convex Optimization With Time-Varying Constraints

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IEEE Transactions on control of Network Systems 2025年

作者： Zhang, Kunpeng Yi, Xinlei Wen, Guanghui Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Ministry of Education Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Shanghai201210 China Southeast University School of Automation Nanjing210096 China University of Groningen Engineering and Technology Institute Groningen Faculty of Science and Engineering GroningenAG 9747 Netherlands KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm10044 Sweden KTH Royal Institute of Technology Digital Futures Stockholm10044 Sweden

This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network regret and cumulative constraint violation. Existing distributed online algorithms solving this problem require that each agent broadcasts its decision to its neighbors at each iteration. However, communication resources are often limited. To better utilize communication resources, we propose a distributed event-triggered online primal-dual algorithm with two-point bandit feedback. Under several classes of appropriately chosen decreasing parameter sequences and non-increasing event-triggered threshold sequences, we establish dynamic network regret and network cumulative constraint violation bounds. These bounds are comparable to the results achieved by distributed event-triggered online algorithms with full-information feedback. Finally, a numerical example is provided to verify the theoretical results. © 2014 IEEE.

关键词： Optimization algorithms

Hierarchical Anion Exchange and Reverse Electron Transfer in Ldh/Peroxymonosulfate System for Roxarsone Elimination

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SSRN 2024年

作者： Pei, Wenkai Zheng, Yifan Gao, Jianyu Lei, Juying Liu, Yongdi Zhou, Liang Zhang, Jinlong Wang, Yu National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization Key Laboratory for Advanced Materials Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of Chemistry and Molecular Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China Department of Molecular Engineering Graduate School of Engineering Kyoto University Kyoto-Daigaku Katsura Nishikyo-ku Kyoto615-8510 Japan State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

Roxarsone (ROX) is the main form of As pollution in the world, and developing effective methods for its elimination is beneficial to human health and ecological environment. Herein, we report glutaraldehyde-crosslinked chitosan encapsulated CoCe-LDH as an outstanding catalyst for the advanced oxidation of ROX and the efficient adsorption of inorganic arsenic. 100% of ROX and more than 98.5% of As(III)/As(V) were eliminated, and over 99.3% of remained inorganic arsenic was oxidized to low toxicity As(V) in the PMS-activation system, and some specific properties of LDH are considered the main reasons. The hierarchical anion exchange has been confirmed to be beneficial for constructing a high concentration PMS inter layer microenvironment. And the unique reverse electron transfer process induced the 100% selective production of singlet oxygen. This work not only develops an advanced ROX removal method, but also provides a new understanding of LDH-based advanced oxidation process. © 2024, The Authors. All rights reserved.

关键词： Chemical activation

Synergistic Catalysis of Tungsten Disulfide and Manganese Ions for the Degradation of Dimethyl Disulfide Using Chlorine Dioxide

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SSRN 2023年

作者： Zhao, Tao Zhang, Pengkang Ma, Lijuan Wei, Shihao Qiu, Yangming Liu, Bangguo Chen, Xiurong National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery School of Resource and Environmental Engineering East China University of Science and Technology Shanghai200237 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China

Dimethyl disulfide (DMDS) is a familiar odorant found at chemical and pesticide sites, characterized by a low odor threshold and high volatility. In this study, a catalytic degradation system for DMDS using ClO2/Mn2+/WS2 was developed. The residual rate of DMDS decreased to 10.58% within 80 min under the following reaction conditions: 400 μM ClO2, 20 μM Mn2+, 80 μM WS2, and a pH of 7.0. XPS analysis confirmed the co-catalytic synergistic effect of WS2 and Mn2+. The metal valence cycling is the primary factor that enhances the activation of ClO2 for DMDS degradation. EPR tests and quenching experiments investigated the critical reactive oxygen species (ROS) in the reaction process, including 1O2, ·OH, and ClO2. In the initial 10 min of the fast reaction stage, 1O2 (44.48% reaction rate contribution) and ClO2 (55.52% reaction rate contribution) played the primary oxidation roles. ·OH (49.16% reaction rate contribution) and ClO2 (50.84% reaction rate contribution) became dominant during the slower reaction stage in the last 70 min. Further, density functional theory (DFT) calculations, in conjunction with GC-MS and ICS analyses, were used to predict potential degradation pathways of DMDS. This study presents a practical approach for efficiently removing DMDS in pesticide facilities and chemical industrial parks. © 2023, The Authors. All rights reserved.

关键词： Sulfur compounds