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Integrated dynamic wet spinning of core-sheath hydrogel fibers for optical-to-brain/tissue communications

国家科学评论（英文版） 2021年第9期8卷 83-94页

作者： Guoyin Chen Gang Wang Xinrong Tan Kai Hou Qingshuo Meng Peng Zhao Shun Wang Jiayi Zhang Zhan Zhou Tao Chen Yanhua Cheng Benjamin S.Hsiao Elsa Reichmanis Meifang Zhu State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China State Key Laboratory of Medical Neurobiology MOE Frontiers Center for Brain ScienceInstitute of Brain ScienceDepartment of OphthalmologyZhongshan HospitalFudan UniversityShanghai 200032China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China Department of Chemistry Stony Brook UniversityStony BrookNY 11794USA School of Chemical and Biomolecular Engineering School of Chemistry and BiochemistrySchool of Materials Science and EngineeringGeorgia Institute of TechnologyAtlantaGA 30332USA

Hydrogel optical light-guides have received substantial interest for applications such as deep-tissue biosensors,optogenetic stimulation and photomedicine due to their biocompatibility,(micro)structure control and tissue-like Young's ***,despite recent developments,large-scale fabrication with a continuous synthetic methodology,which could produce core-sheath hydrogel fibers with the desired optical and mechanical properties suitable for deep-tissue applications,has yet to be *** this study,we report a versatile concept of integrated light-triggered dynamic wet spinning capable of continuously producing core-sheath hydrogel optical fibers with tunable fiber diameters,and mechanical and optical propagation ***,this concept also exhibited versatility for various kinds of core-sheath functional *** wet spinning synthetic procedure and fabrication process were optimized with the rational design of the core/sheath material interface compatibility[core =poly(ethylene glycol diacrylate-co-acrylamide);sheath =Ca-alginate],optical transparency,refractive index and spinning solution *** resulting hydrogel optical fibers exhibited desirable low optical attenuation(0.18 ± 0.01 dB cm-1 with 650 nm laser light),excellent biocompatibility and tissue-like Young's modulus(＜ 2.60 MPa).The optical waveguide hydrogel fibers were successfully employed for deep-tissue cancer therapy and brain optogenetic stimulation,confirming that they could serve as an efficient versatile tool for diverse deep-tissue therapy and brain optogenetic applications.

关键词： optical waveguide hydrogel fiber deep-tissue photothermal therapy optogenetic stimulation

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Specific Regulation of m^(6)A by SRSF7 Promotes the Progression of Glioblastoma

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Genomics, Proteomics & Bioinformatics 2023年第4期21卷 707-728页

作者： Yixian Cun Sanqi An Haiqing Zheng Jing Lan Wenfang Chen Wanjun Luo Chengguo Yao Xincheng Li Xiang Huang Xiang Sun Zehong Wu Yameng Hu Ziwen Li Shuxia Zhang Geyan Wu Meisongzhu Yang Miaoling Tang Ruyuan Yu Xinyi Liao Guicheng Gao Wei Zhao Jinkai Wang Jun Li Department of Rehabilitation Medicine Key Laboratory of Liver Disease of Guangdong ProvinceThe Third Affiliated HospitalSun Yat-sen UniversityGuangzhou 510080China Department of Biochemistry Zhongshan School of MedicineSun Yat-sen UniversityGuangzhou 510080China Department of Medical Informatics Zhongshan School of MedicineSun Yat-sen UniversityGuangzhou 510080China Center for Stem Cell Biology and Tissue Engineering Key Laboratory for Stem Cells and Tissue EngineeringMinistry of EducationSun Yat-sen UniversityGuangzhou 510080China Biosafety Level-3 Laboratory Life Sciences InstituteGuangxi Medical UniversityNanning 530020China Department of Obstetrics and Gynecology The First Affiliated HospitalSun Yat-sen UniversityGuangzhou 510080China State Key Laboratory of Oncology in South China Cancer CenterSun Yat-sen UniversityGuangzhou 510080China RNA Biomedical Institute Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510080China

Serine/arginine-rich splicing factor 7(SRSF7),a known splicing factor,has been revealed to play oncogenic roles in multiple ***,the mechanisms underlying its oncogenic roles have not been well ***,based on N6-methyladenosine(m^(6)A)co-methylation network analysis across diverse cell lines,we find that the gene expression of SRSF7 is positively correlated with glioblastoma(GBM)cell-specific m^(6)A *** then indicate that SRSF7 is a novel m^(6)A regulator,which specifically facilitates the m^(6)A methylation near its binding sites on the mRNAs involved in cell proliferation and migration,through recruiting the methyltransferase ***,SRSF7 promotes the proliferation and migration of GBM cells largely dependent on the presence of the m^(6)A *** two m^(6)A sites on the mRNA for PDZ-binding kinase(PBK)are regulated by SRSF7 and partially mediate the effects of SRSF7 in GBM cells through recognition by insulin-like growth factor 2 mRNA-binding protein 2(IGF2BP2).Together,our discovery reveals a novel role of SRSF7 in regulating m^(6)A and validates the presence and functional importance of temporal-and spatial-specific regulation of m^(6)A mediated by RNA-binding proteins(RBPs).

关键词： m^(6)A Serine/arginine-rich splicing factor 7 Cell-specific regulation Glioblastoma PDZ-binding kinase

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Plasma-Enhanced Synthesis of Nitrogen-Doped Silicon Carbide Nanopowders in a Fluidized-Bed Reactor for High-Performance Lithium-Ion Battery Anodes

SSRN

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SSRN 2025年

作者： Wang, Zihao Lei, Zewei Hong, Ruoyu Li, Ming-Lin He, Xianfeng College of Chemical Engineering Fuzhou University Fuzhou350108 China School of Mechanical Engineering and Automation Fuzhou University Fuzhou350108 China International Joint Laboratory on Intelligent Sensing and Robotics Fuzhou University Fuzhou China School of Chemical Engineering University of Chinese Academy of Sciences Beijing101408 China State Key Laboratory of Mesoscience and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China

Ultrafine silicon carbide (SiC) powders have garnered increasing attention due to their vast potential for diverse applications. In this study, we developed a plasma-enhanced fluidized bed reactor to crack hexamethyldisilane (HMDS), thereby producing SiC/NC composites with diameters ranging from 10 to 20 nm. This method enables large-scale and sustainable production of SiC/NC composites. Concurrently, nitrogen doping was achieved by introducing ammonia during the plasma process, which increased material defects and thus enhanced electrical conductivity. Moreover, the abundant hydrogen atoms in ammonia modulated the product properties, as evidenced by reduced particle size, enhanced crystallinity, and decreased free-carbon content. The synthesized composites were applied as anodes in lithium-ion batteries, and their feasibility was confirmed through extensive testing. Notably, SiC-150 exhibited a discharge capacity of 413 mAh g-1 after 200 cycles at 0.1 A g-1 and maintained a high specific capacity of 780 mAh g-1 even after 800 cycles at 0.5 A g-1. © 2025, The Authors. All rights reserved.

关键词： Ammonia

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Occurrence and risk of microplastics and hexabromocyclododecane in urban drinking water systems: From source water to tap water

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Science of the Total Environment 2025年 958卷 177966页

作者： Han, Ziwei Jiang, Jiali Ni, Xuan Xia, Jing Yan, Chicheng Cui, Changzheng State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental Engineering East China University of Science and Technology Shanghai200237 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

The widespread presence of microplastics (MPs) in drinking water systems and their risk of releasing additives have caused widespread concern. However, current research on the migration and risks of MPs and additives in the complete drinking water supply chain remains inadequate. In this study, micro-Raman spectrometer was used to track the entire transport process of MPs from the water source to the tap water, with concentrations ranging from 805 to 4960 items/L, and polyethylene and Polyethylene terephthalate were dominant. The removal efficiency of MPs at the drinking water treatment plant was 85.0 ± 5.2 %. However, chlorination increased the proportion of polystyrene by 40.1 ± 5.3 %. Chlorination increases the surface roughness and carbonyl index of polystyrene standards, and promotes the release of hexabromocyclododecane (HBCD) (482.0 ng/g–2208.7 ng/g). The non-carcinogenic risk index of HBCD ingestion through drinking water remains well below 1 for residents. Complete water treatment processes significantly reduce the risks posed by MPs, achieving reductions of 54.3 % in the pollution load index and 82.1 % in the potential ecological risk index. The estimated daily intake of MPs ingested by residents through tap water ranges from 33.4 to 45.6 items/kg/d. This study investigated the occurrence of MPs in the complete drinking water supply chain and the risk of chlorine disinfection for HBCD release, which could help develop more effective MPs control measures and risk management strategies. © 2024 Elsevier B.V.

关键词： Risk assessment

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One-pot synthesis of isosorbide-based copolycarbonate with good flexibility and tunable thermal property

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Journal of Macromolecular Science, Part A 2021年第6期58卷 398-407页

作者： Zifeng Yang Zhencai Zhang Mengqian Fu Weiwei Wang Yongqing Shi Chenhao Li Wenjuan Fang Fei Xu a CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex Systems Beijing Key Laboratory of Ionic Liquids Clean Process Institute of Process Engineering Chinese Academy of Sciences Beijing Chinab School of Chemical Engineering University of Chinese Academy of Sciences Beijing China a CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex Systems Beijing Key Laboratory of Ionic Liquids Clean Process Institute of Process Engineering Chinese Academy of Sciences Beijing China a CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex Systems Beijing Key Laboratory of Ionic Liquids Clean Process Institute of Process Engineering Chinese Academy of Sciences Beijing Chinac Dalian National Laboratory for Clean Energy Dalian China

In this article, we reported a new strategy to synthesize of isosorbide-based copolycarbonates with good flexibility and tunable thermal property via one-pot direct melt polycondensation of isosorbide (ISB), dimethyl carbonate (DMC) and 1,4-benzenedimethanol (BDM). The effect of different feed ratio on the chemical structure, molecular weight, thermal and mechanical property of copolycarbonates was in-depth studied. A series of metal ion-containing compounds as catalysts were used, and the copolycarbonates was synthesized with weight average molecular weight (Mw) of 80,300 and dispersity index below 1.78 by sodium tert-butoxide catalyst, and the reaction time was shorted to only 3.5 h with the ISB conversion up to 99.0%. Meanwhile, the Tgvalues realized controllable and tunable from 69 to 164 °C by varying the ratio of two diol monomers, and the influence of the structure of carbonyl carbon in repeating units of copolycarbonates on the thermal properties were demonstrated. Moreover, the results of dynamic mechanical analysis (DMA) implied that the flexibility of copolycarbonates was increased with increasing BDM content, and the results of scratch resistance and melting index of the copolycarbonates provided enormous prospect for the industrial *** AbstractSynopsis:A green synthetic pathway for high molecular weight and flexible isosorbide-based copolycarbonate was developed via one-pot melt polycondensation of isosorbide, dimethyl carbonate and 1,4-benzenedimethanol.

关键词： Isosorbide dimethyl carbonate 1 4-benzenedimethanol isosorbide-based copolycarbonates one-pot pathway

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Dynamically omniphobic and highly transparent polyurethane coating towards efficient self-cleaning on photovoltaic modules

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Progress in Organic Coatings 2025年 207卷

作者： Peng, Jianwen Ye, Peng Bu, Xinyu Zhang, Yue Zhu, Yanji Wang, Ruitao Bao, Di Wang, Huaiyuan School of Chemical Engineering and Technology and State Key Laboratory of Chemical Engineering and Low-Carbon Technology Tianjin University Tianjin300350 China Tianjin University Tianjin300072 China Tianjin Key Laboratory of Chemical Process Safety and Equipment Technology Tianjin300072 China Tianjin Key Lab Composite & Functional Materials School of Materials Science and Engineering Tianjin University Tianjin300072 China Zhejiang Institute of Tianjin University Zhejiang Ningbo315201 China Ningbo Key Laboratory of Green Petrochemical Carbon Emission Reduction Technology and Equipment Zhejiang Ningbo315201 China

Photovoltaic (PV) modules have become a powerful contributor to global CO2 emissions mitigation, but have suffered a significant loss in power generation efficiency caused by the deposition of surface contamination. Conventional self-cleaning coatings typically require laborious fabrication processes, elaborate texturing, and fluorinated materials, which are difficult to integrate with transparency, environmental compatibility, and adaptability. Herein, we show a highly transparent, fluorine-free, and dynamically omniphobic liquid-like polyurethane coating (LLPuC) prepared by well cross-linking between polydimethylsiloxane (PDMS)-grafted hydroxyacrylate (PxHAy) copolymer and polyisocyanate at elevated or room temperature. The LLPuC could be applied to various substrates by spraying or blading methods and has demonstrated good transparency (91.79 % at 550 nm) of the coated glass. The liquid-like flexible chains of PDMS were enriched on the LLPuC and moved spontaneously, resulting in a smooth surface with dynamic omniphobicity (WSA = 11.5 ± 0.6°, OSA ≤ 15°), anti-smudge, and self-cleaning capability, as evidenced by the LLPuC coated PV module achieving a 92.83 % efficiency recovery ratio after the self-cleaning process. Moreover, the obtained coating also exhibited good adhesion strength, flexibility, anti-abrasion, and stability. Thus, the approaches and findings in this work have opened up a new avenue for self-cleaning coatings of PV modules and various outdoor transparent devices. © 2025 Elsevier B.V.

关键词： Washing

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Dynamical and Machine Learning Hybrid Seasonal Prediction of Summer Rainfall in China

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Journal of Meteorological Research 2021年第4期35卷 583-593页

作者： Jialin WANG Jing YANG Hong-Li REN Jinxiao LI Qing BAO Miaoni GAO State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875 Southern Marine Science and Engineering Guangdong Laboratory Guangzhou 511458 State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 Institute for Disaster Risk Management School of Geographical SciencesNanjing University of Information Science&TechnologyNanjing 210044

Seasonal prediction of summer rainfall is crucial to reduction of regional disasters,but currently it has a low prediction *** developed a dynamical and machine learning hybrid(MLD)seasonal prediction method for summer rainfall in China based on circulation fields from the Chinese Academy of Sciences(CAS)Flexible Global Ocean-Atmosphere-Land System Model finite volume version 2(FGOALS-f2)operational dynamical prediction *** selecting optimum hyperparameters for three machine learning methods to obtain the best fit and least overfitting,an ensemble mean of the random forest and gradient boosting regression tree methods was shown to have the highest prediction skill measured by the anomalous correlation *** skill has an average value of 0.34 in the historical cross-validation period(1981-2010)and 0.20 in the 10-yr period(2011-2020)of independent prediction,which significantly improves the dynamical prediction skill by 400%.Both reducing overfitting and using the best dynamical prediction are important in applications of the MLD method and in-depth analysis of these warrants a further investigation.

关键词： seasonal rainfall prediction statistical-dynamical model machine learning

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Unveiling the crucial role of iron oxide transformation in simultaneous immobilization of nanoplastics and organic matter

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Science of the Total Environment 2025年 959卷 178280页

作者： Su, Chengpeng Peng, Cheng Liang, Weiyu Chen, Anqi Liu, Qiang Zhang, Wei State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resource and Environmental Engineering East China University of Science and Technology Shanghai200237 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

Nanoplastics (NPs) have been found in natural environments. However, the sequestration of NPs and natural organic matter (NOM) coupled with the Fe(III) hydrolysis and subsequent iron oxides transformation remains unclear. Here, we investigated the behaviors of NPs during the dynamic transformation process of iron oxides in the presence of humic acids (HA). The quantification results of europium chelate-labeled polystyrene (PS) NPs and HA indicate that 87.60 % of NPs and 49.45 % of HA were sequestered in the precipitate by the end of the transformation (240 h). High-angle annular dark-field-scanning transmission electron microscopy-energy dispersive X-ray spectroscopy (HAADF-STEM-EDS) images show that NPs were doped into iron oxides during the recrystallization of ferrihydrite aggregates, while HA were adsorbed or penetrated into the nanoscale pores on the mineral surfaces, suggesting the formation of a stable iron oxides-NPs-NOM ternary nanocomplex with a core-shell structure. Fourier transform infrared spectrometer (FTIR) and two-dimensional correlation spectroscopy (2D-COS) analysis indicate that functional groups of iron oxides and HA, including hydroxyl, carboxyl, and Fe[sbnd]O bonds, played a role in the binding process. In the presence of HA, the stability of the coprecipitation system was enhanced due to the increased electrostatic repulsion, which facilitated the full incorporation of NPs with iron oxides. These findings provide a new insight into the simultaneous immobilization of NPs and NOM. © 2024 Elsevier B.V.

关键词： Energy dispersive spectroscopy

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Nonlinear industrial process fault diagnosis with latent label consistency and sparse Gaussian feature learning

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Journal of Central South University 2022年第12期29卷 3956-3973页

作者： LI Xian-ling ZHANG Jian-feng ZHAO Chun-hui DING Jin-liang SUN You-xian Science and Technology on Thermal Energy and Power Laboratory Wuhan 2nd Ship Design and Research InstituteWuhan 430205China State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China State Key Laboratory of Synthetical Automation for Process Industries(Northeastern University) Shenyang 110819China

With the increasing complexity of industrial processes, the high-dimensional industrial data exhibit a strong nonlinearity, bringing considerable challenges to the fault diagnosis of industrial processes. To efficiently extract deep meaningful features that are crucial for fault diagnosis, a sparse Gaussian feature extractor(SGFE) is designed to learn a nonlinear mapping that projects the raw data into the feature space with the fault label dimension. The feature space is described by the one-hot encoding of the fault category label as an orthogonal basis. In this way, the deep sparse Gaussian features related to fault categories can be gradually learned from the raw data by SGFE. In the feature space,the sparse Gaussian(SG) loss function is designed to constrain the distribution of features to multiple sparse multivariate Gaussian distributions. The sparse Gaussian features are linearly separable in the feature space, which is conducive to improving the accuracy of the downstream fault classification task. The feasibility and practical utility of the proposed SGFE are verified by the handwritten digits MNIST benchmark and Tennessee-Eastman(TE) benchmark process,respectively.

关键词： nonlinear fault diagnosis multiple multivariate Gaussian distributions sparse Gaussian feature learning Gaussian feature extractor

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Metabolic engineering for single-cell protein production from renewable feedstocks and its applications

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Advanced biotechnology 2024年第4期2卷 35页

作者： Zhoukang Zhuang Guangyu Wan Xiaocong Lu Linhai Xie Tao Yu Hongting Tang CAS Key Laboratory of Quantitative Engineering Biology Center for Synthetic Biochemistry Guangdong Provincial Key Laboratory of Synthetic Genomics Shenzhen Institute of Synthetic Biology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China. State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education Tianjin Key Laboratory of Industrial Microbiology College of Biotechnology Tianjin University of Science and Technology Tianjin 300457 China. CAS Key Laboratory of Quantitative Engineering Biology Center for Synthetic Biochemistry Guangdong Provincial Key Laboratory of Synthetic Genomics Shenzhen Institute of Synthetic Biology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China. tao.yu@***. School of Agriculture and Biotechnology Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen 518107 China. tanght23@***.

Proteins are indispensable for maintaining a healthy diet and performing crucial functions in a multitude of physiological processes. The growth of the global population and the emergence of environmental concerns have significantly increased the demand for protein-rich foods such as meat and dairy products, exerting considerable pressure on global food supplies. Single-cell proteins (SCP) have emerged as a promising alternative source, characterized by their high protein content and essential amino acids, lipids, carbohydrates, nucleic acids, inorganic salts, vitamins, and trace elements. SCP offers several advantages over the traditional animal and plant proteins. These include shorter production cycles, the use of diverse raw material sources, high energy efficiency, and minimal environmental impact. This review is primarily concerned with the microbial species employed in SCP production, utilization of non-food renewable materials as a source of feedstock, and application of rational and non-rational metabolic engineering strategies to increase SCP biomass and protein content. Moreover, the current applications, production shortages, and safety concerns associated with SCP are discussed.

关键词： Food proteins Metabolic engineering Renewable material Single-cell proteins

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