Current Status and Perspectives of Dual-Atom Catalysts Towards Sustainable Energy Utilization

The exploration of sustainable energy utilization requires the imple-mentation of advanced electrochemical devices for efficient energy conversion and storage,which are enabled by the usage of cost-effective,high-performance electro-catalysts.Currently,heterogeneous atomically dispersed catalysts are considered as potential candidates for a wide range of applications.Compared to conventional cata-lysts,atomically dispersed metal atoms in carbon-based catalysts have more unsatu-rated coordination sites,quantum size effect,and strong metal-support interactions,resulting in exceptional catalytic activity.Of these,dual-atomic catalysts(DACs)have attracted extensive attention due to the additional synergistic effect between two adja-cent metal atoms.DACs have the advantages of full active site exposure,high selectiv-ity,theoretical 100%atom utilization,and the ability to break the scaling relationship of adsorption free energy on active sites.In this review,we summarize recent research advancement of DACs,which includes(1)the comprehensive understanding of the synergy between atomic pairs;(2)the synthesis of DACs;(3)characterization meth-ods,especially aberration-corrected scanning transmission electron microscopy and synchrotron spectroscopy;and(4)electrochemical energy-related applications.The last part focuses on great potential for the electrochemical catalysis of energy-related small molecules,such as oxygen reduction reaction,CO_(2) reduction reaction,hydrogen evolution reaction,and N_(2) reduction reaction.The future research challenges and opportunities are also raised in prospective section.

Expression and clinical significance of pattern recognition receptor-associated genes in hand, foot and mouth disease

Objective:To explore which pattern recognition receptors(PRRs)play a key role in the development of hand,foot,and mouth disease(HFMD)by analyzing PRR-associated genes.Methods:We conducted a comparative analysis of PRR-associated gene expression in human peripheral blood mononuclear cells(PBMCs)infected with enterovirus 71(EV-A71)which were derived from patients with HFMD of different severities and at different stages.A total of 30 PRR-associated genes were identified as significantly upregulated both over time and across different EV-A71 isolates.Subsequently,ELISA was employed to quantify the expression of the six most prominent genes among these 30 identified genes,specifically,BST2,IRF7,IFI16,TRIM21,MX1,and DDX58.Results:Compared with those at the recovery stage,the expression levels of BST2(P=0.027),IFI16(P=0.016),MX1(P=0.046)and DDX58(P=0.008)in the acute stage of infection were significantly upregulated,while no significant difference in the expression levels of IRF7(P=0.495)and TRIM21(P=0.071)was found between different stages of the disease.The expression levels of BST2,IRF7,IFI16 and MX1 were significantly higher in children infected with single pathogen than those infected with mixed pathogens,and BST2,IRF7,IFI16 and MX1 expression levels were significantly lower in coxsackie B virus(COXB)positive patients than the negative patients.Expression levels of one or more of BST2,IRF7,IFI16,TRIM21,MX1 and DDX58 genes were correlated with PCT levels,various white blood cell counts,and serum antibody levels that reflect disease course of HFMD.Aspartate aminotransferase was correlated with BST2,MX1 and DDX58 expression levels.Conclusions:PRR-associated genes likely initiate the immune response in patients at the acute stage of HFMD.

Preparation of pitch precursor with excellent spinnability for general-purpose carbon fibre using coal tar pitch as raw material

Tetrahydrofuran(THF) extract of coal tar pitch(CTP) was used instead of blending CTP with pretreated pyrolysis fuel oil to prepare an isotropic pitch precursor with excellent spinnability for general-purpose carbon fibre through bromination-dehydrobromination. The feasibility and effectiveness of synthesising an isotropic pitch precursor derived from THF-soluble(CTP-THFs) is demonstrated in this study.The results show that CTP-THFs contains more light components than CTP;CTP-THFs and CTP monomer proportions were 62.52% and 45.32%, respectively. However, based on comparisons of CTP-THFsBr0 and CTPBr0 characterisations, CTP-THFs exhibits better polycondensation than CTP. Bromination-dehydrobro mination promotes polycondensation of pitch precursors, leading to greater carbon aromaticity in CTP-THFsBr5, CTP-THFsBr10, and CTP-THFsBr15 than that in CTP-THFsBr0 and CTPBr0. CTP-THFsBr5 and CTP-THFsBr10 have excellent spinnability even with softening points as high as 230 ℃. The pericondensed carbon and carbon aromaticity of CTP-THFsBr5 and CTP-THFsBr10 are high owing to the higher degree of polycondensation;however, they still possess a more linear molecular structure. The as-prepared carbon fibre exhibits homogeneity and uniformity, and the mechanical performance is comparable with that of commercial general-purpose carbon fibre products.

Smart drug delivery systems to overcome drug resistance in cancer immunotherapy

Cancer immunotherapy,a therapeutic approach that inhibits tumors by activating or strengthening anti-tumor immunity,is currently an important clinical strategy for cancer treatment;however,tumors can develop drug resistance to immune surveillance,resulting in poor response rates and low therapeutic efficacy.In addition,changes in genes and signaling pathways in tumor cells prevent susceptibility to immunotherapeutic agents.Furthermore,tumors create an immunosuppressive microenvironment via immunosuppressive cells and secrete molecules that hinder immune cell and immune modulator infiltration or induce immune cell malfunction.To address these challenges,smart drug delivery systems(SDDSs)have been developed to overcome tumor cell resistance to immunomodulators,restore or boost immune cell activity,and magnify immune responses.To combat resistance to small molecules and monoclonal antibodies,SDDSs are used to co-deliver numerous therapeutic agents to tumor cells or immunosuppressive cells,thus increasing the drug concentration at the target site and improving efficacy.Herein,we discuss how SDDSs overcome drug resistance during cancer immunotherapy,with a focus on recent SDDS advances in thwarting drug resistance in immunotherapy by combining immunogenic cell death with immunotherapy and reversing the tumor immunosuppressive microenvironment.SDDSs that modulate the interferon signaling pathway and improve the efficacy of cell therapies are also presented.Finally,we discuss potential future SDDS perspectives in overcoming drug resistance in cancer immunotherapy.We believe that this review will contribute to the rational design of SDDSs and development of novel techniques to overcome immunotherapy resistance.

In Situ Deposition of Drug and Gene Nanoparticles on a Patterned Supramolecular Hydrogel to Construct a Directionally Osteochondral Plug

The integrated repair of bone and cartilage boasts advantages for osteochondral restoration such as a long-term repair effect and less deterioration compared to repairing cartilage alone.Constructing multifactorial,spatially oriented scaffolds to stimulate osteochondral regeneration,has immense significance.Herein,targeted drugs,namely kartogenin@polydopamine(KGN@PDA)nanoparticles for cartilage repair and miRNA@calcium phosphate(miRNA@CaP)NPs for bone regeneration,were in situ deposited on a patterned supramolecular-assembled 2-ureido-4[lH]-pyrimidinone(UPy)modified gelation hydrogel film,facilitated by the dynamic and responsive coordination and complexation of metal ions and their ligands.This hydrogel film can be rolled into a cylindrical plug,mimicking the Haversian canal structure of natural bone.The resultant hydrogel demonstrates stable mechanical properties,a self-healing ability,a high capability for reactive oxygen species capture,and controlled release of KGN and miR-26a.In vitro,KGN@PDA and miRNA@CaP promote chondrogenic and osteogenic differentiation of mesenchymal stem cells via the JNK/RUNX1 and GSK-3β/β-catenin pathways,respectively.In vivo,the osteochondral plug exhibits optimal subchondral bone and cartilage regeneration,evidenced by a significant increase in glycosaminoglycan and collagen accumulation in specific zones,along with the successful integration of neocartilage with subchondral bone.This biomaterial delivery approach represents a significant toward improved osteochondral repair.

“活性炭表面改性及对苯的吸附研究”综合性实验设计

为加强学生对吸附单元操作基础知识的理解、提升实验研究技能,设计了“活性炭表面改性及其苯吸附性能研究”综合性实验项目。该项目设立了吸附剂基本性质分析、表面改性、吸附性能表征及动态吸附等内容,分别训练学生实验研究、实验操作、仪器表征、图谱解析及实验结果总结分析的能力。经过实验训练,学生掌握了N2吸/脱附仪、傅里叶变换红外光谱仪(FTIR)和扫描电子显微镜(SEM)的仪器操作与图谱解析方法;学会了表面改性实验及活性炭碘吸附值、亚甲基蓝吸附值和动态吸附性能测试的实验方法与结果的归纳分析;还结合所学吸附单元操作基本原理,研究揭示实验研究的规律性结果。本综合性实验在加强学生对吸附单元操作相关知识掌握的同时,能激发学生的学习兴趣、提升专业综合能力。

In silico Discovery of Novel FXa Inhibitors by Pharmacophore Modeling and Molecular Docking

Coagulation Factor Xa(FXa)is the crucial enzyme at the convergent point of the intrinsic and extrinsic coagulation pathways.The inhibition of FXa is an effective approach against thrombotic diseases.In the present study,a specific strategy is reported to discover 10 novel FXa inhibitors based on ligand-based(pharmacophore)virtual screening and molecular docking analysis from a dataset of specs(containing 220000 molecules).The binding modes analysis provide insights into the contribution of particular structural moieties of the compounds towards their activity against FXa,and 10 novel structural compounds were discovered as potent candidate molecules.This work could be helpful in further design and development of FXa inhibitors.

Load Cluster Characteristic Analysis and Modeling of Electric Vehicles

Electric vehicle, as a clean energy industry, is an important branch. Electric vehicles not only are the energy of the electric user, but also can be used as mobile and distributed energy storage unit to the grid. As a precondition of safety operation for power grid, studies of EVs’ charging load characteristics is also the theoretical basis of intelligent scheduling EVs charging orderly. This paper assesses the future of the electric vehicles development prospects, and secondly establishes a charging model of a single EV. Then, considering stochastic distribution of the initial state-of-charge (SOC0) and the arriving time of the vehicles, a cluster model of the charging station is proposed. Meanwhile, the paper from the types and charging mode of electric vehicles analyzes the behavior of EV. Finally, an example simulation is validated.

喷雾型防晒化妆品的国际法规动态和技术监管讨论

分析了我国喷雾型防晒化妆品的发展趋势,综述了欧盟、美国、澳大利亚、韩国等国家和地区的监管动态和法规要求,对此类产品的原料使用和生产工艺、理化检验、毒理学试验、防晒功效测试、产品安全评估、使用方法和标签管理等相关技术要点进行了分析和讨论,并提出了监管建议,对喷雾型防晒化妆品在监管科学下的精细化管理进行了总结和展望。

基于“1+2”模式的结构化学课程在线教学实践

新冠肺炎疫情发生以来,在党中央、国务院以及教育部的统一部署下,各高校积极行动,停课不停教、停课不停学,坚持以学生为本,积极推动线上教学工作有序开展。本文基于线上直播平台+线上课程资源及管理平台的教学模式(“1+2”模式),实施结构化学课程的线上教学,发挥线上直播和线上慕课两种形式教学的各自优势,取得了良好的教学效果。

分子点群的判别

分子点群是结构化学课程中分子对称性章节中的核心内容,是学生深入学习、认识和理解分子结构对称性以及结构与分子性质之间关系的理论基础。其中,分子点群的判别是分子点群的重要知识点之一。本文回顾了国内外不同结构化学教材中分子点群的判别流程,讨论了现有分子点群判别流程在判断分子所属点群中可能出现的问题以及不足之处,并提出了分子点群判别中部分流程的改进方案,有助于学生更加深刻理解分子点群的内涵。

Mesoporous carbon as a carrier for celecoxib:The improved inhibition effect on MDA-MB-231 cells migration and invasion

In the current study,mesoporous carbon(MC)with pore volume(1.53 cm3/g)and pore size(9.74 nm)was successfully prepared as a carrier for celecoxib(CEL).Celecoxib was loaded into the pore channels of MC using three different methods:solvent evaporation method,absorption method and physical mixing method.Solid-state characterization methods,such as SEM,TEM,BET,DSC and XRD were used to systematically investigate the process of the drug loading system.Dissolution tests were performed to examine the effects of MC on the release of CEL.Furthermore,the cytotoxicity,wound healing,migration and invasion experiments were carried out to measure the contribution of MC to the anti-tumor metastasis ability of celecoxib on MDA-MB-231 cells.The results showed that CEL could be kept in a non-crystalline state when they were incorporated into the MC using the solvent evaporation method or absorption method.The dissolution rate of CEL released from MCS(Mesoporous carbon e Celecoxib e Solvent evaporation method)and MCA(Mesoporous carbon e Celecoxib e Absorption evaporation method)was all significantly higher than that of pure CEL.The cumulative release for MCS within the 5 min was up to 51.86%.MCS enhanced the inhibitory effect of CEL on the migration and invasion of MDAMB-231 cells.

Drought and Waterlogging Characteristics during the Growth Period of Summer Maize in Luxi Plain Areas

In summer maize growth period,the water supply and demand ratio is regarded as the evaluation index of drought and waterlogging for the summer maize in Liaocheng City. Using GIS,statistics,agrometeorology and other methods,we analyze the precipitation during the summer maize growth period in Luxi Plains from 1961 to 2011. Through the calculation of drought and waterlogging index,it indicates that the disasters of drought and waterlogging frequently occur during the summer maize growth period,mainly affected by the drought; the frequency of occurrence of drought accounts for 80. 4%,that is,it is very prone to serious drought phenomenon,seriously affecting the normal growth and development of summer maize during the seedling period. With global warming,the industrial and domestic water demand is increasing year by year,so it is extremely difficult to increase the water diversion to solve the problem of water shortage for the growth of summer maize. Finally we put forth the following recommendations:( i) Selecting drought-resistant varieties,and improving the water resource use efficiency;( ii)Promoting the water and fertilizer coupling,sprinkler irrigation,drip irrigation,micro-irrigation and other water-saving irrigation technologies,and improving the water use efficiency;( iii) Promoting the ditch,ridge and laminating cultivation technology,reducing the field evapotranspiration,keeping warming and conserving moisture,and saving water resources;( iv) Strengthening the construction of water conservancy facilities,so that it can be irrigated during drought and drained during waterlogging;( v) During dry season,timely organizing artificial rainfall operation,and increasing precipitation in arid areas to ease drought;( vi) Rationally exploiting the groundwater,and improving the underground water use efficiency.

Analysis of Cooperation between Wind Power and Load Side Resources

Development of the intermittent energy is greatly promoted by change in energy, while consumption of large-scale intermittent energy is becoming a problem. With the development of smart grid technology, controllability of load side resources is becoming more and more important. Based on the wave characteristics of wind power, this paper indicates that wind energy has continuous output characteristics on the hour-time scale. Through analysis on loads characteristic of industry, public facility and resident, this paper gets comprehensive response of load side resources. Considering characteristics of wind power output, combined with different load side resources and DR program, this paper suggests cooperation between wind power and load side resources on different time scales.

Recent advances in developing active targeting and multi-functional drug delivery systems via bioorthogonal chemistry

Bioorthogonal chemistry reactions occur in physiological conditions without interfering with normal physiological processes.Through metabolic engineering,bioorthogonal groups can be tagged onto cell membranes,which selectively attach to cargos with paired groups via bioorthogonal reactions.Due to its simplicity,high efficiency,and specificity,bioorthogonal chemistry has demonstrated great application potential in drug delivery.On the one hand,bioorthogonal reactions improve therapeutic agent delivery to target sites,overcoming off-target distribution.On the other hand,nanoparticles and biomolecules can be linked to cell membranes by bioorthogonal reactions,providing approaches to developing multi-functional drug delivery systems(DDSs).In this review,we first describe the principle of labeling cells or pathogenic microorganisms with bioorthogonal groups.We then highlight recent breakthroughs in developing active targeting DDSs to tumors,immune systems,or bacteria by bioorthogonal chemistry,as well as applications of bioorthogonal chemistry in developing functional bio-inspired DDSs(biomimetic DDSs,cell-based DDSs,bacteria-based and phage-based DDSs)and hydrogels.Finally,we discuss the difficulties and prospective direction of bioorthogonal chemistry in drug delivery.We expect this review will help us understand the latest advances in the development of active targeting and multi-functional DDSs using bioorthogonal chemistry and inspire innovative applications of bioorthogonal chemistry in developing smart DDSs for disease treatment.

Injectable peptide hydrogel as intraperitoneal triptolide depot for the treatment of orthotopic hepatocellular carcinoma

Chemotherapy is among the limited choices approved for the treatment of hepatocellular carcinoma(HCC) at intermediate and advanced stages. Preferential and prolonged drug exposure in diseased sites is required to maximize the therapeutic index of the drug. Here, we report an injectable supramolecular peptide hydrogel as an intraperitoneal depot for localized and sustained release of triptolide for the treatment of orthotopic HCC. We chose peptide amphiphile C16-GNNQQNYKD-OH-based nanofibers as gelators and carriers for triptolide. Sustained triptolide release from the hydrogel was achieved over 14 days in vitro, with higher accumulation in and cytotoxicity against human HCC Bel-7402 in comparison with L-02 fetal hepatocytes. After intraperitoneal injection, the hydrogel showed prolonged retention over 13 days and preferential accumulation in the liver, realizing HCC growth inhibition by99.7 ± 0.1% and animal median survival extension from 19 to 43 days, without causing noticeable pathological changes in the major organs. These results demonstrate that injectable peptide hydrogel can be a potential carrier for localized chemotherapy of HCC.

Phospholipid membrane-decorated deep-penetrated nanocatalase relieve tumor hypoxia to enhance chemo-photodynamic therapy

Hypoxia is a serious impediment to current treatments of many malignant tumors.Catalase,an antioxidant enzyme,is capable of decomposing endogenous hydrogen peroxide(H2O2)into oxygen for tumor reoxygenation,but suffered from in vivo instability and limited delivery to deep interior hypoxic regions in tumor.Herein,a deep-penetrated nanocatalase-loading DiIC18(5,DiD)and soravtansine(Cat@PDS)were provided by coating catalase nanoparticles with PEGylated phospholipids membrane,stimulating the structure and function of erythrocytes to relieve tumor hypoxia for enhanced chemophotodynamic therapy.After intravenous administration,Cat@PDS preferentially accumulated at tumor sites,flexibly penetrated into the interior regions of tumor mass and remarkably relieved the hypoxic status in tumor.Notably,the Cat@PDS+laser treatment produced striking inhibition of tumor growth and resulted in a 97.2%suppression of lung metastasis.Thus,the phospholipids membrane-coated nanocatalase system represents an encouraging nanoplatform to relieve tumor hypoxia and synergize the chemophotodynamic cancer therapy.

Targeting peptide-decorated biomimetic lipoproteins improve deep penetration and cancer cells accessibility in solid tumor

The limited penetration of nanoparticles and their poor accessibility to cancer cell fractions in tumor remain essential challenges for effective anticancer therapy.Herein,we designed a targeting peptide-decorated biomimetic lipoprotein(termed as BL-RD)to enable their deep penetration and efficient accessibility to cancer cell fractions in a tumor,thereby improving the combinational chemophotodynamic therapy of triple negative breast cancer.BL-RD was composed of phospholipids,apolipoprotein A1 mimetic peptide(PK22),targeting peptide-conjugated cytotoxic mertansine(RM)and photodynamic agents of DiIC18(5)(DiD).The counterpart biomimetic lipoprotein system without RM(termed as BL-D)was fabricated as control.Both BL-D and BL-RD were nanometer-sized particles with a mean diameter of less than 30 nm and could be efficiently internalized by cancer cells.After intravenous injection,they can be specifically accumulated at tumor sites.When comparing to the counterpart BLD,BL-RD displayed superior capability to permeate across the tumor mass,extravasate from tumor vasculature to distant regions and efficiently access the cancer cell fractions in a solid tumor,thus producing noticeable depression of the tumor growth.Taken together,BL-RD can be a promising delivery nanoplatform with prominent tumor-penetrating and cancer cells-accessing capability for effective tumor therapy.

Optimal Frequency Regulation Based on Characterizing the Air Conditioning Cluster by Online Deep Learning

The air conditioning cluster(ACC)is a potential candidate to provide frequency regulation reserves.However,the effective assessment of the ACC willing reserve capacity is often an obstacle for existing demand response(DR)programs,influenced by incentive prices,temperatures,etc.In this paper,the complex relationship between the ACC willing reserve capacity and its key influence factors is defined as a demand response characteristic(DRC).To learn about DRC along with real-time frequency regulation,an online deep learning-based DRC(ODLDRC)modeling methodology is designed to continuously retrain the deep neural network-based model.The ODL-DRC model trained by incoming new data does not require massive historical training data,which makes it more time-efficient.Then,the coordinate operation between ODL-DRC modeling and optimal frequency regulation(OFR)is presented.A robust decentralized sliding mode controller(DSMC)is designed to manage the ACC response power in primary frequency regulation against any ACC response uncertainty.An ODL-DRC model-based OFR scheme is formulated by taking the learning error into consideration.Thereby,the ODL-DRC model can be applied to minimize the total operational cost while maintaining frequency stability,without waiting for a well-trained model.The simulation cases validate the superiority of the OFR based on characterizing the ACC by online learning,which can capture the real DRC and simultaneously optimize the regulation performance with strong robustness against any ACC response uncertainty and learning error.